Resample

sofia_redux.toolkit.resampling.Resample

Attributes Summary

fit_tree	Return the fitting tree representative of points to fit.
order	Return the order of polynomial fit.

Methods Summary

__call__(*args[, smoothing, ...])	Resample data defined during initialization to new coordinates.
calculate_adaptive_smoothing(settings)	Calculate the adaptive distance weighting kernel.
calculate_minimum_points()	Return the minimum number of points for a polynomial fit.
check_order(order, n_features, n_samples)	Check the order is of correct format and enough samples exist.
pre_fit(settings, *args[, ...])	Perform pre-fitting steps and build the fitting tree.
process_block(args, block)	Run solve_fits() on each block.
reduction_settings([smoothing, ...])	Define a set of reduction instructions based on user input.
set_sample_tree(coordinates[, radius, ...])	Build the sample tree from input coordinates.

Attributes Documentation

Methods Documentation

alias of ResamplePolynomial