Note: The ML Predictor analytics plugin is deprecated and will be removed in a future release.
Plugin version: 1.11.0
Uses a model trained by the ModelTrainer plugin to add a prediction field to incoming records. The same features used to train the model must be present in each input record, but input records can also contain additional non-feature fields. If the trained model uses categorical features, and if the record being predicted contains new categories, that record will be dropped. For example, suppose categorical feature ‘city’ was used to train a model that predicts housing prices. If an incoming record has ‘New York’ as the city, but ‘New York’ was not in the training set, that record will be dropped.
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