API reference¶

This page provides an auto-generated summary of skdownscale’s API. For more details and examples, refer to the relevant chapters in the main part of the documentation.

Pointwise methods¶

Xarray Wrappers¶

PointWiseDownscaler(model[, dim])

Pointwise downscaling model wrapper

Linear Models¶

`BcsdPrecipitation`([time_grouper, ...])	Classic BCSD model for Precipitation
`BcsdTemperature`([time_grouper, ...])	Methods
`PureAnalog`([n_analogs, kind, thresh, ...])	Parameters
`AnalogRegression`([n_analogs, thresh, ...])	Parameters
`PiecewiseLinearRegression`([n_segments, ...])	Piecewise Linear Regression
`QuantileMappingReressor`([extrapolate, ...])	Transform features using quantile mapping.
`TrendAwareQuantileMappingRegressor`([...])	Experimental meta estimator for performing trend-aware quantile mapping

Transformers¶

`LinearTrendTransformer`([lr_kwargs])	Transform features by removing linear trends.
`QuantileMapper`([detrend, lt_kwargs, qt_kwargs])	Transform features using quantile mapping.

Grouping¶

GroupedRegressor(estimator, fit_grouper, ...)

Grouped Regressor

Groupers¶

DAY_GROUPER(x)

MONTH_GROUPER(x)

PaddedDOYGrouper(df[, offset])

Methods