Authors

@Aditta-das

kaggle-autolgb

kaggle autolgb is a combination of lightgbm and optuna. I tried to make kaggle monthly competition simple. Its only working with classification problem.

Installation

pip install kaggle-autolgb

Features

autotune
autotrain
auto submission file generate
auto prediction

Deployment

from autolgb import AutoLGB

model = AutoLGB(
    train_file = "trainning file path",
    test_file="testing file path",
    store_file= "store file path",
    storage_name = "store", # anything i.e: store/target/storage
    label="dataset label column name",
    num_folds=5, # num of num_folds
    direction="maximize", # maximize or minimize
    n_trials=2, # optuna trial
    gpu=False # gpu usage
)

best = model.train() # returns best params
model.predict(best)
model.submission_kaggle_format("kaggle submission file")

License

Apache 2.0

Metadata

Release files for kaggle-autolgb 0.0.6

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Total release size: 19.2 kB

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Size	11.2 kB
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Uploaded via	`twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10`

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0.0.6 This release

Dec 10, 2021 2 release files No provenance

kaggle-autolgb 0.0.6