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Update Orca install guide (#6268)

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* update install

* fix link

* minor
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Kai Huang 2022-10-24 18:49:12 +08:00 committed by GitHub
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docs/readthedocs/source/doc/Orca/Overview/install.md
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# Installation # Installation
We recommend using [conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/) to prepare the Python environment. Install conda and create an environment for BigDL Orca:
## To use basic Orca features
We recommend using [conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/) to prepare the Python environment.
```bash ```bash
conda create -n py37 python=3.7 # "py37" is conda environment name, you can use any name you like. conda create -n py37 python=3.7 # "py37" is conda environment name, you can use any name you like.
conda activate py37 conda activate py37
pip install bigdl-orca
``` ```
You can install bigdl-orca nightly build version using ## To use basic Orca features
You can install Orca in your created conda environment for distributed data processing, training and inference with the following command:
```bash ```bash
pip install --pre --upgrade bigdl-orca pip install bigdl-orca # For the official release version
```
or for the nightly build version, use:
```bash
pip install --pre --upgrade bigdl-orca # For the latest nightly build version
``` ```
## To additionally use RayOnSpark ## To additionally use RayOnSpark
@ -19,12 +22,12 @@ pip install --pre --upgrade bigdl-orca
If you wish to run [RayOnSpark](ray.md) or [sklearn-style Estimator APIs in Orca](distributed-training-inference.md) with "ray" backend, use the extra key `[ray]` during the installation above: If you wish to run [RayOnSpark](ray.md) or [sklearn-style Estimator APIs in Orca](distributed-training-inference.md) with "ray" backend, use the extra key `[ray]` during the installation above:
```bash ```bash
pip install bigdl-orca[ray] pip install bigdl-orca[ray] # For the official release version
``` ```
or for the nightly build version, use or for the nightly build version, use:
```bash ```bash
pip install --pre --upgrade bigdl-orca[ray] pip install --pre --upgrade bigdl-orca[ray] # For the latest nightly build version
``` ```
Note that with the extra key of [ray], `pip` will automatically install the additional dependencies for RayOnSpark, Note that with the extra key of [ray], `pip` will automatically install the additional dependencies for RayOnSpark,
@ -35,17 +38,17 @@ including `ray[default]==1.9.2`, `aiohttp==3.8.1`, `async-timeout==4.0.1`, `aior
If you wish to run AutoML, use the extra key `[automl]` during the installation above: If you wish to run AutoML, use the extra key `[automl]` during the installation above:
```bash ```bash
pip install bigdl-orca[automl] pip install bigdl-orca[automl] # For the official release version
```` ````
or for the nightly build version, use or for the nightly build version, use:
```bash ```bash
pip install --pre --upgrade bigdl-orca[automl] pip install --pre --upgrade bigdl-orca[automl] # For the latest nightly build version
``` ```
Note that with the extra key of [automl], `pip` will automatically install the additional dependencies for distributed hyper-parameter tuning, Note that with the extra key of [automl], `pip` will automatically install the additional dependencies for distributed hyper-parameter tuning,
including `ray[tune]==1.9.2`, `scikit-learn`, `tensorboard`, `xgboost` together with the dependencies given by the extra key [ray]. including `ray[tune]==1.9.2`, `scikit-learn`, `tensorboard`, `xgboost` together with the dependencies given by the extra key [ray].
- To use [Pytorch Estimator](#pytorch-autoestimator), you need to install Pytorch with `pip install torch==1.8.1`. - To use [Pytorch AutoEstimator](distributed-tuning.md#pytorch-autoestimator), you need to install Pytorch with `pip install torch==1.8.1`.
- To use [TensorFlow/Keras AutoEstimator](#tensorflow-keras-autoestimator), you need to install TensorFlow with `pip install tensorflow==1.15.0`. - To use [TensorFlow/Keras AutoEstimator](distributed-tuning.md#tensorflow-keras-autoestimator), you need to install TensorFlow with `pip install tensorflow==1.15.0`.