R: Artificial Intelligence for Education

# Artificial Intelligence for Education

## Documentation for package ‘aifeducation’ version 1.0.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

.AIFEBaseTransformer | Base 'R6' class for creation and definition of '.AIFE*Transformer-like' classes
.AIFEBertTransformer | Child 'R6' class for creation and training of 'BERT' transformers
.AIFEDebertaTransformer | Child 'R6' class for creation and training of 'DeBERTa-V2' transformers
.AIFEFunnelTransformer | Child 'R6' class for creation and training of 'Funnel' transformers
.AIFELongformerTransformer | Child 'R6' class for creation and training of 'Longformer' transformers
.AIFEMpnetTransformer | Child 'R6' class for creation and training of 'MPNet' transformers
.AIFERobertaTransformer | Child 'R6' class for creation and training of 'RoBERTa' transformers
AIFEBaseModel | Base class for models using neural nets
AIFETransformerMaker | 'R6' class for transformer creation
AIFETrType | Transformer types
aife_transformer_maker | 'R6' object of the 'AIFETransformerMaker' class
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_dir | Create directory if not exists
create_synthetic_units_from_matrix | Create synthetic units
DataManagerClassifier | Data manager for classification tasks
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
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
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()')
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' library
start_aifeducation_studio | Aifeducation Studio
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 text embeddings.
TextEmbeddingModel | Text embedding model
to_categorical_c | Transforming classes to one-hot encoding