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wassname
24 lines
684 B
Python
24 lines
684 B
Python
import numpy as np
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EPSILON = 1e-10
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def _error(actual: np.ndarray, predicted: np.ndarray):
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""" Simple error """
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return actual - predicted
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def mse(actual: np.ndarray, predicted: np.ndarray):
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""" Mean Squared Error """
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return np.mean(np.square(_error(actual, predicted)))
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def rmse(actual: np.ndarray, predicted: np.ndarray):
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""" Root Mean Squared Error """
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return np.sqrt(mse(actual, predicted))
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def smape(actual: np.ndarray, predicted: np.ndarray):
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"""
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Symmetric Mean Absolute Percentage Error
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Note: result is NOT multiplied by 100
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"""
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return np.mean(2.0 * np.abs(actual - predicted) / ((np.abs(actual) + np.abs(predicted)) + EPSILON))
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