dae.pheno.utils package

Submodules

dae.pheno.utils.commons module

dae.pheno.utils.commons.remove_annoying_characters(text: str) → str[source]

dae.pheno.utils.lin_regress module

class dae.pheno.utils.lin_regress.LinearRegression(*args: Any, **kwargs: Any)[source]

Bases: LinearRegression

Class to build linear regression models.

fit(X: ndarray, y: Series | ndarray, sample_weight: float | None = None) → LinearRegression[source]

Fit linear model.

Parameters

X{array-like, sparse matrix} of shape (n_samples, n_features): Training data.
yarray-like of shape (n_samples,) or (n_samples, n_targets): Target values. Will be cast to X’s dtype if necessary.
sample_weightarray-like of shape (n_samples,), default=None: Individual weights for each sample.

New in version 0.17: parameter sample_weight support to LinearRegression.

Returns

selfobject: Fitted Estimator.

property pvalues: ndarray | None

property tvalues: ndarray | None

Module contents