High-Performance Open-Source Archive
dt_potato_22plot.performance() when reporting
average metrics.fn_lpl(), fn_qpl(),
fn_qpl().compute_tangent() accepts the x argument
as data.frame.ggplot2 was updated.compute_tangent() function added to compute tangent
line(s) for a modeler object.inverse_predict.modeler() S3 method added to calculate
inverse predictions for modeler objects.update.modeler() S3 method added to refit a model of
class modeler.fn_lin_logis(), fn_quad_plat() and
fn_quad_pl_sm().predict.modeler() includes parallel and
workers to allow for parallel computing.modeler(), Jacobian
and Hessian are computed only for the best method.fn_lin_plat() function.modeler() function now uses optimr
instead of opm for faster execution.plot.modeler() includes linewidth argument
to increase size in geom lines.list_methods().modeler().fitted.modeler() S3 method added to extract fitted
values from modeler objects.residuals.modeler() S3 method added to extract
residuals from modeler objects.augment() function added to calculate influence
measures (Cook’s distance, leverage values, standardized residuals,
studentized residuals).c.modeler() S3 method added to combine
modeler objects.subset.modeler() S3 method added to subset
modeler objects.performance() function added to evaluate the
performance of several models.plot.performance() S3 method to plot an object of class
performance.modeler() adds the function name (fn_name)
in every output table.modeler() no longer returns function call.plot.modeler() includes add_ribbon_pi and
add_ribbon_ci arguments for prediction and confidence
intervals.metrics() returns R2 instead of r_squared.modeler() with upcoming version of
future.
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