skdownscale.pointwise_models.LinearTrendTransformer¶

class skdownscale.pointwise_models.LinearTrendTransformer(lr_kwargs=None)[source]¶

Transform features by removing linear trends.

Uses Ordinary least squares Linear Regression as implemented in sklear.linear_model.LinearRegression.

Parameters:: **lr_kwargs – Keyword arguments to pass to sklearn.linear_model.LinearRegression

lr_model_¶

Linear Regression object.

Methods

`__init__`([lr_kwargs])
`fit`(X[, y])	Compute the linear trend.
`fit_transform`(X[, y])	Fit to data, then transform it.
`get_metadata_routing`()	Get metadata routing of this object.
`get_params`([deep])	Get parameters for this estimator.
`inverse_transform`(X)	Add the trend back to the data.
`set_output`(*[, transform])	Set output container.
`set_params`(**params)	Set the parameters of this estimator.
`transform`(X)	Perform transformation by removing the trend.
`trendline`(X)	helper function to calculate a linear trendline

fit(X, y=None)[source]¶

Compute the linear trend.

Parameters:: X (array-like, shape [n_samples, n_features]) – Training data.

inverse_transform(X)[source]¶

Add the trend back to the data.

Parameters:: X (array-like, shape [n_samples, n_features]) – The data that should be transformed back.

transform(X)[source]¶

Perform transformation by removing the trend.

Parameters:: X (array-like, shape [n_samples, n_features]) – The data that should be detrended.