| AifeducationConfiguration | R6 class for settting the global machine learning framework. |
| 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 |
| EmbeddedText | Embedded text |
| 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 |
| TextEmbeddingClassifierNeuralNet | Text embedding classifier with a neural net |
| TextEmbeddingModel | Text embedding model |
| 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. |