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Linear models. This module is styled after scikit-learn's linear_model module: https://scikit-learn.org/stable/modules/linear_model.html .
Classes
LinearRegression
LinearRegression
(
fit_intercept
=
True
)
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.
fit_intercept
default True
Default True
. Whether to calculate the intercept for this model. If set to False, no intercept will be used in calculations (i.e. data is expected to be centered).
LogisticRegression
LogisticRegression
(
fit_intercept
:
bool
=
True
,
auto_class_weights
:
bool
=
False
)
Logistic Regression (aka logit, MaxEnt) classifier.
fit_intercept
default True
Default True. Specifies if a constant (a.k.a. bias or intercept) should be added to the decision function.
auto_class_weights
default False
Default False. If True, balance class labels using weights for each class in inverse proportion to the frequency of that class.
