def get_entry(i, j):
s1 = sym_sets[i]
s2 = sym_sets[j]
p1 = self.component_polys_dict[s1]
p2 = self.component_polys_dict[s2]
return sym_poly_utils.sample_dot(
self.sample, p1, p2, normalize=True
)
def get_entry(i, j):
s1 = sym_sets[i]
s2 = sym_sets[j]
p1 = self.component_polys_dict[s1]
p2 = self.component_polys_dict[s2]
return sym_poly_utils.sample_dot(self.sample,
p1,
p2,
normalize=True)
def cosparsity_index(self, sample, threshold=1.0e-5):
"""
Returns the number of basis polynomials whose dot product with the
model polynomial over the sample given is above the threshold.
"""
basis_polys = [p for p, _ in self.basis_coeff_dict]
dot_prods = [
sym_poly_utils.sample_dot(sample,
self.full_model_poly,
p,
normalize=True) for p in basis_polys
]
return len([d for d in dot_prods if d > threshold])
def cosparsity_index(self, sample, threshold=1.0e-5):
"""
Returns the number of basis polynomials whose dot product with the
model polynomial over the sample given is above the threshold.
"""
basis_polys = [p for p, _ in self.basis_coeff_dict]
dot_prods = [
sym_poly_utils.sample_dot(
sample, self.full_model_poly, p, normalize=True
)
for p in basis_polys
]
return len([d for d in dot_prods if d > threshold])
