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Speed up #3

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Speed up #3

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6 changes: 3 additions & 3 deletions src/relplot/kernels.py
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Original file line number Diff line number Diff line change
Expand Up @@ -108,7 +108,7 @@ def kernel_ev(self, num_eval_points : int):

def convolve(self, values, eval_points):
ker = self.kernel_ev(eval_points)
return np.convolve(values, ker, 'same')
return sp.signal.convolve(values, ker, 'same')

def apply(self, f, y, x_eval, eval_points = None):
if eval_points is None:
Expand All @@ -128,7 +128,7 @@ class ReflectedGaussianKernel(GaussianKernel):
def convolve(self, values, eval_points):
ker = self.kernel_ev(eval_points)
ext_vals = np.concatenate([np.flip(values)[:-1], values, np.flip(values)[1:]])
return np.convolve(ext_vals, ker, "valid")[eval_points//2 : eval_points//2 + eval_points]
return sp.signal.convolve(ext_vals, ker, "valid")[eval_points//2 : eval_points//2 + eval_points]

class TruncatedGaussianKernel(BaseKernelMixin):
def __init__(self, sigma):
Expand All @@ -143,7 +143,7 @@ def kernel_ev(self, num_eval_points : int):

def convolve(self, values, eval_points):
ker = self.kernel_ev(eval_points)
return np.convolve(values, ker, 'same')
return sp.signal.convolve(values, ker, 'same')

def apply(self, f, y, x_eval, eval_points = None):
if eval_points is None:
Expand Down