logLoss()
and deviance_poisson()
are now less picky about predictions of 0 (or 1).This release bumps the package to stable version 1.0.0.
package::function()
notationThis is a maintainance update without any code change.
reference_mean
to r_squared()
functions. This allows clean out-of-sample applications.Maintainance release. rmarkdown
is now an explicit "Suggested" package.
weighted_cor
to calculate weighted correlation between actual and observed values.
prop_within
to calculate weighted proportion of predictions within a tolerance around actual values.
Elementary scoring functions for expectiles and quantiles.
multi_metric
: A way to create a named list of performance measures parametrized by a parameter.
Added the following convenience wrappers to r_squared
.
r_squared_poisson
r_squared_gamma
r_squared_bernoulli
Added function weighted_var
to calculate variance weighted by sampling weights.
Improvement of documentation and examples.
Better handling of Tweedie special cases.
More strict error handling.
Added median absolute error (and weighted_median, weighted_quantile)
Initial release.
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