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TESTd58feacf08sklearn.linear_model._base.LinearRegression

TESTd58feacf08sklearn.linear_model._base.LinearRegression

Visibility: public Uploaded 15-01-2024 by Continuous Integration sklearn==0.24.0 numpy>=1.13.3 scipy>=0.19.1 joblib>=0.11 threadpoolctl>=2.0.0 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.24.0
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Ordinary least squares Linear Regression. LinearRegression fits a linear model with coefficients w = (w1, ..., wp) to minimize the residual sum of squares between the observed targets in the dataset, and the targets predicted by the linear approximation.

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