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c45741a67b
* support latest xgboost version * Update test_classification.py * Update Exists problems when installing xgb1.6.1 in py3.6 * cleanup * xgboost version * remove time_budget_s in test * remove redundancy * stop support of python 3.6 Co-authored-by: zsk <shaokunzhang529@gmail.com> Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
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1.1 KiB
Installation
FLAML requires Python version >= 3.7. It can be installed from pip:
pip install flaml
or conda:
conda install flaml -c conda-forge
FLAML has a .NET implementation as well from ML.NET Model Builder in Visual Studio 2022.
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]