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TEST0e2ddbc88asklearn.linear_model._base.LinearRegression

TEST0e2ddbc88asklearn.linear_model._base.LinearRegression

Visibility: public Uploaded 18-10-2024 by Continuous Integration sklearn==1.4.2 numpy>=1.19.5 scipy>=1.6.0 joblib>=1.2.0 threadpoolctl>=2.0.0 0 runs
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  • openml-python python scikit-learn sklearn sklearn_1.4.2
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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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