autogen/website/docs/Installation.md

Installation

Python

FLAML requires Python version >= 3.7. It can be installed from pip:

pip install flaml

or conda:

conda install flaml -c conda-forge

Optional Dependencies

Notebook

To run the notebook examples, install flaml with the [notebook] option:

pip install flaml[notebook]

Extra learners

• catboost

pip install flaml[catboost]

• vowpal wabbit

pip install flaml[vw]

• time series forecaster: prophet, statsmodels

pip install flaml[forecast]

• natural language processing: transformers

pip install flaml[nlp]

Distributed tuning

• ray

pip install flaml[ray]

• nni

pip install flaml[nni]

• blendsearch

pip install flaml[blendsearch]

Test and Benchmark

• test

pip install flaml[test]

• benchmark

pip install flaml[benchmark]

.NET

FLAML has a .NET implementation in ML.NET, an open-source, cross-platform machine learning framework for .NET.

You can use FLAML in .NET in the following ways:

Low-code

• Model Builder - A Visual Studio extension for training ML models using FLAML. For more information on how to install the, see the install Model Builder guide.
• ML.NET CLI - A dotnet CLI tool for training machine learning models using FLAML on Windows, MacOS, and Linux. For more information on how to install the ML.NET CLI, see the install the ML.NET CLI guide.

Code-first

• Microsoft.ML.AutoML - NuGet package that provides direct access to the FLAML AutoML APIs that power low-code solutions like Model Builder and the ML.NET CLI. For more information on installing NuGet packages, see the install and use a NuGet package in Visual Studio or dotnet CLI guides.

To get started with the ML.NET API and AutoML, see the csharp-notebooks.