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Author:
Terrene Foundation
Summary:
Machine learning lifecycle for the Kailash ecosystem
Latest version:
2.2.2
Required dependencies:
aiosqlite
|
httpx
|
kailash
|
kailash-dataflow
|
kailash-nexus
|
lightgbm
|
numba
|
numpy
|
onnxmltools
|
onnxruntime
|
plotly
|
polars
|
pyarrow
|
pytorch-lightning
|
pyyaml
|
scikit-learn
|
scipy
|
skl2onnx
|
torch
|
umap-learn
|
xgboost
Optional dependencies:
catboost
|
d3rlpy
|
datasets
|
envpool
|
grpcio
|
gymnasium
|
hypothesis
|
imbalanced-learn
|
kailash-align
|
kailash-kaizen
|
mypy
|
onnxruntime
|
onnxruntime-gpu
|
optuna
|
pandas
|
plotly
|
pytest
|
pytest-asyncio
|
pytest-timeout
|
pytorch-lightning
|
pyyaml
|
ragas
|
ray
|
redis
|
ruff
|
sb3-contrib
|
scikit-optimize
|
shap
|
stable-baselines3
|
starlette
|
statsmodels
|
timm
|
torch
|
torchaudio
|
torchvision
|
transformers
|
trulens-eval
|
uvicorn
|
xgboost
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