skdownscale.pointwise_models.LinearTrendTransformer

class skdownscale.pointwise_models.LinearTrendTransformer(lr_kwargs=None)

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

Attributes

lr_model_sklearn.linear_model.LinearRegression

Linear Regression object.

Methods

fit(X[, y])	Compute the linear trend.
fit_transform(X[, y])	Fit to data, then transform it.
get_params([deep])	Get parameters for this estimator.
inverse_transform(X)	Add the trend back to the data.
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

__init__(lr_kwargs=None)

Methods

__init__([lr_kwargs])
fit(X[, y])	Compute the linear trend.
fit_transform(X[, y])	Fit to data, then transform it.
get_params([deep])	Get parameters for this estimator.
inverse_transform(X)	Add the trend back to the data.
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