PyPI page
Author:
MarcoWV
Summary:
Unifying Academic Rigor and Industrial Scale for Responsible, Reproducible, and Efficient Recommendation
Latest version:
2.2.4
Required dependencies:
coolname
|
hyperopt
|
lightning
|
loguru
|
narwhals
|
numpy
|
optuna
|
pandas
|
polars
|
pydantic
|
ray
|
scikit-learn
|
scipy
|
tabulate
|
tensorboard
|
tensorboardx
|
torch
|
torchmetrics
|
types-pyyaml
|
types-tabulate
Optional dependencies:
azure-identity
|
azure-storage-blob
|
codecarbon
|
configspace
|
fastmcp
|
hpbandster
|
mlflow
|
ray
|
torch-geometric
|
wandb
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