`VolterraBasis.basis`.SmoothIndicatorFeatures¶

class VolterraBasis.basis.SmoothIndicatorFeatures(states_boundary, boundary_type='tricube', periodic=False)[source]¶

Indicator function with smooth boundary

Parameters:

states_boundarylist: Number of knots to use
boundary_typestr or callable: Function to use for the interpolation between zeros and one value If this is a callabe function, first argument is between 0-> 1 and 1 -> 0 and second one is the order of the derivative
periodic: bool: Whatever to use periodic indicator function. If yes, the last indicator will sbe the same function than the first one

__init__(states_boundary, boundary_type='tricube', periodic=False)[source]¶

Parameters:

states_boundarylist: Number of knots to use
boundary_typestr or callable: Function to use for the interpolation between zeros and one value If this is a callabe function, first argument is between 0-> 1 and 1 -> 0 and second one is the order of the derivative
periodic: bool: Whatever to use periodic indicator function. If yes, the last indicator will sbe the same function than the first one

fit_transform(X, y=None, **fit_params)¶

Fit to data, then transform it.

Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X.

Parameters:

Xarray-like of shape (n_samples, n_features): Input samples.
yarray-like of shape (n_samples,) or (n_samples, n_outputs), default=None: Target values (None for unsupervised transformations).
**fit_paramsdict: Additional fit parameters.

Returns: