SklearnClassifier.__init__(estimator, dtype=<type 'float'>, sparse=True)[source]
  • estimator – scikit-learn classifier object.
  • dtype – data type used when building feature array. scikit-learn estimators work exclusively on numeric data. The default value should be fine for almost all situations.
  • sparse (boolean.) – Whether to use sparse matrices internally. The estimator must support these; not all scikit-learn classifiers do (see their respective documentation and look for “sparse matrix”). The default value is True, since most NLP problems involve sparse feature sets. Setting this to False may take a great amount of memory.