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)
