mlr_conditions: Error Classes

In mlr3misc: Helper Functions for 'mlr3'

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 TRUE, the condition object is returned.

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 if an invalid input was provided. method.

• 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.

mlr3misc documentation built on Sept. 13, 2025, 1:10 a.m.