def _fit(self, t, y, dy, filts):
import numpy as np
mask = filts == self.band
self.t, self.y, self.dy, self.filts = (t[mask], y[mask], dy[mask], filts[mask])
self.unique_filts_ = np.unique(self.filts)
return SuperSmootherMultiband._fit(self, self.t, self.y, self.dy, self.filts)
def _fit(self, t, y, dy, filts):
import numpy as np
mask = (filts == self.band)
self.t, self.y, self.dy, self.filts = (t[mask], y[mask], dy[mask],
filts[mask])
self.unique_filts_ = np.unique(self.filts)
return SuperSmootherMultiband._fit(self, self.t, self.y, self.dy,
self.filts)
def __init__(self, optimizer=None, band='g'):
self.band = band
SuperSmootherMultiband.__init__(self, optimizer)
def __init__(self, optimizer=None, band="g"):
self.band = band
SuperSmootherMultiband.__init__(self, optimizer)
