com.johnsnowlabs.nlp.annotators.assertion.logreg
requirement for annotators copies
requirement for annotators copies
This is main point of interest.
This is main point of interest. It gets the input dataset transformed into the dataframe with predictions and probabilities This method utilises chunk groups, word piece embeddings and conversion to chunk indexes
an input dataset
a DataFrame with probabilities of predictions
a unique identifier for the instanced AnnotatorModel
a unique identifier for the instanced AnnotatorModel
This is a main class in AssertionLogReg family. It contains all the parameters and main point of interest method transform() which projects the input dataset into DataFrame. Unlike DL Model, this class does not extend AnnotatorModel. Instead it extends the RawAnnotator, that's why the main point of interest is method transform()