PyPI page
Home page
Author:
'Nikita Buts, Nikita Varganov, Alexander Izyurov, Ivan Plotnikov, Maidari Tsydenov, Evgeny Tkachenko, Ilya Ivanov'
Summary:
Framework for creating, running and validation of ML models on tabular data
Latest version:
3.6.3
Required dependencies:
ambrosia
|
autowoe
|
bayesian-optimization
|
bentoml
|
bertopic
|
bottleneck
|
catboost
|
colorama
|
deepchecks
|
etna
|
evaluate
|
fairlearn
|
fasttext-wheel
|
gensim
|
hydra-core
|
hyperopt
|
ipynbname
|
ipython
|
jinja2
|
joblib
|
kaleido
|
lightautoml
|
lightgbm
|
matplotlib
|
natasha
|
nlpaug
|
nltk
|
numba
|
numpy
|
omegaconf
|
openpyxl
|
optuna
|
pandas
|
peft
|
pip
|
prophet
|
py-boost
|
py4j
|
pydantic
|
pymultidictionary
|
pymystem3
|
pyspark
|
pytorch-lightning
|
pyyaml
|
reportlab
|
requests
|
ruslingua
|
sacremoses
|
scikit-learn
|
scikit-multilearn
|
scikit-optimize
|
scipy
|
seaborn
|
sentence-transformers
|
sentencepiece
|
shap
|
simhash
|
statsmodels
|
torch
|
tqdm
|
transformers
|
workalendar
|
xgboost
|
xlsxwriter
Optional dependencies:
black
|
notebook
|
pytest
Downloads last day:
7
Downloads last week:
55
Downloads last month:
62