Artificial Intelligence for Education

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Documentation for package ‘aifeducation’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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.
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_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.
TextEmbeddingClassifierNeuralNet	Text embedding classifier with a neural net
TextEmbeddingModel	Text embedding model
train_tune_bert_model	Function for training and fine-tuning a BERT 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