SuperConfig
Entry pointLanguage-independent config for an rtemis supervised-learning run. Mirrors the `SuperConfig` object: data references, optional preprocessing / decomposition, an algorithm with hyperparameters, optional tuning and outer resampling, and execution settings. The same config drives rtemis (R), rtemis-py, and rtemislive.
Properties
dat_training_pathstring | nulldefaultnullPath to the training data.
dat_validation_pathstring | nulldefaultnullPath to the validation data.
dat_test_pathstring | nulldefaultnullPath to the held-out test data.
weightsstring | nulldefaultnullName of the column to use as case weights.
positive_classstring | nulldefaultnullOutcome level to treat as positive (binary classification).
preprocessor_configdecomposition_configalgorithmstring | nulldefaultnullSupervised-learning algorithm name.
hyperparameterstuner_configouter_resampling_configexecution_configquestionstring | nulldefaultnullUser-provided label / question for the run.
outdirstringdefault"results/"Output directory for results.
verbosityintegerdefault1≥ 0Verbosity level.