Add model parameters to Estimator, and bump library version to 1.13.0 - #450

Merged
nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training
Nov 1, 2018
Merged

Add model parameters to Estimator, and bump library version to 1.13.0#450
nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training

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@RodrigoAtAWS

@RodrigoAtAWSRodrigoAtAWS commented Oct 30, 2018

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Issue #, if available:

Description of changes:

This code change adds the following changes to Estimators:

  • Added the ability to set the input mode on each channel. The input mode will default to whatever's set on the Estimator, but if a channel specifies its own input mode it will override that value.
  • Added two new parameters to the Estimator class: model_uri, which points to pre-existing model artifacts in S3 or locally, and model_channel_name (default: 'model'). When both are set and a user calls Estimator.fit(), the estimator will create a new input channel under that name, pointing to the contents of model_uri and using SageMaker's recommended settings for model artifact consumption.

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.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

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

@codecov-io

codecov-io commented Oct 30, 2018

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Codecov Report

Merging #450 into master will decrease coverage by 0.07%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #450 +/- ##
==========================================
- Coverage 93.75% 93.67% -0.08% 
==========================================
Files 55 55 Lines 4034 4079 +45 ==========================================
+ Hits 3782 3821 +39 - Misses 252 258 +6
Impacted FilesCoverage Δ
src/sagemaker/__init__.py100% <100%> (ø)⬆️
src/sagemaker/amazon/amazon_estimator.py88.8% <100%> (+0.08%)⬆️
src/sagemaker/tensorflow/estimator.py93.57% <100%> (+0.04%)⬆️
src/sagemaker/mxnet/estimator.py100% <100%> (ø)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/chainer/estimator.py100% <100%> (ø)⬆️
src/sagemaker/pytorch/estimator.py100% <100%> (ø)⬆️
src/sagemaker/job.py96.11% <100%> (+1.11%)⬆️
src/sagemaker/estimator.py90.07% <100%> (+0.55%)⬆️
src/sagemaker/local/image.py88.92% <0%> (-1.9%)⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5595af...9d838ec. Read the comment docs.

@RodrigoAtAWSRodrigoAtAWS self-assigned this Oct 30, 2018
@RodrigoAtAWSRodrigoAtAWS changed the title Add incremental training model parameters to Estimator, and bump library version to 1.13.0Add model parameters to Estimator, and bump library version to 1.13.0Oct 30, 2018

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make sure @eslesar-aws has a chance at some point to look at the doc changes as well

Comment threadsrc/sagemaker/estimator.py Outdated
Valid values are defined in the Python logging module.
code_location (str): Name of the S3 bucket where custom code is uploaded (default: None).
If not specified, default bucket created by ``sagemaker.session.Session`` is used.
**kwargs: Additional kwargs passed to the ``EstimatorBase`` constructor.

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remove this line (it's already on l. 652)

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Will remove, thanks for pointing it out.

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Now I'm curious how I even got that line there. I'll do a second pass over the code changes.

Comment threadREADME.rst Outdated
Incremental Training
~~~~~~~~~~~~~~~~~~~~

Incremental training allows you to bring a pre-trained model into a SageMaker training job, to use as a starting point for a new model.

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nitpick: remove the comma in this sentence

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Will also remove.

laurenyu
laurenyu previously approved these changes Nov 1, 2018

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giving an approve with the assumption there will be a follow-up PR to fix the two small issues. (talked with @nadiaya offline.)

Removed unnecessary comma from sentence.
Removed duplicated line
@nadiaya
nadiaya merged commit 507f2cd into aws:masterNov 1, 2018
pdasamzn pushed a commit to pdasamzn/sagemaker-python-sdk that referenced this pull request Nov 1, 2018
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
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@RodrigoAtAWS@codecov-io@laurenyu@nadiaya
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks"); } } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); } })(); (function(){ try { var __m = "github.com"; var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Add model parameters to Estimator, and bump library version to 1.13.0 - #450

Merged
nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training
Nov 1, 2018
Merged

Add model parameters to Estimator, and bump library version to 1.13.0#450
nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training

Conversation

@RodrigoAtAWS

@RodrigoAtAWSRodrigoAtAWS commented Oct 30, 2018

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Issue #, if available:

Description of changes:

This code change adds the following changes to Estimators:

  • Added the ability to set the input mode on each channel. The input mode will default to whatever's set on the Estimator, but if a channel specifies its own input mode it will override that value.
  • Added two new parameters to the Estimator class: model_uri, which points to pre-existing model artifacts in S3 or locally, and model_channel_name (default: 'model'). When both are set and a user calls Estimator.fit(), the estimator will create a new input channel under that name, pointing to the contents of model_uri and using SageMaker's recommended settings for model artifact consumption.

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.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

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

@codecov-io

codecov-io commented Oct 30, 2018

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Codecov Report

Merging #450 into master will decrease coverage by 0.07%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #450 +/- ##
==========================================
- Coverage 93.75% 93.67% -0.08% 
==========================================
Files 55 55 Lines 4034 4079 +45 ==========================================
+ Hits 3782 3821 +39 - Misses 252 258 +6
Impacted FilesCoverage Δ
src/sagemaker/__init__.py100% <100%> (ø)⬆️
src/sagemaker/amazon/amazon_estimator.py88.8% <100%> (+0.08%)⬆️
src/sagemaker/tensorflow/estimator.py93.57% <100%> (+0.04%)⬆️
src/sagemaker/mxnet/estimator.py100% <100%> (ø)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/chainer/estimator.py100% <100%> (ø)⬆️
src/sagemaker/pytorch/estimator.py100% <100%> (ø)⬆️
src/sagemaker/job.py96.11% <100%> (+1.11%)⬆️
src/sagemaker/estimator.py90.07% <100%> (+0.55%)⬆️
src/sagemaker/local/image.py88.92% <0%> (-1.9%)⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5595af...9d838ec. Read the comment docs.

@RodrigoAtAWSRodrigoAtAWS self-assigned this Oct 30, 2018
@RodrigoAtAWSRodrigoAtAWS changed the title Add incremental training model parameters to Estimator, and bump library version to 1.13.0Add model parameters to Estimator, and bump library version to 1.13.0Oct 30, 2018

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make sure @eslesar-aws has a chance at some point to look at the doc changes as well

Comment threadsrc/sagemaker/estimator.py Outdated
Valid values are defined in the Python logging module.
code_location (str): Name of the S3 bucket where custom code is uploaded (default: None).
If not specified, default bucket created by ``sagemaker.session.Session`` is used.
**kwargs: Additional kwargs passed to the ``EstimatorBase`` constructor.

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remove this line (it's already on l. 652)

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Will remove, thanks for pointing it out.

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Now I'm curious how I even got that line there. I'll do a second pass over the code changes.

Comment threadREADME.rst Outdated
Incremental Training
~~~~~~~~~~~~~~~~~~~~

Incremental training allows you to bring a pre-trained model into a SageMaker training job, to use as a starting point for a new model.

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nitpick: remove the comma in this sentence

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Will also remove.

laurenyu
laurenyu previously approved these changes Nov 1, 2018

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giving an approve with the assumption there will be a follow-up PR to fix the two small issues. (talked with @nadiaya offline.)

Removed unnecessary comma from sentence.
Removed duplicated line
@nadiaya
nadiaya merged commit 507f2cd into aws:masterNov 1, 2018
pdasamzn pushed a commit to pdasamzn/sagemaker-python-sdk that referenced this pull request Nov 1, 2018
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
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4 participants

@RodrigoAtAWS@codecov-io@laurenyu@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('^' + ".*" + '
Skip to content

Add model parameters to Estimator, and bump library version to 1.13.0 - #450

Merged
nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training
Nov 1, 2018
Merged

Add model parameters to Estimator, and bump library version to 1.13.0#450
nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training

Conversation

@RodrigoAtAWS

@RodrigoAtAWSRodrigoAtAWS commented Oct 30, 2018

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Issue #, if available:

Description of changes:

This code change adds the following changes to Estimators:

  • Added the ability to set the input mode on each channel. The input mode will default to whatever's set on the Estimator, but if a channel specifies its own input mode it will override that value.
  • Added two new parameters to the Estimator class: model_uri, which points to pre-existing model artifacts in S3 or locally, and model_channel_name (default: 'model'). When both are set and a user calls Estimator.fit(), the estimator will create a new input channel under that name, pointing to the contents of model_uri and using SageMaker's recommended settings for model artifact consumption.

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.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

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

@codecov-io

codecov-io commented Oct 30, 2018

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Codecov Report

Merging #450 into master will decrease coverage by 0.07%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #450 +/- ##
==========================================
- Coverage 93.75% 93.67% -0.08% 
==========================================
Files 55 55 Lines 4034 4079 +45 ==========================================
+ Hits 3782 3821 +39 - Misses 252 258 +6
Impacted FilesCoverage Δ
src/sagemaker/__init__.py100% <100%> (ø)⬆️
src/sagemaker/amazon/amazon_estimator.py88.8% <100%> (+0.08%)⬆️
src/sagemaker/tensorflow/estimator.py93.57% <100%> (+0.04%)⬆️
src/sagemaker/mxnet/estimator.py100% <100%> (ø)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/chainer/estimator.py100% <100%> (ø)⬆️
src/sagemaker/pytorch/estimator.py100% <100%> (ø)⬆️
src/sagemaker/job.py96.11% <100%> (+1.11%)⬆️
src/sagemaker/estimator.py90.07% <100%> (+0.55%)⬆️
src/sagemaker/local/image.py88.92% <0%> (-1.9%)⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5595af...9d838ec. Read the comment docs.

@RodrigoAtAWSRodrigoAtAWS self-assigned this Oct 30, 2018
@RodrigoAtAWSRodrigoAtAWS changed the title Add incremental training model parameters to Estimator, and bump library version to 1.13.0Add model parameters to Estimator, and bump library version to 1.13.0Oct 30, 2018

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make sure @eslesar-aws has a chance at some point to look at the doc changes as well

Comment threadsrc/sagemaker/estimator.py Outdated
Valid values are defined in the Python logging module.
code_location (str): Name of the S3 bucket where custom code is uploaded (default: None).
If not specified, default bucket created by ``sagemaker.session.Session`` is used.
**kwargs: Additional kwargs passed to the ``EstimatorBase`` constructor.

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remove this line (it's already on l. 652)

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Will remove, thanks for pointing it out.

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Now I'm curious how I even got that line there. I'll do a second pass over the code changes.

Comment threadREADME.rst Outdated
Incremental Training
~~~~~~~~~~~~~~~~~~~~

Incremental training allows you to bring a pre-trained model into a SageMaker training job, to use as a starting point for a new model.

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nitpick: remove the comma in this sentence

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Will also remove.

laurenyu
laurenyu previously approved these changes Nov 1, 2018

@laurenyulaurenyu left a comment

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giving an approve with the assumption there will be a follow-up PR to fix the two small issues. (talked with @nadiaya offline.)

Removed unnecessary comma from sentence.
Removed duplicated line
@nadiaya
nadiaya merged commit 507f2cd into aws:masterNov 1, 2018
pdasamzn pushed a commit to pdasamzn/sagemaker-python-sdk that referenced this pull request Nov 1, 2018
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
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4 participants

@RodrigoAtAWS@codecov-io@laurenyu@nadiaya
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length \u003e 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Add model parameters to Estimator, and bump library version to 1.13.0 - #450

Merged
nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training
Nov 1, 2018
Merged

Add model parameters to Estimator, and bump library version to 1.13.0#450
nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training

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@RodrigoAtAWS

@RodrigoAtAWSRodrigoAtAWS commented Oct 30, 2018

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Issue #, if available:

Description of changes:

This code change adds the following changes to Estimators:

  • Added the ability to set the input mode on each channel. The input mode will default to whatever's set on the Estimator, but if a channel specifies its own input mode it will override that value.
  • Added two new parameters to the Estimator class: model_uri, which points to pre-existing model artifacts in S3 or locally, and model_channel_name (default: 'model'). When both are set and a user calls Estimator.fit(), the estimator will create a new input channel under that name, pointing to the contents of model_uri and using SageMaker's recommended settings for model artifact consumption.

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.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

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

@codecov-io

codecov-io commented Oct 30, 2018

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Codecov Report

Merging #450 into master will decrease coverage by 0.07%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #450 +/- ##
==========================================
- Coverage 93.75% 93.67% -0.08% 
==========================================
Files 55 55 Lines 4034 4079 +45 ==========================================
+ Hits 3782 3821 +39 - Misses 252 258 +6
Impacted FilesCoverage Δ
src/sagemaker/__init__.py100% <100%> (ø)⬆️
src/sagemaker/amazon/amazon_estimator.py88.8% <100%> (+0.08%)⬆️
src/sagemaker/tensorflow/estimator.py93.57% <100%> (+0.04%)⬆️
src/sagemaker/mxnet/estimator.py100% <100%> (ø)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/chainer/estimator.py100% <100%> (ø)⬆️
src/sagemaker/pytorch/estimator.py100% <100%> (ø)⬆️
src/sagemaker/job.py96.11% <100%> (+1.11%)⬆️
src/sagemaker/estimator.py90.07% <100%> (+0.55%)⬆️
src/sagemaker/local/image.py88.92% <0%> (-1.9%)⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5595af...9d838ec. Read the comment docs.

@RodrigoAtAWSRodrigoAtAWS self-assigned this Oct 30, 2018
@RodrigoAtAWSRodrigoAtAWS changed the title Add incremental training model parameters to Estimator, and bump library version to 1.13.0Add model parameters to Estimator, and bump library version to 1.13.0Oct 30, 2018

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make sure @eslesar-aws has a chance at some point to look at the doc changes as well

Comment threadsrc/sagemaker/estimator.py Outdated
Valid values are defined in the Python logging module.
code_location (str): Name of the S3 bucket where custom code is uploaded (default: None).
If not specified, default bucket created by ``sagemaker.session.Session`` is used.
**kwargs: Additional kwargs passed to the ``EstimatorBase`` constructor.

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remove this line (it's already on l. 652)

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Will remove, thanks for pointing it out.

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Now I'm curious how I even got that line there. I'll do a second pass over the code changes.

Comment threadREADME.rst Outdated
Incremental Training
~~~~~~~~~~~~~~~~~~~~

Incremental training allows you to bring a pre-trained model into a SageMaker training job, to use as a starting point for a new model.

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nitpick: remove the comma in this sentence

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Will also remove.

laurenyu
laurenyu previously approved these changes Nov 1, 2018

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giving an approve with the assumption there will be a follow-up PR to fix the two small issues. (talked with @nadiaya offline.)

Removed unnecessary comma from sentence.
Removed duplicated line
@nadiaya
nadiaya merged commit 507f2cd into aws:masterNov 1, 2018
pdasamzn pushed a commit to pdasamzn/sagemaker-python-sdk that referenced this pull request Nov 1, 2018
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
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@RodrigoAtAWS@codecov-io@laurenyu@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" + '
Skip to content

Add model parameters to Estimator, and bump library version to 1.13.0 - #450

Merged
nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training
Nov 1, 2018
Merged

Add model parameters to Estimator, and bump library version to 1.13.0#450
nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training

Conversation

@RodrigoAtAWS

@RodrigoAtAWSRodrigoAtAWS commented Oct 30, 2018

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Issue #, if available:

Description of changes:

This code change adds the following changes to Estimators:

  • Added the ability to set the input mode on each channel. The input mode will default to whatever's set on the Estimator, but if a channel specifies its own input mode it will override that value.
  • Added two new parameters to the Estimator class: model_uri, which points to pre-existing model artifacts in S3 or locally, and model_channel_name (default: 'model'). When both are set and a user calls Estimator.fit(), the estimator will create a new input channel under that name, pointing to the contents of model_uri and using SageMaker's recommended settings for model artifact consumption.

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.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

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

@codecov-io

codecov-io commented Oct 30, 2018

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Codecov Report

Merging #450 into master will decrease coverage by 0.07%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #450 +/- ##
==========================================
- Coverage 93.75% 93.67% -0.08% 
==========================================
Files 55 55 Lines 4034 4079 +45 ==========================================
+ Hits 3782 3821 +39 - Misses 252 258 +6
Impacted FilesCoverage Δ
src/sagemaker/__init__.py100% <100%> (ø)⬆️
src/sagemaker/amazon/amazon_estimator.py88.8% <100%> (+0.08%)⬆️
src/sagemaker/tensorflow/estimator.py93.57% <100%> (+0.04%)⬆️
src/sagemaker/mxnet/estimator.py100% <100%> (ø)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/chainer/estimator.py100% <100%> (ø)⬆️
src/sagemaker/pytorch/estimator.py100% <100%> (ø)⬆️
src/sagemaker/job.py96.11% <100%> (+1.11%)⬆️
src/sagemaker/estimator.py90.07% <100%> (+0.55%)⬆️
src/sagemaker/local/image.py88.92% <0%> (-1.9%)⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5595af...9d838ec. Read the comment docs.

@RodrigoAtAWSRodrigoAtAWS self-assigned this Oct 30, 2018
@RodrigoAtAWSRodrigoAtAWS changed the title Add incremental training model parameters to Estimator, and bump library version to 1.13.0Add model parameters to Estimator, and bump library version to 1.13.0Oct 30, 2018

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make sure @eslesar-aws has a chance at some point to look at the doc changes as well

Comment threadsrc/sagemaker/estimator.py Outdated
Valid values are defined in the Python logging module.
code_location (str): Name of the S3 bucket where custom code is uploaded (default: None).
If not specified, default bucket created by ``sagemaker.session.Session`` is used.
**kwargs: Additional kwargs passed to the ``EstimatorBase`` constructor.

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remove this line (it's already on l. 652)

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Will remove, thanks for pointing it out.

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Now I'm curious how I even got that line there. I'll do a second pass over the code changes.

Comment threadREADME.rst Outdated
Incremental Training
~~~~~~~~~~~~~~~~~~~~

Incremental training allows you to bring a pre-trained model into a SageMaker training job, to use as a starting point for a new model.

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nitpick: remove the comma in this sentence

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Will also remove.

laurenyu
laurenyu previously approved these changes Nov 1, 2018

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giving an approve with the assumption there will be a follow-up PR to fix the two small issues. (talked with @nadiaya offline.)

Removed unnecessary comma from sentence.
Removed duplicated line
@nadiaya
nadiaya merged commit 507f2cd into aws:masterNov 1, 2018
pdasamzn pushed a commit to pdasamzn/sagemaker-python-sdk that referenced this pull request Nov 1, 2018
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
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4 participants

@RodrigoAtAWS@codecov-io@laurenyu@nadiaya
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Add model parameters to Estimator, and bump library version to 1.13.0 - #450

Merged
nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training
Nov 1, 2018
Merged

Add model parameters to Estimator, and bump library version to 1.13.0#450
nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training

Conversation

@RodrigoAtAWS

@RodrigoAtAWSRodrigoAtAWS commented Oct 30, 2018

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Issue #, if available:

Description of changes:

This code change adds the following changes to Estimators:

  • Added the ability to set the input mode on each channel. The input mode will default to whatever's set on the Estimator, but if a channel specifies its own input mode it will override that value.
  • Added two new parameters to the Estimator class: model_uri, which points to pre-existing model artifacts in S3 or locally, and model_channel_name (default: 'model'). When both are set and a user calls Estimator.fit(), the estimator will create a new input channel under that name, pointing to the contents of model_uri and using SageMaker's recommended settings for model artifact consumption.

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.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

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

@codecov-io

codecov-io commented Oct 30, 2018

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Codecov Report

Merging #450 into master will decrease coverage by 0.07%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #450 +/- ##
==========================================
- Coverage 93.75% 93.67% -0.08% 
==========================================
Files 55 55 Lines 4034 4079 +45 ==========================================
+ Hits 3782 3821 +39 - Misses 252 258 +6
Impacted FilesCoverage Δ
src/sagemaker/__init__.py100% <100%> (ø)⬆️
src/sagemaker/amazon/amazon_estimator.py88.8% <100%> (+0.08%)⬆️
src/sagemaker/tensorflow/estimator.py93.57% <100%> (+0.04%)⬆️
src/sagemaker/mxnet/estimator.py100% <100%> (ø)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/chainer/estimator.py100% <100%> (ø)⬆️
src/sagemaker/pytorch/estimator.py100% <100%> (ø)⬆️
src/sagemaker/job.py96.11% <100%> (+1.11%)⬆️
src/sagemaker/estimator.py90.07% <100%> (+0.55%)⬆️
src/sagemaker/local/image.py88.92% <0%> (-1.9%)⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5595af...9d838ec. Read the comment docs.

@RodrigoAtAWSRodrigoAtAWS self-assigned this Oct 30, 2018
@RodrigoAtAWSRodrigoAtAWS changed the title Add incremental training model parameters to Estimator, and bump library version to 1.13.0Add model parameters to Estimator, and bump library version to 1.13.0Oct 30, 2018

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make sure @eslesar-aws has a chance at some point to look at the doc changes as well

Comment threadsrc/sagemaker/estimator.py Outdated
Valid values are defined in the Python logging module.
code_location (str): Name of the S3 bucket where custom code is uploaded (default: None).
If not specified, default bucket created by ``sagemaker.session.Session`` is used.
**kwargs: Additional kwargs passed to the ``EstimatorBase`` constructor.

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remove this line (it's already on l. 652)

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Will remove, thanks for pointing it out.

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Now I'm curious how I even got that line there. I'll do a second pass over the code changes.

Comment threadREADME.rst Outdated
Incremental Training
~~~~~~~~~~~~~~~~~~~~

Incremental training allows you to bring a pre-trained model into a SageMaker training job, to use as a starting point for a new model.

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nitpick: remove the comma in this sentence

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Will also remove.

laurenyu
laurenyu previously approved these changes Nov 1, 2018

@laurenyulaurenyu left a comment

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giving an approve with the assumption there will be a follow-up PR to fix the two small issues. (talked with @nadiaya offline.)

Removed unnecessary comma from sentence.
Removed duplicated line
@nadiaya
nadiaya merged commit 507f2cd into aws:masterNov 1, 2018
pdasamzn pushed a commit to pdasamzn/sagemaker-python-sdk that referenced this pull request Nov 1, 2018
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
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Successfully merging this pull request may close these issues.

4 participants

@RodrigoAtAWS@codecov-io@laurenyu@nadiaya
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Add model parameters to Estimator, and bump library version to 1.13.0 - #450

Merged
nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training
Nov 1, 2018
Merged

Add model parameters to Estimator, and bump library version to 1.13.0#450
nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training

Conversation

@RodrigoAtAWS

@RodrigoAtAWSRodrigoAtAWS commented Oct 30, 2018

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Issue #, if available:

Description of changes:

This code change adds the following changes to Estimators:

  • Added the ability to set the input mode on each channel. The input mode will default to whatever's set on the Estimator, but if a channel specifies its own input mode it will override that value.
  • Added two new parameters to the Estimator class: model_uri, which points to pre-existing model artifacts in S3 or locally, and model_channel_name (default: 'model'). When both are set and a user calls Estimator.fit(), the estimator will create a new input channel under that name, pointing to the contents of model_uri and using SageMaker's recommended settings for model artifact consumption.

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.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

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

@codecov-io

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Codecov Report

Merging #450 into master will decrease coverage by 0.07%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #450 +/- ##
==========================================
- Coverage 93.75% 93.67% -0.08% 
==========================================
Files 55 55 Lines 4034 4079 +45 ==========================================
+ Hits 3782 3821 +39 - Misses 252 258 +6
Impacted FilesCoverage Δ
src/sagemaker/__init__.py100% <100%> (ø)⬆️
src/sagemaker/amazon/amazon_estimator.py88.8% <100%> (+0.08%)⬆️
src/sagemaker/tensorflow/estimator.py93.57% <100%> (+0.04%)⬆️
src/sagemaker/mxnet/estimator.py100% <100%> (ø)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/chainer/estimator.py100% <100%> (ø)⬆️
src/sagemaker/pytorch/estimator.py100% <100%> (ø)⬆️
src/sagemaker/job.py96.11% <100%> (+1.11%)⬆️
src/sagemaker/estimator.py90.07% <100%> (+0.55%)⬆️
src/sagemaker/local/image.py88.92% <0%> (-1.9%)⬇️

Continue to review full report at Codecov.

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@RodrigoAtAWSRodrigoAtAWS self-assigned this Oct 30, 2018
@RodrigoAtAWSRodrigoAtAWS changed the title Add incremental training model parameters to Estimator, and bump library version to 1.13.0Add model parameters to Estimator, and bump library version to 1.13.0Oct 30, 2018

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make sure @eslesar-aws has a chance at some point to look at the doc changes as well

Comment threadsrc/sagemaker/estimator.py Outdated
Valid values are defined in the Python logging module.
code_location (str): Name of the S3 bucket where custom code is uploaded (default: None).
If not specified, default bucket created by ``sagemaker.session.Session`` is used.
**kwargs: Additional kwargs passed to the ``EstimatorBase`` constructor.

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remove this line (it's already on l. 652)

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Will remove, thanks for pointing it out.

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Now I'm curious how I even got that line there. I'll do a second pass over the code changes.

Comment threadREADME.rst Outdated
Incremental Training
~~~~~~~~~~~~~~~~~~~~

Incremental training allows you to bring a pre-trained model into a SageMaker training job, to use as a starting point for a new model.

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nitpick: remove the comma in this sentence

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Will also remove.

laurenyu
laurenyu previously approved these changes Nov 1, 2018

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giving an approve with the assumption there will be a follow-up PR to fix the two small issues. (talked with @nadiaya offline.)

Removed unnecessary comma from sentence.
Removed duplicated line
@nadiaya
nadiaya merged commit 507f2cd into aws:masterNov 1, 2018
pdasamzn pushed a commit to pdasamzn/sagemaker-python-sdk that referenced this pull request Nov 1, 2018
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
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@RodrigoAtAWS@codecov-io@laurenyu@nadiaya
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Add model parameters to Estimator, and bump library version to 1.13.0 - #450

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nadiaya merged 3 commits into
aws:masterfrom
RodrigoAtAWS:incr-training
Nov 1, 2018
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Add model parameters to Estimator, and bump library version to 1.13.0#450
nadiaya merged 3 commits into
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RodrigoAtAWS:incr-training

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@RodrigoAtAWS

@RodrigoAtAWSRodrigoAtAWS commented Oct 30, 2018

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Issue #, if available:

Description of changes:

This code change adds the following changes to Estimators:

  • Added the ability to set the input mode on each channel. The input mode will default to whatever's set on the Estimator, but if a channel specifies its own input mode it will override that value.
  • Added two new parameters to the Estimator class: model_uri, which points to pre-existing model artifacts in S3 or locally, and model_channel_name (default: 'model'). When both are set and a user calls Estimator.fit(), the estimator will create a new input channel under that name, pointing to the contents of model_uri and using SageMaker's recommended settings for model artifact consumption.

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.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

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

@codecov-io

codecov-io commented Oct 30, 2018

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Codecov Report

Merging #450 into master will decrease coverage by 0.07%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #450 +/- ##
==========================================
- Coverage 93.75% 93.67% -0.08% 
==========================================
Files 55 55 Lines 4034 4079 +45 ==========================================
+ Hits 3782 3821 +39 - Misses 252 258 +6
Impacted FilesCoverage Δ
src/sagemaker/__init__.py100% <100%> (ø)⬆️
src/sagemaker/amazon/amazon_estimator.py88.8% <100%> (+0.08%)⬆️
src/sagemaker/tensorflow/estimator.py93.57% <100%> (+0.04%)⬆️
src/sagemaker/mxnet/estimator.py100% <100%> (ø)⬆️
src/sagemaker/session.py89.51% <100%> (+0.05%)⬆️
src/sagemaker/chainer/estimator.py100% <100%> (ø)⬆️
src/sagemaker/pytorch/estimator.py100% <100%> (ø)⬆️
src/sagemaker/job.py96.11% <100%> (+1.11%)⬆️
src/sagemaker/estimator.py90.07% <100%> (+0.55%)⬆️
src/sagemaker/local/image.py88.92% <0%> (-1.9%)⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update a5595af...9d838ec. Read the comment docs.

@RodrigoAtAWSRodrigoAtAWS self-assigned this Oct 30, 2018
@RodrigoAtAWSRodrigoAtAWS changed the title Add incremental training model parameters to Estimator, and bump library version to 1.13.0Add model parameters to Estimator, and bump library version to 1.13.0Oct 30, 2018

@laurenyulaurenyu left a comment

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make sure @eslesar-aws has a chance at some point to look at the doc changes as well

Comment threadsrc/sagemaker/estimator.py Outdated
Valid values are defined in the Python logging module.
code_location (str): Name of the S3 bucket where custom code is uploaded (default: None).
If not specified, default bucket created by ``sagemaker.session.Session`` is used.
**kwargs: Additional kwargs passed to the ``EstimatorBase`` constructor.

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remove this line (it's already on l. 652)

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Will remove, thanks for pointing it out.

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Now I'm curious how I even got that line there. I'll do a second pass over the code changes.

Comment threadREADME.rst Outdated
Incremental Training
~~~~~~~~~~~~~~~~~~~~

Incremental training allows you to bring a pre-trained model into a SageMaker training job, to use as a starting point for a new model.

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nitpick: remove the comma in this sentence

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Will also remove.

laurenyu
laurenyu previously approved these changes Nov 1, 2018

@laurenyulaurenyu left a comment

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giving an approve with the assumption there will be a follow-up PR to fix the two small issues. (talked with @nadiaya offline.)

Removed unnecessary comma from sentence.
Removed duplicated line
@nadiaya
nadiaya merged commit 507f2cd into aws:masterNov 1, 2018
pdasamzn pushed a commit to pdasamzn/sagemaker-python-sdk that referenced this pull request Nov 1, 2018
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
metrizable pushed a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…aws#450)
* Add incremental training model parameters to Estimator, and bump library version to 1.13.0
* Update README.rst
Removed unnecessary comma from sentence.
* Update estimator.py
Removed duplicated line
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
…3.0 (aws#450)
* add spark image_uri_retriever support for framework_version 3.0
* changing framework_version to 2.4 in spark unit tests
* fix spark integration
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4 participants

@RodrigoAtAWS@codecov-io@laurenyu@nadiaya