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Author:
Microsoft Corporation
Summary:
A fast library for automated machine learning and tuning
Latest version:
2.3.6
Required dependencies:
catboost
|
numpy
|
pandas
|
pytorch-forecasting
Optional dependencies:
azureml-mlflow
|
catboost
|
chromadb
|
coverage
|
dataclasses
|
datasets
|
dill
|
diskcache
|
hcrystalball
|
holidays
|
ipykernel
|
joblib
|
joblibspark
|
jupyter
|
lightgbm
|
mlflow
|
nbconvert
|
nbformat
|
nltk
|
nni
|
openai
|
openml
|
optuna
|
packaging
|
pandas
|
pre-commit
|
prophet
|
psutil
|
pydantic
|
pyspark
|
pytest
|
pytorch-lightning
|
ray
|
requests
|
rgf-python
|
rouge-score
|
scikit-learn
|
scipy
|
sentence-transformers
|
seqeval
|
statsmodels
|
sympy
|
tensorboardx
|
termcolor
|
thop
|
tiktoken
|
torch
|
torchvision
|
transformers
|
vowpalwabbit
|
wolframalpha
|
xgboost
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