Man pages for aifeducation
Artificial Intelligence for Education
| AIFEBaseModel | Base class for models using neural nets |
| aife_transformer_maker | 'R6' object of the 'AIFETransformerMaker' class |
| AIFETransformerMaker | 'R6' class for transformer creation |
| AIFETrType | Transformer types |
| auto_n_cores | Number of cores for multiple tasks |
| calc_standard_classification_measures | Calculate standard classification measures |
| check_aif_py_modules | Check if all necessary python modules are available |
| clean_pytorch_log_transformers | Clean pytorch log of transformers |
| cohens_kappa | Calculate Cohen's Kappa |
| create_config_state | Create config for R interfaces |
| create_data_embeddings_description | Generate description for text embeddings |
| create_dir | Create directory if not exists |
| create_synthetic_units_from_matrix | Create synthetic units |
| DataManagerClassifier | Data manager for classification tasks |
| dot-AIFEBaseTransformer | Base 'R6' class for creation and definition of... |
| dot-AIFEBertTransformer | Child 'R6' class for creation and training of 'BERT'... |
| dot-AIFEDebertaTransformer | Child 'R6' class for creation and training of 'DeBERTa-V2'... |
| dot-AIFEFunnelTransformer | Child 'R6' class for creation and training of 'Funnel'... |
| dot-AIFELongformerTransformer | Child 'R6' class for creation and training of 'Longformer'... |
| dot-AIFEMpnetTransformer | Child 'R6' class for creation and training of 'MPNet'... |
| dot-AIFERobertaTransformer | Child 'R6' class for creation and training of 'RoBERTa'... |
| dot-AIFETrObj | Transformer objects |
| EmbeddedText | Embedded text |
| fleiss_kappa | Calculate Fleiss' Kappa |
| generate_id | Generate ID suffix for objects |
| get_alpha_3_codes | Country Alpha 3 Codes |
| get_coder_metrics | Calculate reliability measures based on content analysis |
| get_file_extension | Get file extension |
| get_n_chunks | Get the number of chunks/sequences for each case |
| get_py_package_versions | Get versions of python components |
| get_synthetic_cases_from_matrix | Create synthetic cases for balancing training data |
| imdb_movie_reviews | Standford Movie Review Dataset |
| install_aifeducation | Install aifeducation on a machine |
| install_py_modules | Installing necessary python modules to an environment |
| is.null_or_na | Check if NULL or NA |
| kendalls_w | Calculate Kendall's coefficient of concordance w |
| kripp_alpha | Calculate Krippendorff's Alpha |
| LargeDataSetBase | Abstract base class for large data sets |
| LargeDataSetForText | Abstract class for large data sets containing raw texts |
| LargeDataSetForTextEmbeddings | Abstract class for large data sets containing text embeddings |
| License_Server | Server function for: graphical user interface for showing the... |
| load_from_disk | Loading objects created with 'aifeducation' |
| long_load_target_data | Load target data for long running tasks |
| matrix_to_array_c | Reshape matrix to array |
| output_message | Print message |
| print_message | Print message ('message()') |
| Reliability_Server | Server function for: graphical user interface for displaying... |
| Reliability_UI | Graphical user interface for displaying the reliability of... |
| run_py_file | Run python file |
| save_to_disk | Saving objects 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 tensorflow |
| set_config_tf_logger | Sets the level for logging information in tensorflow |
| set_transformers_logger | Sets the level for logging information of the 'transformers'... |
| start_aifeducation_studio | Aifeducation Studio |
| summarize_tracked_sustainability | Summarizing tracked sustainability data |
| TEClassifierProtoNet | Text embedding classifier with a ProtoNet |
| TEClassifierRegular | Text embedding classifier with a neural net |
| TEFeatureExtractor | Feature extractor for reducing the number for dimensions of... |
| TextEmbeddingModel | Text embedding model |
| to_categorical_c | Transforming classes to one-hot encoding |
| vignette_classifier | Vignette classifier |
| vignette_classifier_ProtoNet | Vignette classifier ProtoNet |
| vignette_classifier_sc_pl | Vignette classifier trained with Synthetic Cases and Pseudo... |
