This module is used to get metrics of Machine Learning/Deep Learning Models.It consists of all sklearn.metrics and stats module methods.Using this module you can also use all all different distances obtained in metrics.pairwise.cosine_distance etc.
from sklearning.metrics import *
y_test = [0,1,2,3,4]
y_pred = [0,1,2,3,5]
#Root Mean Squared Error
rmse = rootMeanSquaredError(y_test,y_pred)
print(rmse)
o/p:0.4472135954999579
#Regressor Summary
summary = regressorSummary(y_test,y_pred)
print(summary)
#Stats Value
statsValue(y_test,y_pred)
o/p:
statsValue(y_test,y_pred)
pvalues
[0.53047777 0.00190127]
tvalues
[-0.70710678 10.39230485]
rsquared
0.972972972972973
rsquared_adj
0.963963963963964
#All methods of sklean.metrics can be used by just giving the name of methods ex:
mse = mean_squared_error(y_test,y_pred)
print(mse)
o/p: 0.2
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Release files for sklearning 0.0.1
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