| dekamer | Dataset from 2017 with Questions and Answers in the Belgium Federal Parliament |
| dekamer_theme_terminology | Dataset containing relevant terminology for each theme of the 'dekamer' dataset |
| embedding_similarity | Cosine and Inner product based similarity |
| embed_articlespace | Build a Starspace model for learning the mapping between sentences and articles (articlespace) |
| embed_docspace | Build a Starspace model for content-based recommendation |
| embed_entityrelationspace | Build a Starspace model for entity relationship completion |
| embed_pagespace | Build a Starspace model for interest-based recommendation |
| embed_sentencespace | Build a Starspace model to be used for sentence embedding |
| embed_tagspace | Build a Starspace model to be used for classification purposes |
| embed_wordspace | Build a Starspace model which calculates word embeddings |
| predict.textspace | Predict using a Starspace model |
| range.textspace | Get the scale of embedding similarities alongside a Starspace model |
| starspace | Interface to Starspace for training a Starspace model |
| starspace_dictionary | Get the dictionary of a Starspace model |
| starspace_embedding | Get the document or ngram embeddings |
| starspace_knn | K-nearest neighbours using a Starspace model |
| starspace_load_model | Load a Starspace model |
| starspace_save_model | Save a starspace model as a binary or tab-delimited TSV file |