NeighborsRegressor

Module for generic NeighborsRegressor.

NeighborsRegressor	A generic superclass for wrappers of *NeighborsRegressor from sklearn.
NeighborsRegressor.fit	Construct the interpolator given points and values.
NeighborsRegressor.predict	Evaluate interpolator at given new_points.

class NeighborsRegressor

Bases: Approximation

A generic superclass for wrappers of *NeighborsRegressor from sklearn.

Parameters:

kwargs – arguments passed to the internal instance of *NeighborsRegressor.

_abc_impl = <_abc._abc_data object>

fit(points, values)

Construct the interpolator given points and values.

Parameters:

• points (array_like) – the coordinates of the points.

• values (array_like) – the values in the points.

predict(new_point)

Evaluate interpolator at given new_points.

Parameters:

new_points (array_like) – the coordinates of the given points.

Returns:

the interpolated values.

Return type:

numpy.ndarray