Fixing timeouts for PCA async integration test. by lukmis · Pull Request #78 · aws/sagemaker-python-sdk

lukmis · 2018-02-15T18:09:53Z

Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

* Add data_type to hyperparameters (aws#54) When we describe a training job the data type of the hyper parameters is lost because we use a dict[str, str]. This adds a new field to Hyperparameter so that we can convert the datatypes at runtime. instead of validating with isinstance(), we cast the hp value to the type it is meant to be. This enforces a "strongly typed" value. When we deserialize from the API string responses it becomes easier to deal with too. * Add wrapper for LDA. (aws#56) Update CHANGELOG and bump the version number. * Add support for async fit() (aws#59) when calling fit(wait=False) it will return immediately. The training job will carry on even if the process exits. by using attach() the estimator can be retrieved by providing the training job name. _prepare_init_params_from_job_description() is now a classmethod instead of being a static method. Each class is responsible to implement their specific logic to convert a training job description into arguments that can be passed to its own __init__() * Fix Estimator role expansion (aws#68) Instead of manually constructing the role ARN, use the IAM boto client to do it. This properly expands service-roles and regular roles. * Add FM and LDA to the documentation. (aws#66) * Fix description of an argument of sagemaker.session.train (aws#69) * Fix description of an argument of sagemaker.session.train 'input_config' should be an array which has channel objects. * Add a link to the botocore docs * Use 'list' instead of 'array' in the description * Add ntm algorithm with doc, unit tests, integ tests (aws#73) * JSON serializer: predictor.predict accepts dictionaries (aws#62) Add support for serializing python dictionaries to json Add prediction with dictionary in tf iris integ test * Fixing timeouts for PCA async integration test. (aws#78) Execute tf_cifar test without logs to eliminate delay to detect that job has finished. * Fixes in LinearLearner and unit tests addition. (aws#77) * Print out billable seconds after training completes (aws#30) * Added: print out billable seconds after training completes * Fixed: test_session.py to pass unit tests * Fixed: removed offending tzlocal() * Use sagemaker_timestamp when creating endpoint names in integration tests. (aws#81) * Support TensorFlow-1.5.0 and MXNet-1.0.0 (aws#82) * Update .gitignore to ignore pytest_cache. * Support TensorFlow-1.5.0 and MXNet-1.0.0 * Update and refactor tests. Add tests for fw_utils. * Fix typo. * Update changelog for 1.1.0 (aws#85)

Updated: Minor messaging in several notebooks

Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis · 2018-02-15T18:09:53Z

Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

* Add data_type to hyperparameters (aws#54) When we describe a training job the data type of the hyper parameters is lost because we use a dict[str, str]. This adds a new field to Hyperparameter so that we can convert the datatypes at runtime. instead of validating with isinstance(), we cast the hp value to the type it is meant to be. This enforces a "strongly typed" value. When we deserialize from the API string responses it becomes easier to deal with too. * Add wrapper for LDA. (aws#56) Update CHANGELOG and bump the version number. * Add support for async fit() (aws#59) when calling fit(wait=False) it will return immediately. The training job will carry on even if the process exits. by using attach() the estimator can be retrieved by providing the training job name. _prepare_init_params_from_job_description() is now a classmethod instead of being a static method. Each class is responsible to implement their specific logic to convert a training job description into arguments that can be passed to its own __init__() * Fix Estimator role expansion (aws#68) Instead of manually constructing the role ARN, use the IAM boto client to do it. This properly expands service-roles and regular roles. * Add FM and LDA to the documentation. (aws#66) * Fix description of an argument of sagemaker.session.train (aws#69) * Fix description of an argument of sagemaker.session.train 'input_config' should be an array which has channel objects. * Add a link to the botocore docs * Use 'list' instead of 'array' in the description * Add ntm algorithm with doc, unit tests, integ tests (aws#73) * JSON serializer: predictor.predict accepts dictionaries (aws#62) Add support for serializing python dictionaries to json Add prediction with dictionary in tf iris integ test * Fixing timeouts for PCA async integration test. (aws#78) Execute tf_cifar test without logs to eliminate delay to detect that job has finished. * Fixes in LinearLearner and unit tests addition. (aws#77) * Print out billable seconds after training completes (aws#30) * Added: print out billable seconds after training completes * Fixed: test_session.py to pass unit tests * Fixed: removed offending tzlocal() * Use sagemaker_timestamp when creating endpoint names in integration tests. (aws#81) * Support TensorFlow-1.5.0 and MXNet-1.0.0 (aws#82) * Update .gitignore to ignore pytest_cache. * Support TensorFlow-1.5.0 and MXNet-1.0.0 * Update and refactor tests. Add tests for fw_utils. * Fix typo. * Update changelog for 1.1.0 (aws#85)

Updated: Minor messaging in several notebooks

Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis · 2018-02-15T18:09:53Z

Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

* Add data_type to hyperparameters (aws#54) When we describe a training job the data type of the hyper parameters is lost because we use a dict[str, str]. This adds a new field to Hyperparameter so that we can convert the datatypes at runtime. instead of validating with isinstance(), we cast the hp value to the type it is meant to be. This enforces a "strongly typed" value. When we deserialize from the API string responses it becomes easier to deal with too. * Add wrapper for LDA. (aws#56) Update CHANGELOG and bump the version number. * Add support for async fit() (aws#59) when calling fit(wait=False) it will return immediately. The training job will carry on even if the process exits. by using attach() the estimator can be retrieved by providing the training job name. _prepare_init_params_from_job_description() is now a classmethod instead of being a static method. Each class is responsible to implement their specific logic to convert a training job description into arguments that can be passed to its own __init__() * Fix Estimator role expansion (aws#68) Instead of manually constructing the role ARN, use the IAM boto client to do it. This properly expands service-roles and regular roles. * Add FM and LDA to the documentation. (aws#66) * Fix description of an argument of sagemaker.session.train (aws#69) * Fix description of an argument of sagemaker.session.train 'input_config' should be an array which has channel objects. * Add a link to the botocore docs * Use 'list' instead of 'array' in the description * Add ntm algorithm with doc, unit tests, integ tests (aws#73) * JSON serializer: predictor.predict accepts dictionaries (aws#62) Add support for serializing python dictionaries to json Add prediction with dictionary in tf iris integ test * Fixing timeouts for PCA async integration test. (aws#78) Execute tf_cifar test without logs to eliminate delay to detect that job has finished. * Fixes in LinearLearner and unit tests addition. (aws#77) * Print out billable seconds after training completes (aws#30) * Added: print out billable seconds after training completes * Fixed: test_session.py to pass unit tests * Fixed: removed offending tzlocal() * Use sagemaker_timestamp when creating endpoint names in integration tests. (aws#81) * Support TensorFlow-1.5.0 and MXNet-1.0.0 (aws#82) * Update .gitignore to ignore pytest_cache. * Support TensorFlow-1.5.0 and MXNet-1.0.0 * Update and refactor tests. Add tests for fw_utils. * Fix typo. * Update changelog for 1.1.0 (aws#85)

Updated: Minor messaging in several notebooks

Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis · 2018-02-15T18:09:53Z

Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

* Add data_type to hyperparameters (aws#54) When we describe a training job the data type of the hyper parameters is lost because we use a dict[str, str]. This adds a new field to Hyperparameter so that we can convert the datatypes at runtime. instead of validating with isinstance(), we cast the hp value to the type it is meant to be. This enforces a "strongly typed" value. When we deserialize from the API string responses it becomes easier to deal with too. * Add wrapper for LDA. (aws#56) Update CHANGELOG and bump the version number. * Add support for async fit() (aws#59) when calling fit(wait=False) it will return immediately. The training job will carry on even if the process exits. by using attach() the estimator can be retrieved by providing the training job name. _prepare_init_params_from_job_description() is now a classmethod instead of being a static method. Each class is responsible to implement their specific logic to convert a training job description into arguments that can be passed to its own __init__() * Fix Estimator role expansion (aws#68) Instead of manually constructing the role ARN, use the IAM boto client to do it. This properly expands service-roles and regular roles. * Add FM and LDA to the documentation. (aws#66) * Fix description of an argument of sagemaker.session.train (aws#69) * Fix description of an argument of sagemaker.session.train 'input_config' should be an array which has channel objects. * Add a link to the botocore docs * Use 'list' instead of 'array' in the description * Add ntm algorithm with doc, unit tests, integ tests (aws#73) * JSON serializer: predictor.predict accepts dictionaries (aws#62) Add support for serializing python dictionaries to json Add prediction with dictionary in tf iris integ test * Fixing timeouts for PCA async integration test. (aws#78) Execute tf_cifar test without logs to eliminate delay to detect that job has finished. * Fixes in LinearLearner and unit tests addition. (aws#77) * Print out billable seconds after training completes (aws#30) * Added: print out billable seconds after training completes * Fixed: test_session.py to pass unit tests * Fixed: removed offending tzlocal() * Use sagemaker_timestamp when creating endpoint names in integration tests. (aws#81) * Support TensorFlow-1.5.0 and MXNet-1.0.0 (aws#82) * Update .gitignore to ignore pytest_cache. * Support TensorFlow-1.5.0 and MXNet-1.0.0 * Update and refactor tests. Add tests for fw_utils. * Fix typo. * Update changelog for 1.1.0 (aws#85)

Updated: Minor messaging in several notebooks

Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis · 2018-02-15T18:09:53Z

Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

* Add data_type to hyperparameters (aws#54) When we describe a training job the data type of the hyper parameters is lost because we use a dict[str, str]. This adds a new field to Hyperparameter so that we can convert the datatypes at runtime. instead of validating with isinstance(), we cast the hp value to the type it is meant to be. This enforces a "strongly typed" value. When we deserialize from the API string responses it becomes easier to deal with too. * Add wrapper for LDA. (aws#56) Update CHANGELOG and bump the version number. * Add support for async fit() (aws#59) when calling fit(wait=False) it will return immediately. The training job will carry on even if the process exits. by using attach() the estimator can be retrieved by providing the training job name. _prepare_init_params_from_job_description() is now a classmethod instead of being a static method. Each class is responsible to implement their specific logic to convert a training job description into arguments that can be passed to its own __init__() * Fix Estimator role expansion (aws#68) Instead of manually constructing the role ARN, use the IAM boto client to do it. This properly expands service-roles and regular roles. * Add FM and LDA to the documentation. (aws#66) * Fix description of an argument of sagemaker.session.train (aws#69) * Fix description of an argument of sagemaker.session.train 'input_config' should be an array which has channel objects. * Add a link to the botocore docs * Use 'list' instead of 'array' in the description * Add ntm algorithm with doc, unit tests, integ tests (aws#73) * JSON serializer: predictor.predict accepts dictionaries (aws#62) Add support for serializing python dictionaries to json Add prediction with dictionary in tf iris integ test * Fixing timeouts for PCA async integration test. (aws#78) Execute tf_cifar test without logs to eliminate delay to detect that job has finished. * Fixes in LinearLearner and unit tests addition. (aws#77) * Print out billable seconds after training completes (aws#30) * Added: print out billable seconds after training completes * Fixed: test_session.py to pass unit tests * Fixed: removed offending tzlocal() * Use sagemaker_timestamp when creating endpoint names in integration tests. (aws#81) * Support TensorFlow-1.5.0 and MXNet-1.0.0 (aws#82) * Update .gitignore to ignore pytest_cache. * Support TensorFlow-1.5.0 and MXNet-1.0.0 * Update and refactor tests. Add tests for fw_utils. * Fix typo. * Update changelog for 1.1.0 (aws#85)

Updated: Minor messaging in several notebooks

Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis · 2018-02-15T18:09:53Z

Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

* Add data_type to hyperparameters (aws#54) When we describe a training job the data type of the hyper parameters is lost because we use a dict[str, str]. This adds a new field to Hyperparameter so that we can convert the datatypes at runtime. instead of validating with isinstance(), we cast the hp value to the type it is meant to be. This enforces a "strongly typed" value. When we deserialize from the API string responses it becomes easier to deal with too. * Add wrapper for LDA. (aws#56) Update CHANGELOG and bump the version number. * Add support for async fit() (aws#59) when calling fit(wait=False) it will return immediately. The training job will carry on even if the process exits. by using attach() the estimator can be retrieved by providing the training job name. _prepare_init_params_from_job_description() is now a classmethod instead of being a static method. Each class is responsible to implement their specific logic to convert a training job description into arguments that can be passed to its own __init__() * Fix Estimator role expansion (aws#68) Instead of manually constructing the role ARN, use the IAM boto client to do it. This properly expands service-roles and regular roles. * Add FM and LDA to the documentation. (aws#66) * Fix description of an argument of sagemaker.session.train (aws#69) * Fix description of an argument of sagemaker.session.train 'input_config' should be an array which has channel objects. * Add a link to the botocore docs * Use 'list' instead of 'array' in the description * Add ntm algorithm with doc, unit tests, integ tests (aws#73) * JSON serializer: predictor.predict accepts dictionaries (aws#62) Add support for serializing python dictionaries to json Add prediction with dictionary in tf iris integ test * Fixing timeouts for PCA async integration test. (aws#78) Execute tf_cifar test without logs to eliminate delay to detect that job has finished. * Fixes in LinearLearner and unit tests addition. (aws#77) * Print out billable seconds after training completes (aws#30) * Added: print out billable seconds after training completes * Fixed: test_session.py to pass unit tests * Fixed: removed offending tzlocal() * Use sagemaker_timestamp when creating endpoint names in integration tests. (aws#81) * Support TensorFlow-1.5.0 and MXNet-1.0.0 (aws#82) * Update .gitignore to ignore pytest_cache. * Support TensorFlow-1.5.0 and MXNet-1.0.0 * Update and refactor tests. Add tests for fw_utils. * Fix typo. * Update changelog for 1.1.0 (aws#85)

Updated: Minor messaging in several notebooks

Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis · 2018-02-15T18:09:53Z

Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

* Add data_type to hyperparameters (aws#54) When we describe a training job the data type of the hyper parameters is lost because we use a dict[str, str]. This adds a new field to Hyperparameter so that we can convert the datatypes at runtime. instead of validating with isinstance(), we cast the hp value to the type it is meant to be. This enforces a "strongly typed" value. When we deserialize from the API string responses it becomes easier to deal with too. * Add wrapper for LDA. (aws#56) Update CHANGELOG and bump the version number. * Add support for async fit() (aws#59) when calling fit(wait=False) it will return immediately. The training job will carry on even if the process exits. by using attach() the estimator can be retrieved by providing the training job name. _prepare_init_params_from_job_description() is now a classmethod instead of being a static method. Each class is responsible to implement their specific logic to convert a training job description into arguments that can be passed to its own __init__() * Fix Estimator role expansion (aws#68) Instead of manually constructing the role ARN, use the IAM boto client to do it. This properly expands service-roles and regular roles. * Add FM and LDA to the documentation. (aws#66) * Fix description of an argument of sagemaker.session.train (aws#69) * Fix description of an argument of sagemaker.session.train 'input_config' should be an array which has channel objects. * Add a link to the botocore docs * Use 'list' instead of 'array' in the description * Add ntm algorithm with doc, unit tests, integ tests (aws#73) * JSON serializer: predictor.predict accepts dictionaries (aws#62) Add support for serializing python dictionaries to json Add prediction with dictionary in tf iris integ test * Fixing timeouts for PCA async integration test. (aws#78) Execute tf_cifar test without logs to eliminate delay to detect that job has finished. * Fixes in LinearLearner and unit tests addition. (aws#77) * Print out billable seconds after training completes (aws#30) * Added: print out billable seconds after training completes * Fixed: test_session.py to pass unit tests * Fixed: removed offending tzlocal() * Use sagemaker_timestamp when creating endpoint names in integration tests. (aws#81) * Support TensorFlow-1.5.0 and MXNet-1.0.0 (aws#82) * Update .gitignore to ignore pytest_cache. * Support TensorFlow-1.5.0 and MXNet-1.0.0 * Update and refactor tests. Add tests for fw_utils. * Fix typo. * Update changelog for 1.1.0 (aws#85)

Updated: Minor messaging in several notebooks

Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis · 2018-02-15T18:09:53Z

Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

* Add data_type to hyperparameters (aws#54) When we describe a training job the data type of the hyper parameters is lost because we use a dict[str, str]. This adds a new field to Hyperparameter so that we can convert the datatypes at runtime. instead of validating with isinstance(), we cast the hp value to the type it is meant to be. This enforces a "strongly typed" value. When we deserialize from the API string responses it becomes easier to deal with too. * Add wrapper for LDA. (aws#56) Update CHANGELOG and bump the version number. * Add support for async fit() (aws#59) when calling fit(wait=False) it will return immediately. The training job will carry on even if the process exits. by using attach() the estimator can be retrieved by providing the training job name. _prepare_init_params_from_job_description() is now a classmethod instead of being a static method. Each class is responsible to implement their specific logic to convert a training job description into arguments that can be passed to its own __init__() * Fix Estimator role expansion (aws#68) Instead of manually constructing the role ARN, use the IAM boto client to do it. This properly expands service-roles and regular roles. * Add FM and LDA to the documentation. (aws#66) * Fix description of an argument of sagemaker.session.train (aws#69) * Fix description of an argument of sagemaker.session.train 'input_config' should be an array which has channel objects. * Add a link to the botocore docs * Use 'list' instead of 'array' in the description * Add ntm algorithm with doc, unit tests, integ tests (aws#73) * JSON serializer: predictor.predict accepts dictionaries (aws#62) Add support for serializing python dictionaries to json Add prediction with dictionary in tf iris integ test * Fixing timeouts for PCA async integration test. (aws#78) Execute tf_cifar test without logs to eliminate delay to detect that job has finished. * Fixes in LinearLearner and unit tests addition. (aws#77) * Print out billable seconds after training completes (aws#30) * Added: print out billable seconds after training completes * Fixed: test_session.py to pass unit tests * Fixed: removed offending tzlocal() * Use sagemaker_timestamp when creating endpoint names in integration tests. (aws#81) * Support TensorFlow-1.5.0 and MXNet-1.0.0 (aws#82) * Update .gitignore to ignore pytest_cache. * Support TensorFlow-1.5.0 and MXNet-1.0.0 * Update and refactor tests. Add tests for fw_utils. * Fix typo. * Update changelog for 1.1.0 (aws#85)

Updated: Minor messaging in several notebooks

Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

Fixing timeouts for PCA async integration test.
0a02cde
Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis requested a review from iquintero February 15, 2018 18:09

iquintero approved these changes Feb 16, 2018
View reviewed changes

Merge branch 'master' into fix_async_tests
e6109d7

lukmis merged commit 284c712 into aws:masterFeb 16, 2018

laurenyu pushed a commit to laurenyu/sagemaker-python-sdk that referenced this pull request Aug 6, 2018
Print secondary status with status message (aws#78)
bee8cb8

apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
Merge pull requestaws#78from awslabs/arpin_ensemble_updates
a75ab19
Updated: Minor messaging in several notebooks

Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Fixing timeouts for PCA async integration test. (aws#78)
2f7ba5a
Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

Fixing timeouts for PCA async integration test.
0a02cde
Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis requested a review from iquintero February 15, 2018 18:09

iquintero approved these changes Feb 16, 2018
View reviewed changes

Merge branch 'master' into fix_async_tests
e6109d7

lukmis merged commit 284c712 into aws:masterFeb 16, 2018

laurenyu pushed a commit to laurenyu/sagemaker-python-sdk that referenced this pull request Aug 6, 2018
Print secondary status with status message (aws#78)
bee8cb8

apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
Merge pull requestaws#78from awslabs/arpin_ensemble_updates
a75ab19
Updated: Minor messaging in several notebooks

Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Fixing timeouts for PCA async integration test. (aws#78)
2f7ba5a
Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

Fixing timeouts for PCA async integration test.
0a02cde
Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis requested a review from iquintero February 15, 2018 18:09

iquintero approved these changes Feb 16, 2018
View reviewed changes

Merge branch 'master' into fix_async_tests
e6109d7

lukmis merged commit 284c712 into aws:masterFeb 16, 2018

laurenyu pushed a commit to laurenyu/sagemaker-python-sdk that referenced this pull request Aug 6, 2018
Print secondary status with status message (aws#78)
bee8cb8

apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
Merge pull requestaws#78from awslabs/arpin_ensemble_updates
a75ab19
Updated: Minor messaging in several notebooks

Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Fixing timeouts for PCA async integration test. (aws#78)
2f7ba5a
Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

Fixing timeouts for PCA async integration test.
0a02cde
Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis requested a review from iquintero February 15, 2018 18:09

iquintero approved these changes Feb 16, 2018
View reviewed changes

Merge branch 'master' into fix_async_tests
e6109d7

lukmis merged commit 284c712 into aws:masterFeb 16, 2018

laurenyu pushed a commit to laurenyu/sagemaker-python-sdk that referenced this pull request Aug 6, 2018
Print secondary status with status message (aws#78)
bee8cb8

apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
Merge pull requestaws#78from awslabs/arpin_ensemble_updates
a75ab19
Updated: Minor messaging in several notebooks

Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Fixing timeouts for PCA async integration test. (aws#78)
2f7ba5a
Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

Fixing timeouts for PCA async integration test.
0a02cde
Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis requested a review from iquintero February 15, 2018 18:09

iquintero approved these changes Feb 16, 2018
View reviewed changes

Merge branch 'master' into fix_async_tests
e6109d7

lukmis merged commit 284c712 into aws:masterFeb 16, 2018

laurenyu pushed a commit to laurenyu/sagemaker-python-sdk that referenced this pull request Aug 6, 2018
Print secondary status with status message (aws#78)
bee8cb8

apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
Merge pull requestaws#78from awslabs/arpin_ensemble_updates
a75ab19
Updated: Minor messaging in several notebooks

Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Fixing timeouts for PCA async integration test. (aws#78)
2f7ba5a
Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

Fixing timeouts for PCA async integration test.
0a02cde
Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis requested a review from iquintero February 15, 2018 18:09

iquintero approved these changes Feb 16, 2018
View reviewed changes

Merge branch 'master' into fix_async_tests
e6109d7

lukmis merged commit 284c712 into aws:masterFeb 16, 2018

laurenyu pushed a commit to laurenyu/sagemaker-python-sdk that referenced this pull request Aug 6, 2018
Print secondary status with status message (aws#78)
bee8cb8

apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
Merge pull requestaws#78from awslabs/arpin_ensemble_updates
a75ab19
Updated: Minor messaging in several notebooks

Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Fixing timeouts for PCA async integration test. (aws#78)
2f7ba5a
Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

Fixing timeouts for PCA async integration test.
0a02cde
Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis requested a review from iquintero February 15, 2018 18:09

iquintero approved these changes Feb 16, 2018
View reviewed changes

Merge branch 'master' into fix_async_tests
e6109d7

lukmis merged commit 284c712 into aws:masterFeb 16, 2018

laurenyu pushed a commit to laurenyu/sagemaker-python-sdk that referenced this pull request Aug 6, 2018
Print secondary status with status message (aws#78)
bee8cb8

apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
Merge pull requestaws#78from awslabs/arpin_ensemble_updates
a75ab19
Updated: Minor messaging in several notebooks

Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Fixing timeouts for PCA async integration test. (aws#78)
2f7ba5a
Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

Fixing timeouts for PCA async integration test.
0a02cde
Opting to execute tf_cifar test without logs to eliminate delay to detect that job has finished.

lukmis requested a review from iquintero February 15, 2018 18:09

iquintero approved these changes Feb 16, 2018
View reviewed changes

Merge branch 'master' into fix_async_tests
e6109d7

lukmis merged commit 284c712 into aws:masterFeb 16, 2018

laurenyu pushed a commit to laurenyu/sagemaker-python-sdk that referenced this pull request Aug 6, 2018
Print secondary status with status message (aws#78)
bee8cb8

apacker pushed a commit to apacker/sagemaker-python-sdk that referenced this pull request Nov 15, 2018
Merge pull requestaws#78from awslabs/arpin_ensemble_updates
a75ab19
Updated: Minor messaging in several notebooks

Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Fixing timeouts for PCA async integration test. (aws#78)
2f7ba5a
Execute tf_cifar test without logs to eliminate delay to detect that job has finished.

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lukmis commented Feb 15, 2018

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lukmis commented Feb 15, 2018

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