def __init__(self, n_neighbors=5, weights='uniform', metric='dtw', metric_params=None, n_jobs=None, verbose=0): KNeighborsRegressor.__init__(self, n_neighbors=n_neighbors, weights=weights, algorithm='brute') self.metric = metric self.metric_params = metric_params self.n_jobs = n_jobs self.verbose = verbose
def __init__(self, n_neighbors=5, weights='uniform', algorithm='auto', leaf_size=30, p=2, metric='minkowski', metric_params=None, n_jobs=1, **kwargs): n_jobs = 4 _KNeighborsRegressor.__init__( self, n_neighbors, weights, algorithm, leaf_size, p, metric, metric_params, n_jobs, **kwargs) BaseWrapperReg.__init__(self)
def __init__(self, neighbors_num): KNeighborsRegressor.__init__(self, n_neighbors=neighbors_num) #super(KNeighbors_regressor, self).__init__(*args, **kwargs) self.neighbors_num = neighbors_num
def __init__(self, pmml, n_jobs=None): PMMLBaseRegressor.__init__(self, pmml) KNeighborsRegressor.__init__(self, n_jobs=n_jobs) PMMLBaseKNN.__init__(self) KNeighborsRegressor.fit(self, self._X, self._y)