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Create an iota2 object

Source: R/aux_fct.R
create_iota2_mean_object.Rd

Function creates an object of class iotarelr_iota2 which can be used with the package iotarelr. This function is for internal use only.

Usage

create_iota2_mean_object(
  iota2_list,
  free_aem = FALSE,
  call = "aifeducation::te_classifier_neuralnet",
  original_cat_labels
)

Arguments

iota2_list

list of objects of class iotarelr_iota2.

free_aem

bool TRUE if the iota2 objects are estimated without forcing the assumption of weak superiority.

call

string characterizing the source of estimation. That is, the function within the object was estimated.

original_cat_labels

vector containing the original labels of each category.

Value

Returns an object of class iotarelr_iota2 which is the mean iota2 object.

See also

Other Auxiliary Functions: array_to_matrix(), calc_standard_classification_measures(), check_embedding_models(), clean_pytorch_log_transformers(), create_synthetic_units(), generate_id(), get_coder_metrics(), get_folds(), get_n_chunks(), get_stratified_train_test_split(), get_synthetic_cases(), get_train_test_split(), is.null_or_na(), matrix_to_array_c(), split_labeled_unlabeled(), summarize_tracked_sustainability(), to_categorical_c()