mlr_conditions: Error Classes

Description

Condition classes for mlr3.

Usage

error_config(msg, ..., class = NULL, signal = TRUE)
error_input(msg, ..., class = NULL, signal = TRUE)
error_timeout(signal = TRUE)
error_mlr3(msg, ..., class = NULL, signal = TRUE)
warning_mlr3(msg, ..., class = NULL, signal = TRUE)
warning_config(msg, ..., class = NULL, signal = TRUE)
warning_input(msg, ..., class = NULL, signal = TRUE)
error_learner(msg, ..., class = NULL, signal = TRUE)
error_learner_train(msg, ..., class = NULL, signal = TRUE)
error_learner_predict(msg, ..., class = NULL, signal = TRUE)

Arguments

msg: (character(1))
Error message.
...: (any)
Passed to sprintf().
class: (character)
Additional class(es).
signal: (logical(1))
If FALSE, the condition object is returned instead of being signaled.

Formatting

It is also possible to use formatting options as defined in cli::cli_bullets.

Errors

error_mlr3() for the base Mlr3Error class.
error_config() for the Mlr3ErrorConfig class, which signals that a user has misconfigured something (e.g. invalid learner configuration).
error_input() for the Mlr3ErrorInput class, which signals that an invalid input was provided.
error_timeout() for the Mlr3ErrorTimeout, signalling a timeout (encapsulation).
error_learner() for the Mlr3ErrorLearner, signalling a learner error.
error_learner_train() for the Mlr3ErrorLearner, signalling a learner training error.
error_learner_predict() for the Mlr3ErrorLearner, signalling a learner prediction error.

Warnings

warning_mlr3() for the base Mlr3Warning class.
warning_config() for the Mlr3WarningConfig class, which signals that a user might have misconfigured something.
warning_input() for the Mlr3WarningInput if an invalid input might have been provided.