AifeducationConfiguration
                        R6 class for settting the global machine
                        learning framework.
EmbeddedText            Embedded text
TextEmbeddingClassifierNeuralNet
                        Text embedding classifier with a neural net
TextEmbeddingModel      Text embedding model
aifeducation_config     R6 object of class AifeducationConfiguration
array_to_matrix         Array to matrix
bow_pp_create_basic_text_rep
                        Prepare texts for text embeddings with a bag of
                        word approach.
bow_pp_create_vocab_draft
                        Function for creating a first draft of a
                        vocabulary This function creates a list of
                        tokens which refer to specific universal
                        part-of-speech tags (UPOS) and provides the
                        corresponding lemmas.
calc_standard_classification_measures
                        Calculate standard classification measures
check_aif_py_modules    Check if all necessary python modules are
                        available
combine_embeddings      Combine embedded texts
create_bert_model       Function for creating a new transformer based
                        on BERT
create_deberta_v2_model
                        Function for creating a new transformer based
                        on DeBERTa-V2
create_funnel_model     Function for creating a new transformer based
                        on Funnel Transformer
create_longformer_model
                        Function for creating a new transformer based
                        on Longformer
create_roberta_model    Function for creating a new transformer based
                        on RoBERTa
create_synthetic_units
                        Create synthetic units
get_coder_metrics       Calculate reliability measures based on content
                        analysis
get_n_chunks            Get the number of chunks/sequences for each
                        case
get_synthetic_cases     Create synthetic cases for balancing training
                        data
install_py_modules      Installing necessary python modules to an
                        environment
load_ai_model           Loading models created with 'aifeducation'
matrix_to_array_c       Reshape matrix to array
save_ai_model           Saving models created with 'aifeducation'
set_config_cpu_only     Setting cpu only for 'tensorflow'
set_config_gpu_low_memory
                        Setting gpus' memory usage
set_config_os_environ_logger
                        Sets the level for logging information in
                        tensor flow.
set_config_tf_logger    Sets the level for logging information in
                        tensor flow.
set_transformers_logger
                        Sets the level for logging information of the
                        'transformers' library.
start_aifeducation_studio
                        Aifeducation Studio
to_categorical_c        Transforming classes to one-hot encoding
train_tune_bert_model   Function for training and fine-tuning a BERT
                        model
train_tune_deberta_v2_model
                        Function for training and fine-tuning a
                        DeBERTa-V2 model
train_tune_funnel_model
                        Function for training and fine-tuning a Funnel
                        Transformer model
train_tune_longformer_model
                        Function for training and fine-tuning a
                        Longformer model
train_tune_roberta_model
                        Function for training and fine-tuning a RoBERTa
                        model
update_aifeducation_progress_bar
                        Update master progress bar in aifeducation
                        shiny app.
update_aifeducation_progress_bar_epochs
                        Update epoch progress bar in aifeducation shiny
                        app.
update_aifeducation_progress_bar_steps
                        Update step/batch progress bar in aifeducation
                        shiny app.
