def _fit_small_texture20_8(self, images, y, estimator, radius, points, alpha):
start_time = time.time()
print("TEXTURE %d %d" % (radius, points))
ds = self.ip.getTextureFeature(images, radius, points)
self.texture_20_8 = RidgeClassifier(ds, y, alpha=alpha)
self.texture_20_8.fit()
print("COMPLETE TEXTURE %d %d --- %s seconds ---" % (radius, points, time.time() - start_time))
