trainme - documentation

Authors

@Aditta-das

kaggle-autolgb

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

Installation

pip install trainer

Features

autotune
autotrain
auto submission file generate
auto prediction

Deployment

from src.read_data import ReadFile

s = ReadFile(
	train_path="/home/aditta/Desktop/trainme/trainme/input/multi_class_classification.csv",
	test_path="/home/aditta/Desktop/trainme/trainme/input/multi_class_classification_test.csv",
	label="target",
    	task_type="multi_classification",
	compare=False,
	fold="skfold",
	model_name="xgb",
	output_path="/media/aditta/NewVolume/amazon",
	study_name="new_train",
	store_file ="out9",
	n_trials=1
)

print(s.report())
print(s.train())

License

Apache 2.0

Metadata

Release files for trainme 1.0

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Source distribution for trainme 1.0
File	Size	Uploaded	Provenance	Actions
trainme-1.0.tar.gz	10.6 kB	Mar 11, 2022	Without provenance	Details for trainme-1.0.tar.gz

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Table of built distributions (wheels) for trainme 1.0
File	Interpreter	ABI	Platform	Actions Reset
trainme-1.0-py3-none-any.whl 16.4 kB Mar 11, 2022 Without provenance	Python 3	none	any	Details for trainme-1.0-py3-none-any.whl

Total release size: 26.9 kB

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Download URL	trainme-1.0.tar.gz
Size	10.6 kB
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Download URL	trainme-1.0-py3-none-any.whl
Size	16.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`3e399f1506e412bdbcbf214cc3a3c53ca0efaf942d40e38110b5f9dfb7079c18`
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Upload date	Mar 11, 2022
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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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Mar 11, 2022 2 release files No provenance

trainme 1.0