fix: explicitly handle arguments in create_model for sklearn and xgboost #1535
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ajaykarpur
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Looks like sagemaker-python-sdk-pr is failing due to ResourceLimitExceeded errors on a couple tests. @ajaykarpur can you restart it? |
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* Base model trainer (#1521) * Base model trainer * flake8 * add testing notebook * add param validation & set defaults * Implement simple train method * feature: support script mode with local train.sh (#1523) * feature: support script mode with local train.sh * Stop tracking train.sh and add it to .gitignore * update message * make dir if not exist * fix docs * fix: docstyle * Address comments * fix hyperparams * Revert pydantic custom error * pylint * Image Spec refactoring and updates (#1525) * Image Spec refactoring and updates * Unit tests and update function for Image Spec * Fix hugging face test * Fix Tests * Add unit tests for ModelTrainer (#1527) * Add unit tests for ModelTrainer * Flake8 * format * Add example notebook (#1528) * Add testing notebook * format * use smaller data * remove large dataset * update * pylint * flake8 * ignore docstyle in directories with test * format * format * Add enviornment variable bootstrapping script (#1530) * Add enviornment variables scripts * format * fix comment * add docstrings * fix comment * feature: add utility function to capture local snapshot (#1524) * local snapshot * Update pip list command * Remove function calls * Address comments * Address comments * Change to make Model Trainer return a Model Object * Fix * Cleanup * Support intelligent parameters (#1540) * Support intelligent parameters * fix codestyle * Revert Image Spec (#1541) * Cleanup ModelTrainer (#1542) * General image builder (#1546) * General image builder * General image builder * Fix codestyle * Fix codestyle * Move location * Add warnings * Add integ tests * Fix integ test * Fix integ test * Fix region error * Add region * Latest Container Image (#1545) * Latest Container Image * Test Fixes * Parameterized tests and some logic updates * Test fixes * Move to Image URI * Fixes for unit test * Fixes for unit test * Fix codestyle error checks * Cleanup ModelTrainer code (#1552) * Updates * feat: add pre-processing and post-processing logic to inference_spec (#1560) * add pre-processing and post-processing logic to inference_spec * fix format * make accept_type and content_type optional * remove accept_type and content_type from pre/post processing * correct typo * Add Distributed Training Support Model Trainer (#1536) * Add path to set Additional Settings in ModelTrainer (#1555) * Updates * Mask Sensitive Env Logs in Container (#1568) * Cleanup PR * Codestyle fixes * Update logic to use model parameter instead of model_path * Fixes * Fixes * Tests * Codestyle Fixes * Codestyle Fixes * Codestyle Fixes * Codestyle Fixes --------- Co-authored-by: Erick Benitez-Ramos <[email protected]> Co-authored-by: pintaoz-aws <[email protected]> Co-authored-by: Pravali Uppugunduri <[email protected]>
pintaoz-aws
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Dec 4, 2024
* Base model trainer (#1521) * Base model trainer * flake8 * add testing notebook * add param validation & set defaults * Implement simple train method * feature: support script mode with local train.sh (#1523) * feature: support script mode with local train.sh * Stop tracking train.sh and add it to .gitignore * update message * make dir if not exist * fix docs * fix: docstyle * Address comments * fix hyperparams * Revert pydantic custom error * pylint * Image Spec refactoring and updates (#1525) * Image Spec refactoring and updates * Unit tests and update function for Image Spec * Fix hugging face test * Fix Tests * Add unit tests for ModelTrainer (#1527) * Add unit tests for ModelTrainer * Flake8 * format * Add example notebook (#1528) * Add testing notebook * format * use smaller data * remove large dataset * update * pylint * flake8 * ignore docstyle in directories with test * format * format * Add enviornment variable bootstrapping script (#1530) * Add enviornment variables scripts * format * fix comment * add docstrings * fix comment * feature: add utility function to capture local snapshot (#1524) * local snapshot * Update pip list command * Remove function calls * Address comments * Address comments * Change to make Model Trainer return a Model Object * Fix * Cleanup * Support intelligent parameters (#1540) * Support intelligent parameters * fix codestyle * Revert Image Spec (#1541) * Cleanup ModelTrainer (#1542) * General image builder (#1546) * General image builder * General image builder * Fix codestyle * Fix codestyle * Move location * Add warnings * Add integ tests * Fix integ test * Fix integ test * Fix region error * Add region * Latest Container Image (#1545) * Latest Container Image * Test Fixes * Parameterized tests and some logic updates * Test fixes * Move to Image URI * Fixes for unit test * Fixes for unit test * Fix codestyle error checks * Cleanup ModelTrainer code (#1552) * Updates * feat: add pre-processing and post-processing logic to inference_spec (#1560) * add pre-processing and post-processing logic to inference_spec * fix format * make accept_type and content_type optional * remove accept_type and content_type from pre/post processing * correct typo * Add Distributed Training Support Model Trainer (#1536) * Add path to set Additional Settings in ModelTrainer (#1555) * Updates * Mask Sensitive Env Logs in Container (#1568) * Cleanup PR * Codestyle fixes * Update logic to use model parameter instead of model_path * Fixes * Fixes * Tests * Codestyle Fixes * Codestyle Fixes * Codestyle Fixes * Codestyle Fixes --------- Co-authored-by: Erick Benitez-Ramos <[email protected]> Co-authored-by: pintaoz-aws <[email protected]> Co-authored-by: Pravali Uppugunduri <[email protected]>
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Issue #, if available:
N/A
Description of changes:
Add explicit handling for
entry_point,source_dir, anddependenciesarguments increate_modelfor SKLearn and XGBoost to match other framework estimators. Improve handling forimageargument as well.Testing done:
Unit tests updated to check for handling these arguments. Unit tests run with
tox tests/unit, all tests passing.Merge Checklist
Put an
xin 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
Tests
unique_name_from_baseto 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.