NumPy>=1.17.0rc1
lightgbm>=2.3.1
xgboost>=0.90
scipy>=1.4.1
pandas>=1.1.4
scikit-learn>=0.24

[azureml]
azureml-mlflow

[benchmark]
catboost>=0.26
psutil==5.8.0
xgboost==1.3.3

[blendsearch]
optuna==2.8.0

[catboost]
catboost>=0.26

[forecast]
holidays<0.14
prophet>=1.0.1
statsmodels>=0.12.2
hcrystalball==0.1.10
pytorch-forecasting>=0.9.0

[nlp]
transformers[torch]==4.18
datasets
nltk
rouge_score
seqeval

[nni]
nni

[notebook]
jupyter
matplotlib
openml==0.10.2

[openai]
openai==0.23.1
diskcache
optuna==2.8.0

[ray]
ray[tune]~=1.13

[spark]
pyspark>=3.0.0
joblibspark>=0.5.0

[test]
flake8>=3.8.4
thop
pytest>=6.1.1
coverage>=5.3
pre-commit
torch
torchvision
catboost>=0.26
rgf-python
optuna==2.8.0
openml==0.10.2
statsmodels>=0.12.2
psutil==5.8.0
dataclasses
transformers[torch]==4.18
datasets
nltk
rouge_score
hcrystalball==0.1.10
seqeval
pytorch-forecasting<=0.10.1,>=0.9.0
mlflow
pyspark>=3.0.0
joblibspark>=0.5.0
nbconvert
nbformat
ipykernel

[ts_forecast]
holidays<0.14
prophet>=1.0.1
statsmodels>=0.12.2
hcrystalball==0.1.10

[vw]
vowpalwabbit<9.0.0,>=8.10.0
