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🔥aizoo🔥


Install

pip install aizoo -U

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Usages

OOF models

from aizoo.tab.models import TabNetClassifier
from sklearn.datasets import make_regression, make_classification
from sklearn.metrics import r2_score, roc_auc_score

X, y = make_classification(n_samples=10000)

TabNetClassifier().run(X, y, feval=roc_auc_score)

Hyperparameter optimization: search_space

from aizoo.tuner.optimizers import LGBOptimizer, F1Optimizer
from sklearn.datasets import make_regression, make_classification

X, y = make_classification(n_samples=1000)
opt = LGBOptimizer('search_space.yaml',  X, y)
best_params = opt.optimize(100)
opt.plot()

newplot


TODO


======= History

0.0.0 (2021-09-04)

  • First release on PyPI.

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