(predict feature-dataset thawed-model model)
Predict on new data using the CRF classifier.
The data need to be given a texts in the feature column of the dataset.
This method gets called indirectly by tech.ml
.
Predict on new data using the CRF classifier. The data need to be given a texts in the feature column of the dataset. This method gets called indirectly by `tech.ml`.
(train feature-dataset target-dataset opts)
Train an edu.stanford.nlp.ie.crf.CRFClassifier.
The training data needs to be given as tokens in the feature column of the dataset and the gold class needs to be given in the inference-target column of the dataset. The options maps can contain any option specified in the javadoc of CRFClassifier.
This methods gets called indirectly by tech.ml
.
Train an edu.stanford.nlp.ie.crf.CRFClassifier. The training data needs to be given as tokens in the feature column of the dataset and the gold class needs to be given in the inference-target column of the dataset. The options maps can contain any option specified in the javadoc of CRFClassifier. This methods gets called indirectly by `tech.ml`.
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