prediction.md

Prediction

ConLLU file prediction:

Input and output are both in *.conllu format.

combo --mode predict --model_path your_model_tar_gz --input_file your_conllu_file --output_file your_output_file --silent

Console

Works for models where input was text-based only.

Interactive testing in console (load model and just type sentence in console).

combo --mode predict --model_path your_model_tar_gz --input_file "-" --nosilent

Raw text

Works for models where input was text-based only.

Input: one sentence per line.

Output: List of token jsons.

combo --mode predict --model_path your_model_tar_gz --input_file your_text_file --output_file your_output_file --silent --noconllu_format

Advanced

There are 2 tokenizers: whitespace and spacy-based (en_core_web_sm model).

Use either --predictor_name semantic-multitask-predictor or --predictor_name semantic-multitask-predictor-spacy.

Python

import combo.predict as predict

model_path = "your_model.tar.gz"
nlp = predict.SemanticMultitaskPredictor.from_pretrained(model_path)
sentence = nlp("Sentence to parse.")