Spatial dependence¶
Parameteric Functions¶
Constant([domain, output_shape, coefficients])A function that return a constant value
Linear([domain, output_shape, coefficients])The linear function f(x) = c x
Polynomial([deg, polynom, domain, ...])The polynomial function
Fourier([order, freq, start_order, domain, ...])The Fourier series f(x) = c x
BSplinesFunction(domain[, k, bc_type, ...])A function that use a set of B-splines.
sklearnBSplines(domain[, k, bc_type, ...])A slower but more complete set of BSplines
sklearnTransformer(transformer, domain[, ...])Take any sklearn transformer and build a fonction from it f(x,c) = c*transform(x)
FiniteElement(domain, element[, ...])Build functions from finite elements basis
ModelOverlay(model, function_name[, ...])A class that allow to overlay a model and make it be used as a function.
Non Parametric Functions¶
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Wraps sklearn predictor as functions. |
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