Quickly Score Models in Data Science and Machine Learning

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Documentation for package ‘scorer’ version 0.2.0

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scorer-package scorer: Quickly Score Models in Data Science and Machine Learning.
absolute_error Calculate absolute error regression loss.
absolute_percent_error Calculate absolute percent error regression loss.
ae Calculate absolute error between actual and forecast.
ape Calculate absolute percent error between actual and forecast.
e Calculate error between actual and forecast.
explained_variance_score Calculate explained variance regression score function.
log_error Calculate log error regression loss.
mape Calculate mean absolute percent error between actual and forecast.
mean_absolute_error Calculate mean absolute error regression loss.
mean_absolute_percent_error Calculate mean absolute percent error regression loss.
mean_absolute_scaled_error Calculate mean absolute scaled error regression loss.
mean_error Calculate mean error regression loss.
mean_percent_error Calculate mean percent error regression loss.
mean_squared_error Calculate mean squared error regression loss.
mean_squared_log_error Calculate mean squared log error regression loss.
median_absolute_error Calculate median absolute error regression loss.
median_absolute_percent_error Calculate median absolute percent error regression loss.
median_percent_error Calculate median percent error regression loss.
median_squared_error Calculate median squared error regression loss.
median_squared_log_error Calculate median squared log error regression loss.
pe Calculate percent error between actual and forecast.
percent_error Calculate percent error regression loss.
r2_score Calculate R^2 (coefficient of determination) regression score function.
rmse Calculate root mean squared error.
scorer scorer: Quickly Score Models in Data Science and Machine Learning.
squared_error Calculate squared error regression loss.
squared_log_error Calculate squared log_error regression loss.
symmetric_mean_absolute_percent_error Calculate symmetric mean absolute percent error regression loss.
symmetric_median_absolute_percent_error Calculate symmetric median absolute percent error regression loss.
total_variance_score Calculate total variance regression score function.
unexplained_variance_score Calculate unexplained variance regression score function.