Metadata-Version: 1.0
Name: dictionary-model
Version: 0.2.2
Summary: Model for tracking context of utterance and predicting future characters.
Home-page: UNKNOWN
Author: Michał Kosturek
Author-email: eemkos@gmail.com
License: Michał Kosturek
Description: dictionary-model
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        To use, first create CharPredictor object::
        
            >>> predictor = CharPredictor()
        
        This may take a while as model is being downloaded and loaded.
        
        Then, to track utterance context, use::
        
            >>> letter_index = 1    # 1 -> a,   letters should be indexed in order: ' abcdefghijklmnopqrstuvwxyz' (0 -> space)
            >>> predictor.add_to_context(letter_index)
        
        or::
        
            >>> letter = 'a'
            >>> predictor.add_to_context(letter)
        
        And finally - you can predict letter (letter index) based on stored context::
        
            >>> predictor.transform()
        
Platform: UNKNOWN
