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4 changes: 2 additions & 2 deletions sklearn_extra/kernel_methods/_eigenpro.py
Original file line number Diff line number Diff line change
Expand Up @@ -180,7 +180,7 @@ def _setup(self, feat, max_components, mG, alpha):
]

max_S = E[0].astype(np.float32)
kxx = 1 - np.sum(Lambda ** 2, axis=1) * n_subsamples
kxx = 1 - np.sum(Lambda**2, axis=1) * n_subsamples
return max_S / scale, np.max(kxx), D, Lambda

def _initialize_params(self, X, Y, random_state):
Expand Down Expand Up @@ -234,7 +234,7 @@ def _initialize_params(self, X, Y, random_state):
n_components = max(1, n_components)

# Approximate amount of memory that we want to use
mem_bytes = 0.1 * 1024 ** 3
mem_bytes = 0.1 * 1024**3
# Memory used with a certain sample size
mem_usages = (d + n_label + 2 * np.arange(sample_size)) * n * 4
mG = np.int32(np.sum(mem_usages < mem_bytes))
Expand Down