Painless Machine Learning for python based on scikit-learn

Last update: Aug 06, 2022

Overview

PlainML

Painless Machine Learning Library for python based on scikit-learn.

Install

pip install plainml

Example

from plainml import KnnModel, load_iris, train_test_split

dt = load_iris()
data = dt.data
target = dt.target

x_train, x_test, y_train, y_test = train_test_split(data, target, test_size=0.2)

model = KnnModel(x_train, y_train)
model.fit()

print(model.score(x_test, y_test))
print(model.predict([[5.1, 3.5, 1.4, 0.2]]))

model.save(file_name='iris_knn.pkl')

License

MIT.

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Releases(0.1)

0.1(Jan 28, 2022)

Initial release
Source code(tar.gz)
Source code(zip)
plainml-0.1-py3-none-any.whl(2.91 KB)

Owner

C,C++, Python Developer. Creator of @hascal.

GitHub Repository

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Painless Machine Learning for python based on scikit-learn

Related tags

Overview

PlainML

Install

Example

License

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