openteamsinc
pypi/flaml
Risk Profile
Package
Source
Risk Profile
Maturity:
Mature
Health:
Healthy
Legal:
Healthy
Security:
Healthy
Package
pypi
flaml
Version
2.4.1
Last Release Date
6 days ago
License
MIT
Dependencies
NumPy
>=1.17
automl:
lightgbm
>=2.3.1
xgboost
<3.0.0, >=0.90
scipy
>=1.4.1
pandas
>=1.1.4
scikit-learn
>=1.0.0
notebook:
jupyter
spark:
pyspark
>=3.2.0
joblibspark
>=0.5.0
joblib
<=1.3.2
test:
numpy
<2.0.0, >=1.17
numpy
>2.0.0
jupyter
lightgbm
>=2.3.1
xgboost
<2.0.0, >=0.90
xgboost
>=2.0.0
scipy
>=1.4.1
pandas
<2.0.0, >=1.1.4
pandas
>=1.1.4
scikit-learn
>=1.2.0
thop
pytest
>=6.1.1
pytest-rerunfailures
>=13.0
coverage
>=5.3
pre-commit
torch
torchvision
catboost
>=0.26
rgf-python
optuna
<=3.6.1, >=2.8.0
openml
statsmodels
>=0.12.2
psutil
dataclasses
transformers
[torch]
datasets
evaluate
nltk
!=3.8.2
rouge_score
hcrystalball
seqeval
pytorch-forecasting
mlflow-skinny
<=2.22.1
joblibspark
>=0.5.0
joblib
<=1.3.2
nbconvert
nbformat
ipykernel
pytorch-lightning
tensorboardX
requests
packaging
dill
catboost:
catboost
>=0.26
blendsearch:
optuna
<=3.6.1, >=2.8.0
packaging
ray:
ray
[tune]
<2.5.0, >=1.13
azureml:
azureml-mlflow
nni:
nni
vw:
vowpalwabbit
<9.0.0, >=8.10.0
scikit-learn
hf:
transformers
[torch]
>=4.26
datasets
nltk
<=3.8.1
rouge_score
seqeval
nlp:
transformers
[torch]
>=4.26
datasets
nltk
<=3.8.1
rouge_score
seqeval
ts-forecast:
holidays
prophet
>=1.1.5
statsmodels
>=0.12.2
hcrystalball
>=0.1.10
forecast:
holidays
prophet
>=1.1.5
statsmodels
>=0.12.2
hcrystalball
>=0.1.10
pytorch-forecasting
>=0.10.4
pytorch-lightning
>=1.9.0
tensorboardX
>=2.6
benchmark:
catboost
>=0.26
psutil
==5.8.0
xgboost
==1.3.3
pandas
==1.1.4
synapse:
joblibspark
>=0.5.0
optuna
<=3.6.1, >=2.8.0
pyspark
>=3.2.0
autozero:
scikit-learn
pandas
packaging
Source
Location
microsoft/FLAML
Last Source Update
6 days ago
Licenses
MIT License
Distribution Destinations
pypi/flaml
npm/website
