def _split_windows(self, y):
window_length = check_window_length(self.window_length)
fh = check_fh(self.fh)
check_fh_is_relative(fh)
end = self._get_end(y) - 1
start = 0 if window_length is None else end - window_length
training_window = np.arange(start, end)
test_window = end + fh - 1
yield training_window, test_window
def _split_windows(self, y):
step_length = check_step_length(self.step_length)
window_length = check_window_length(self.window_length)
fh = check_fh(self.fh)
check_fh_is_relative(fh)
end = self._get_end(y)
start = self._get_start()
for split_point in range(start, end, step_length):
training_window = np.arange(split_point - window_length,
split_point)
test_window = split_point + fh - 1
yield training_window, test_window
def _split_windows(self, y):
# cutoffs
cutoffs = check_cutoffs(self.cutoffs)
if not np.max(cutoffs) < len(y):
raise ValueError("`cutoffs` are out-of-bounds for given `y`.")
fh = check_fh(self.fh)
check_fh_is_relative(fh)
if np.max(cutoffs) + np.max(fh) > len(y):
raise ValueError(
"`fh` is out-of-bounds for given `cutoffs` and `y`.")
window_length = check_window_length(self.window_length)
for cutoff in cutoffs:
training_window = np.arange(cutoff - window_length, cutoff) + 1
test_window = cutoff + fh
yield training_window, test_window