classifiers/resting_tremor_classifier.py
def initialize_model():
    '''
    Model that can be trained to classify periods of tremor using calculated signal based features.
    :return: SciKit Learn Random Forest classifier
    '''
    from sklearn.ensemble import RandomForestClassifier
    model = RandomForestClassifier()
    return model

    Model that can be trained to classify periods of tremor using calculated signal based features.
    :return: SciKit Learn Random Forest classifier
    
Model that can be trained to classify periods of tremor using calculated signal based features.
Model that can be trained to classify periods of tremor using calculated signal based features .
def initialize_model():
    from sklearn.ensemble import RandomForestClassifier
    model = RandomForestClassifier()
    return model
def initialize_model ( ) : from sklearn . ensemble import RandomForestClassifier model = RandomForestClassifier ( ) return model
Model that can be trained to classify periods of tremor using calculated signal based features.
Model that can be trained to classify periods of tremor using calculated signal based features .
'''
    Model that can be trained to classify periods of tremor using calculated signal based features.
    :return: SciKit Learn Random Forest classifier
    '''
SciKit Learn Random Forest classifier
SciKit Learn Random Forest classifier