mean_squared_log_error: Calculate mean squared log error regression loss.

In scorer: Quickly Score Models in Data Science and Machine Learning

Description

Calculate mean squared log error regression loss.

Usage

mean_squared_log_error(y_true, y_pred)

Arguments

y_true	Ground truth (correct) target values.
y_pred	Estimated target values.

Value

A numeric vector of length one.

See Also

Other regression.metrics: absolute_error, absolute_percent_error, explained_variance_score, log_error, mean_absolute_error, mean_absolute_percent_error, mean_absolute_scaled_error, mean_error, mean_percent_error, mean_squared_error, median_absolute_error, median_absolute_percent_error, median_percent_error, median_squared_error, median_squared_log_error, percent_error, r2_score, squared_error, squared_log_error, symmetric_mean_absolute_percent_error, symmetric_median_absolute_percent_error, total_variance_score, unexplained_variance_score

Examples

mean_squared_log_error(1:10, 10:1)

Example output

[1] NaN

scorer documentation built on May 2, 2019, 3:22 a.m.