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43 lines
1002 B
Python
43 lines
1002 B
Python
# Titan Robotics Team 2022: RegressionMetric submodule
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# Written by Arthur Lu
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# Notes:
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# this should be imported as a python module using 'from tra_analysis import RegressionMetric'
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# setup:
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__version__ = "1.0.1"
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__changelog__ = """changelog:
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1.0.1:
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- optimized imports
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1.0.0:
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- ported analysis.RegressionMetric() here
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"""
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__author__ = (
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"Arthur Lu <learthurgo@gmail.com>",
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)
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__all__ = [
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'RegressionMetric'
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]
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import numpy as np
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import sklearn
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class RegressionMetric():
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def __new__(cls, predictions, targets):
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return cls.r_squared(cls, predictions, targets), cls.mse(cls, predictions, targets), cls.rms(cls, predictions, targets)
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def r_squared(self, predictions, targets): # assumes equal size inputs
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return sklearn.metrics.r2_score(targets, predictions)
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def mse(self, predictions, targets):
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return sklearn.metrics.mean_squared_error(targets, predictions)
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def rms(self, predictions, targets):
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return np.sqrt(sklearn.metrics.mean_squared_error(targets, predictions)) |