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Copy file name to clipboardexpand all lines: docs/user_guides/projects/python/python_env_overview.md
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@@ -35,11 +35,16 @@ The `FEATURE ENGINEERING` environments can be used in [Jupyter notebooks](../jup
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### Model training
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The `MODEL TRAINING` environments can be used in [Jupyter notebooks](../jupyter/python_notebook.md) or a [Python job](../jobs/python_job.md).
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The `MODEL TRAINING` environments can be used in [Jupyter notebooks](../jupyter/python_notebook.md) or a [Python job](../jobs/python_job.md) or in a [Ray job](../jobs/ray_job.md).
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*`tensorflow-training-pipeline` to train TensorFlow models
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*`torch-training-pipeline` to train PyTorch models
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*`pandas-training-pipeline` to train XGBoost, Catboost and Sklearn models
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*`ray_training_pipeline` a general purpose environment for distributed training using Ray framework to train
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XGBoost and Sklearn models. Should be used in [Ray job](../jobs/ray_job.md). It can be customized to install
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additional dependencies of your choice.
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*`ray_torch_training_pipeline` for distributed training of PyTorch models using Ray framework in a [Ray job](../jobs/ray_job.md)
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*`ray_tensorflow_training_pipeline` for distributed training of TensorFlow models using Ray framework in a [Ray job](../jobs/ray_job.md)
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