eriklindernoren--ml-from-scratch
eriklindernoren
21 行
398 B
Python
21 行
398 B
Python
import numpy as np
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def linear_kernel(**kwargs):
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def f(x1, x2):
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return np.inner(x1, x2)
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return f
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def polynomial_kernel(power, coef, **kwargs):
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def f(x1, x2):
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return (np.inner(x1, x2) + coef)**power
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return f
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def rbf_kernel(gamma, **kwargs):
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def f(x1, x2):
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distance = np.linalg.norm(x1 - x2) ** 2
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return np.exp(-gamma * distance)
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return f
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