feature: Allow selecting inference response content for automl generated models - #1566

Merged
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master
Jun 12, 2020
Merged

feature: Allow selecting inference response content for automl generated models#1566
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master

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@pdasamzn

@pdasamznpdasamzn commented Jun 10, 2020

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Description of changes:
Allow selecting inference response content for Autopilot generated models

  1. Added attach() method to AutoML to allow attaching an AutoML object
    to an existing SageMaker AutoMLJob

  2. Added create_model() method to AutoML class that returns a PipelineModel
    that can be used to deploy or transform.

  3. Added a utility function validate_and_update_inference_response() to AutoML
    class to update the inference container list based on the requested inference
    response keys.

  4. Updated and added unit tests and integ tests

Testing done:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

  • I have read the CONTRIBUTING doc
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to any/all clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

pialidas added 2 commits June 10, 2020 11:59
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
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return self.sagemaker_session.list_candidates(**list_candidates_args)["Candidates"]

def deploy(
def create_model(

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Should this actually be private? I don't see a way to deploy an already created model here, maybe it exists outside of automl.py?

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no. I purposefully introduced the method create_model as public facing APIs. This does not really create the sagemaker model, but it allows to use the generated PipelineModel to perform batch transform as well.

see the test for an example usecase

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Looks good overall to me, just a minor comment about the workflow.

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@nadiaya
nadiaya merged commit 150e7e6 into aws:masterJun 12, 2020
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Jun 15, 2020
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Feature: Support GPU training recipes with Sagemaker Python SDK (aws#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (aws#1526)
* Feature: Resolve recipes correctly before launching (aws#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (aws#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (aws#1547)
* Update MANIFEST.in so that wheel builds correctly (aws#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (aws#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (aws#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
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@pdasamzn@sagemaker-bot@wiltonwu@nadiaya
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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})();
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Skip to content

feature: Allow selecting inference response content for automl generated models - #1566

Merged
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master
Jun 12, 2020
Merged

feature: Allow selecting inference response content for automl generated models#1566
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master

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@pdasamzn

@pdasamznpdasamzn commented Jun 10, 2020

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Description of changes:
Allow selecting inference response content for Autopilot generated models

  1. Added attach() method to AutoML to allow attaching an AutoML object
    to an existing SageMaker AutoMLJob

  2. Added create_model() method to AutoML class that returns a PipelineModel
    that can be used to deploy or transform.

  3. Added a utility function validate_and_update_inference_response() to AutoML
    class to update the inference container list based on the requested inference
    response keys.

  4. Updated and added unit tests and integ tests

Testing done:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

  • I have read the CONTRIBUTING doc
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to any/all clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

pialidas added 2 commits June 10, 2020 11:59
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
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return self.sagemaker_session.list_candidates(**list_candidates_args)["Candidates"]

def deploy(
def create_model(

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Should this actually be private? I don't see a way to deploy an already created model here, maybe it exists outside of automl.py?

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no. I purposefully introduced the method create_model as public facing APIs. This does not really create the sagemaker model, but it allows to use the generated PipelineModel to perform batch transform as well.

see the test for an example usecase

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Looks good overall to me, just a minor comment about the workflow.

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@nadiaya
nadiaya merged commit 150e7e6 into aws:masterJun 12, 2020
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Jun 15, 2020
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Feature: Support GPU training recipes with Sagemaker Python SDK (aws#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (aws#1526)
* Feature: Resolve recipes correctly before launching (aws#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (aws#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (aws#1547)
* Update MANIFEST.in so that wheel builds correctly (aws#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (aws#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (aws#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
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4 participants

@pdasamzn@sagemaker-bot@wiltonwu@nadiaya
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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feature: Allow selecting inference response content for automl generated models - #1566

Merged
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master
Jun 12, 2020
Merged

feature: Allow selecting inference response content for automl generated models#1566
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master

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@pdasamzn

@pdasamznpdasamzn commented Jun 10, 2020

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Description of changes:
Allow selecting inference response content for Autopilot generated models

  1. Added attach() method to AutoML to allow attaching an AutoML object
    to an existing SageMaker AutoMLJob

  2. Added create_model() method to AutoML class that returns a PipelineModel
    that can be used to deploy or transform.

  3. Added a utility function validate_and_update_inference_response() to AutoML
    class to update the inference container list based on the requested inference
    response keys.

  4. Updated and added unit tests and integ tests

Testing done:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

  • I have read the CONTRIBUTING doc
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to any/all clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

pialidas added 2 commits June 10, 2020 11:59
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
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return self.sagemaker_session.list_candidates(**list_candidates_args)["Candidates"]

def deploy(
def create_model(

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Should this actually be private? I don't see a way to deploy an already created model here, maybe it exists outside of automl.py?

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no. I purposefully introduced the method create_model as public facing APIs. This does not really create the sagemaker model, but it allows to use the generated PipelineModel to perform batch transform as well.

see the test for an example usecase

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Looks good overall to me, just a minor comment about the workflow.

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@nadiaya
nadiaya merged commit 150e7e6 into aws:masterJun 12, 2020
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Jun 15, 2020
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Feature: Support GPU training recipes with Sagemaker Python SDK (aws#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (aws#1526)
* Feature: Resolve recipes correctly before launching (aws#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (aws#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (aws#1547)
* Update MANIFEST.in so that wheel builds correctly (aws#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (aws#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (aws#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
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@pdasamzn@sagemaker-bot@wiltonwu@nadiaya
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feature: Allow selecting inference response content for automl generated models - #1566

Merged
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master
Jun 12, 2020
Merged

feature: Allow selecting inference response content for automl generated models#1566
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master

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@pdasamzn

@pdasamznpdasamzn commented Jun 10, 2020

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Description of changes:
Allow selecting inference response content for Autopilot generated models

  1. Added attach() method to AutoML to allow attaching an AutoML object
    to an existing SageMaker AutoMLJob

  2. Added create_model() method to AutoML class that returns a PipelineModel
    that can be used to deploy or transform.

  3. Added a utility function validate_and_update_inference_response() to AutoML
    class to update the inference container list based on the requested inference
    response keys.

  4. Updated and added unit tests and integ tests

Testing done:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

  • I have read the CONTRIBUTING doc
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to any/all clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

pialidas added 2 commits June 10, 2020 11:59
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
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return self.sagemaker_session.list_candidates(**list_candidates_args)["Candidates"]

def deploy(
def create_model(

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Should this actually be private? I don't see a way to deploy an already created model here, maybe it exists outside of automl.py?

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no. I purposefully introduced the method create_model as public facing APIs. This does not really create the sagemaker model, but it allows to use the generated PipelineModel to perform batch transform as well.

see the test for an example usecase

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Looks good overall to me, just a minor comment about the workflow.

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@nadiaya
nadiaya merged commit 150e7e6 into aws:masterJun 12, 2020
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Jun 15, 2020
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Feature: Support GPU training recipes with Sagemaker Python SDK (aws#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (aws#1526)
* Feature: Resolve recipes correctly before launching (aws#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (aws#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (aws#1547)
* Update MANIFEST.in so that wheel builds correctly (aws#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (aws#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (aws#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
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@pdasamzn@sagemaker-bot@wiltonwu@nadiaya
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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feature: Allow selecting inference response content for automl generated models - #1566

Merged
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master
Jun 12, 2020
Merged

feature: Allow selecting inference response content for automl generated models#1566
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master

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@pdasamzn

@pdasamznpdasamzn commented Jun 10, 2020

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Description of changes:
Allow selecting inference response content for Autopilot generated models

  1. Added attach() method to AutoML to allow attaching an AutoML object
    to an existing SageMaker AutoMLJob

  2. Added create_model() method to AutoML class that returns a PipelineModel
    that can be used to deploy or transform.

  3. Added a utility function validate_and_update_inference_response() to AutoML
    class to update the inference container list based on the requested inference
    response keys.

  4. Updated and added unit tests and integ tests

Testing done:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

  • I have read the CONTRIBUTING doc
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to any/all clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

pialidas added 2 commits June 10, 2020 11:59
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
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return self.sagemaker_session.list_candidates(**list_candidates_args)["Candidates"]

def deploy(
def create_model(

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Should this actually be private? I don't see a way to deploy an already created model here, maybe it exists outside of automl.py?

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no. I purposefully introduced the method create_model as public facing APIs. This does not really create the sagemaker model, but it allows to use the generated PipelineModel to perform batch transform as well.

see the test for an example usecase

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Looks good overall to me, just a minor comment about the workflow.

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@nadiaya
nadiaya merged commit 150e7e6 into aws:masterJun 12, 2020
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Jun 15, 2020
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Feature: Support GPU training recipes with Sagemaker Python SDK (aws#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (aws#1526)
* Feature: Resolve recipes correctly before launching (aws#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (aws#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (aws#1547)
* Update MANIFEST.in so that wheel builds correctly (aws#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (aws#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (aws#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
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4 participants

@pdasamzn@sagemaker-bot@wiltonwu@nadiaya
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feature: Allow selecting inference response content for automl generated models - #1566

Merged
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master
Jun 12, 2020
Merged

feature: Allow selecting inference response content for automl generated models#1566
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master

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@pdasamzn

@pdasamznpdasamzn commented Jun 10, 2020

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Description of changes:
Allow selecting inference response content for Autopilot generated models

  1. Added attach() method to AutoML to allow attaching an AutoML object
    to an existing SageMaker AutoMLJob

  2. Added create_model() method to AutoML class that returns a PipelineModel
    that can be used to deploy or transform.

  3. Added a utility function validate_and_update_inference_response() to AutoML
    class to update the inference container list based on the requested inference
    response keys.

  4. Updated and added unit tests and integ tests

Testing done:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

  • I have read the CONTRIBUTING doc
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to any/all clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

pialidas added 2 commits June 10, 2020 11:59
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
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return self.sagemaker_session.list_candidates(**list_candidates_args)["Candidates"]

def deploy(
def create_model(

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Should this actually be private? I don't see a way to deploy an already created model here, maybe it exists outside of automl.py?

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no. I purposefully introduced the method create_model as public facing APIs. This does not really create the sagemaker model, but it allows to use the generated PipelineModel to perform batch transform as well.

see the test for an example usecase

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Looks good overall to me, just a minor comment about the workflow.

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@nadiaya
nadiaya merged commit 150e7e6 into aws:masterJun 12, 2020
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Jun 15, 2020
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Feature: Support GPU training recipes with Sagemaker Python SDK (aws#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (aws#1526)
* Feature: Resolve recipes correctly before launching (aws#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (aws#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (aws#1547)
* Update MANIFEST.in so that wheel builds correctly (aws#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (aws#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (aws#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
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@pdasamzn@sagemaker-bot@wiltonwu@nadiaya
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feature: Allow selecting inference response content for automl generated models - #1566

Merged
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master
Jun 12, 2020
Merged

feature: Allow selecting inference response content for automl generated models#1566
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master

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@pdasamzn

@pdasamznpdasamzn commented Jun 10, 2020

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Description of changes:
Allow selecting inference response content for Autopilot generated models

  1. Added attach() method to AutoML to allow attaching an AutoML object
    to an existing SageMaker AutoMLJob

  2. Added create_model() method to AutoML class that returns a PipelineModel
    that can be used to deploy or transform.

  3. Added a utility function validate_and_update_inference_response() to AutoML
    class to update the inference container list based on the requested inference
    response keys.

  4. Updated and added unit tests and integ tests

Testing done:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

  • I have read the CONTRIBUTING doc
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to any/all clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

pialidas added 2 commits June 10, 2020 11:59
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
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return self.sagemaker_session.list_candidates(**list_candidates_args)["Candidates"]

def deploy(
def create_model(

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Should this actually be private? I don't see a way to deploy an already created model here, maybe it exists outside of automl.py?

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no. I purposefully introduced the method create_model as public facing APIs. This does not really create the sagemaker model, but it allows to use the generated PipelineModel to perform batch transform as well.

see the test for an example usecase

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Looks good overall to me, just a minor comment about the workflow.

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@nadiaya
nadiaya merged commit 150e7e6 into aws:masterJun 12, 2020
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Jun 15, 2020
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Feature: Support GPU training recipes with Sagemaker Python SDK (aws#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (aws#1526)
* Feature: Resolve recipes correctly before launching (aws#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (aws#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (aws#1547)
* Update MANIFEST.in so that wheel builds correctly (aws#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (aws#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (aws#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
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4 participants

@pdasamzn@sagemaker-bot@wiltonwu@nadiaya
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feature: Allow selecting inference response content for automl generated models - #1566

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nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master
Jun 12, 2020
Merged

feature: Allow selecting inference response content for automl generated models#1566
nadiaya merged 10 commits into
aws:masterfrom
pdasamzn:master

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@pdasamzn

@pdasamznpdasamzn commented Jun 10, 2020

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Description of changes:
Allow selecting inference response content for Autopilot generated models

  1. Added attach() method to AutoML to allow attaching an AutoML object
    to an existing SageMaker AutoMLJob

  2. Added create_model() method to AutoML class that returns a PipelineModel
    that can be used to deploy or transform.

  3. Added a utility function validate_and_update_inference_response() to AutoML
    class to update the inference container list based on the requested inference
    response keys.

  4. Updated and added unit tests and integ tests

Testing done:

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

  • I have read the CONTRIBUTING doc
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to any/all clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

pialidas added 2 commits June 10, 2020 11:59
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
1. Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
2. Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
3. Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
4. Updated and added unit tests
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return self.sagemaker_session.list_candidates(**list_candidates_args)["Candidates"]

def deploy(
def create_model(

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Should this actually be private? I don't see a way to deploy an already created model here, maybe it exists outside of automl.py?

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no. I purposefully introduced the method create_model as public facing APIs. This does not really create the sagemaker model, but it allows to use the generated PipelineModel to perform batch transform as well.

see the test for an example usecase

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Looks good overall to me, just a minor comment about the workflow.

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@nadiaya
nadiaya merged commit 150e7e6 into aws:masterJun 12, 2020
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Jun 15, 2020
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
Resolve recipes correctly before launching (#1529)
fixes. (#1532)
fix recipe path. (#1566)
pintaoz-aws pushed a commit that referenced this pull request Dec 4, 2024
* Feature: Support GPU training recipes with Sagemaker Python SDK (#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (#1526)
* Feature: Resolve recipes correctly before launching (#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (#1547)
* Update MANIFEST.in so that wheel builds correctly (#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…ted models (aws#1566)
* Added attach() method to AutoML to allow attaching an AutoML object
to an existing AutoMLJob
* Added create_model() method to AutoML that returns a PipelineModel
that can be used by the
* Added a util function validate_and_update_inference_response() to
update the inference container list based on the requested
inference response keys
* Updated and added unit tests
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Resolve recipes correctly before launching (aws#1529)
fixes. (aws#1532)
fix recipe path. (aws#1566)
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Feature: Support GPU training recipes with Sagemaker Python SDK (aws#1516)
* v0 estimator for launching kandinksy training
* code cleanup
* option to over-ride git repos for kandinsky for testing purposes
* update dependencies
* update comment
* formatting fixes
* style fixes
* code cleanup
* Add warning messages for ingored arguments
* cleanup, address comments
* fix
* clone launcher repo only if necessary
* add a cleanup method to call after fit
* fix docstring
* fix warning
* cleanup update
* fix
* code style fix
* rename cleanup method for clarity
* missed change
* move cleanup to when object is destroyed
* add unit tests
* formatting fix
* removing tests which don't work as recipe repos are private
* removing tests which don't work as recipe repos are private
* resolve comments
* resolve comments
* Feature: Support Neuron training recipes. (aws#1526)
* Feature: Resolve recipes correctly before launching (aws#1529)
* fix to work with launcher recipes
* fix suffix for temp file
* fix path and error message
* fix for recipes from launcher
* resolve recipes correctly
* fix imports
* reformat message to avoid code-doc test issue
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* code style fix
* doc formatting
* check if resolver exists before registering
* Feature: Add unit tests for recipes and minor bug fixes. (aws#1532)
* basic checks and unit test for recipes
* More testing for recipes. Move recipe overrides to top before accessing any recipe fields.
* check that we use customer provided image uri if it is set
* reformat
* test fixes
* update git urls for recipes
* revert to ssh git urls for recipes
* Feature: Move image uris and git repos for training recipes to json (aws#1547)
* Update MANIFEST.in so that wheel builds correctly (aws#1563)
* Remove default values for fields in recipe_overrides and fix recipe path. (aws#1566)
* add optional source dir for recipes, copy training code and requirements to source dir
* diff names for recipe file and local script option
* format and add unit test
* make entry point script and recipe file temp files that can be gced
* formatting and fix
* test fix
* test fixes
* format fix
* break function up because it is too long
* fixes
* fix
* fix
* remove references to launcher and adapter dir as we copy out everything needed into source dir
* reformat
* copy all directory contents for trainium as there is more than one source file
* fix
* fix
* remove debugging message
* Change default source directory to current, add option to specify source dir (aws#1593)
* update to public uris for hyperpod recipe repos and smp image
* fixes
* remove debug copies
* change caps for env vars
* skip some tests for now
* format
* neuron json for retrieving images
* update training_recipes.json
* add unit test
* reformat
* fix long line
* add source dir check when using training recipe
* adding more regions
* reformat
* doc update
* doc update
* doc update
* doc update
* fix capitalization issues
* fix capitalization issues
* doc check issue
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@pdasamzn@sagemaker-bot@wiltonwu@nadiaya