def __init__(self, **kwargs): self._selection = dict() for arg in kwargs: self._selection[arg] = kwargs[arg] Transformer.__init__(self, name='sample_slicer', **kwargs)
def __init__(self, selection_dictionary=None, stack_attr=['targets', 'chunks'], **kwargs): self._selection = selection_dictionary self._attr = stack_attr Transformer.__init__(self, name='sample_stacker', **kwargs)
def __init__(self, balancer=RandomUnderSampler(return_indices=True), attr='chunks', **kwargs): self._attr = attr self._balancer_algorithm = balancer self._balancer = self._check_balancer(balancer) Transformer.__init__(self, name='balancer', **kwargs)
def __init__(self, **kwargs): self._selection = dict() for arg in kwargs: self._selection[arg] = kwargs[arg] Transformer.__init__(self, name='sample_slicer',**kwargs)
def __init__(self, name='pipeline', nodes=[Transformer()]): self.nodes = [] if nodes != None: self.nodes = nodes if isinstance(nodes[0], str): self.nodes = [function_mapper(node)() for node in nodes] Transformer.__init__(self, name)
def __init__(self, name='zfisher', **kwargs): Transformer.__init__(self, name=name, **kwargs)
def __init__(self, target=None, **kwargs): self._attribute = target Transformer.__init__(self, name='target_transformer', **kwargs)
def __init__(self, name='sample_normalizer', **kwargs): Transformer.__init__(self, name=name, **kwargs)
def __init__(self, chunks_attr='chunks', param_est=None, **kwargs): self.node = ZScoreMapper(chunks_attr=chunks_attr, param_est=param_est) Transformer.__init__(self, name='feature_normalizer', **kwargs)
def __init__(self, attributes, **kwargs): self.node = mean_group_sample(attributes) Transformer.__init__(self, name='sample_averager', **kwargs)
def __init__(self, selection_dictionary=None, stack_attr=['targets', 'chunks'], **kwargs): self._selection = selection_dictionary self._attr = stack_attr Transformer.__init__(self, name='sample_stacker',**kwargs)
def __init__(self, degree=1, chunks_attr='chunks', **kwargs): self._degree = degree self.node = PolyDetrendMapper(chunks_attr=chunks_attr, polyord=degree) Transformer.__init__(self, name='detrending', **kwargs)
def __init__(self, name='upper_matrix', **kwargs): Transformer.__init__(self, name=name, **kwargs)
def __init__(self, balancer, attr='chunks', name='node', **kwargs): self._attr = attr self._balancer = balancer Transformer.__init__(self, name=name, **kwargs)