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[HWORKS-1990] Add ray related images to the general env info doc page… #442

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7 changes: 6 additions & 1 deletion docs/user_guides/projects/python/python_env_overview.md
Original file line number Diff line number Diff line change
Expand Up @@ -35,11 +35,16 @@ The `FEATURE ENGINEERING` environments can be used in [Jupyter notebooks](../jup

### Model training

The `MODEL TRAINING` environments can be used in [Jupyter notebooks](../jupyter/python_notebook.md) or a [Python job](../jobs/python_job.md).
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).

* `tensorflow-training-pipeline` to train TensorFlow models
* `torch-training-pipeline` to train PyTorch models
* `pandas-training-pipeline` to train XGBoost, Catboost and Sklearn models
* `ray_training_pipeline` a general purpose environment for distributed training using Ray framework to train
XGBoost and Sklearn models. Should be used in [Ray job](../jobs/ray_job.md). It can be customized to install
additional dependencies of your choice.
* `ray_torch_training_pipeline` for distributed training of PyTorch models using Ray framework in a [Ray job](../jobs/ray_job.md)
* `ray_tensorflow_training_pipeline` for distributed training of TensorFlow models using Ray framework in a [Ray job](../jobs/ray_job.md)

### Model inference

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