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@ -30,12 +30,12 @@ Supported Platforms: Linux and macOS. _**Note:** Windows is currently not supp
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#### **1.1 Official Release**
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You can install the latest release version of BigDL as follows:
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You can install the latest release version of BigDL (built on top of Spark 2.4.6 by default) as follows:
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```bash
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pip install bigdl
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```
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_**Note:** Installing BigDL will automatically install all the BigDL packages including
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`bigdl-nano`, `bigdl-orca`, `bigdl-chronos`, `bigdl-serving`, `bigdl-friesian` and their dependencies if they haven't been detected in your conda environment._
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`bigdl-nano`, `bigdl-dllib`, `bigdl-orca`, `bigdl-chronos`, `bigdl-friesian`, `bigdl-serving` and their dependencies if they haven't been detected in your conda environment._
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#### **1.2 Nightly Build**
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@ -48,7 +48,7 @@ pip install --pre --upgrade bigdl
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Alternatively, you can find the list of the nightly build versions [here](https://pypi.org/project/BigDL/#history), and install a specific version as follows:
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```bash
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pip install bigdl=version
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pip install bigdl==version
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```
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_**Note:** If you are using a custom URL of Python Package Index, you may need to check whether the latest packages have been sync'ed with pypi.
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@ -60,6 +60,16 @@ You could uninstall all the packages of BigDL as follows:
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pip uninstall bigdl-dllib bigdl-tf bigdl-math bigdl-orca bigdl-chronos bigdl-friesian bigdl-nano bigdl-serving bigdl
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```
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#### **1.3 BigDL on Spark 3**
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You can install BigDL built on top of Spark 3.1.2 as follows:
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```bash
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pip install bigdl-spark3 # Install the latest release version
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pip install --pre --upgrade bigdl-spark3 # Install the latest nightly build version
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```
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You can find the list of the nightly build versions built on top of Spark 3.1.2 [here](https://pypi.org/project/bigdl-spark3/#history).
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---
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### **2. Run**
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@ -108,7 +118,7 @@ For more details, please refer to [Orca Context](../Orca/Overview/orca-context.m
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BigDL has been tested on __Python 3.6 and 3.7__ with the following library versions:
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```bash
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pyspark==2.4.6
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pyspark==2.4.6 or 3.1.2
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ray==1.2.0
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tensorflow==1.15.0 or >2.0
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pytorch>=1.5.0
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