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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.