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A new documentation website. And: * add actions for doc * update docstr * installation instructions for doc dev * unify README and Getting Started * rename notebook * doc about best_model_for_estimator #340 * docstr for keep_search_state #340 * DNN Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu> Co-authored-by: Z.sk <shaokunzhang@psu.edu>
64 lines
1.1 KiB
Markdown
64 lines
1.1 KiB
Markdown
# Installation
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FLAML requires **Python version >= 3.6**. It can be installed from pip:
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```bash
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pip install flaml
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```
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or conda:
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```
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conda install flaml -c conda-forge
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```
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FLAML has a .NET implementation as well from [ML.NET Model Builder](https://dotnet.microsoft.com/apps/machinelearning-ai/ml-dotnet/model-builder) in [Visual Studio](https://visualstudio.microsoft.com/) 2022.
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## Optional Dependencies
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### Notebook
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To run the [notebook examples](https://github.com/microsoft/FLAML/tree/main/notebook),
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install flaml with the [notebook] option:
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```bash
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pip install flaml[notebook]
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```
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### Extra learners
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* catboost
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```bash
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pip install flaml[catboost]
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```
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* vowpal wabbit
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```bash
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pip install flaml[vw]
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```
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* time series forecaster: prophet, statsmodels
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```bash
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pip install flaml[forecast]
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```
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### Distributed tuning
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* ray
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```bash
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pip install flaml[ray]
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```
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* nni
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```bash
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pip install flaml[nni]
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```
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* blendsearch
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```bash
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pip install flaml[blendsearch]
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```
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### Test and Benchmark
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* test
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```bash
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pip install flaml[test]
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```
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* benchmark
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```bash
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pip install flaml[benchmark]
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```
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