Man pages for mdneuzerling/DrakeModelling
Using drake to Train and Execute a Model in a Custom Package
| create_tfidf | Create a fitted tf-idf |
| create_vocabulary | Create a pruned vocabulary from a token iterator |
| download_and_read_data | Download and parse review data |
| map_to_dtm | Create a document term matrix using a vectoriser |
| model_execution_plan | drake plan for model execution |
| model_training_plan | drake plan for model training |
| new_data_to_be_scored | Retrieve new data that needs to be scored |
| read_review_file | Read a review source data file into a data frame |
| sentiment | Classify a review as good or bad |
| stem_tokeniser | Stem and tokenise a sentence |
| submit_predictions | Simulate submission of output data |
| text_preprocessor | Create a pruned vocabulary from a token iterator |
| validate_model | Assert that model makes sensible predictions |
| validate_predictions | Assert that model predictions are sensible |
