tra-analysis/analysis-master/tra_analysis/RegressionMetric.py
Arthur Lu dad195a00f fixed/optimized imports,
fixed headers

Signed-off-by: Arthur Lu <learthurgo@gmail.com>
2021-11-09 22:52:04 +00:00

43 lines
1002 B
Python

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