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import numpy as np
from ..base import Base
class Random(Base):
"""
Class to randomly interpolate by picking values between maximum and
minimum measurements.
Note: Even if a point on the requested grid is present in
the training set, we return a random value for it.
"""
def __init__(self, resolution="standard", coordinate_type="Euclidean"):
super().__init__(resolution, coordinate_type)
def _fit(self, X, y):
"""Function for fitting random interpolation.
This function is not supposed to be called directly.
"""
self.ymax = max(y)
self.ymin = min(y)
return self
def _predict_grid(self, x1lim, x2lim):
"""Function for random grid interpolation.
This function is not supposed to be called directly.
"""
return np.random.uniform(
low=self.ymin,
high=self.ymax,
size=(self.resolution, self.resolution),
)
def _predict(self, X):
"""Function for random interpolation.
This function is not supposed to be called directly.
"""
return np.random.uniform(
low=self.ymin, high=self.ymax, size=(X.shape[0])
)
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