def copy(self, extra=None):
"""
Creates a copy of this instance with a randomly generated uid
and some extra params. This copies creates a deep copy of
the embedded paramMap, and copies the embedded and extra parameters over.
.. versionadded:: 2.0.0
Parameters
----------
extra : dict, optional
Extra parameters to copy to the new instance
Returns
-------
:py:class:`TrainValidationSplit`
Copy of this instance
"""
if extra is None:
extra = dict()
newTVS = Params.copy(self, extra)
if self.isSet(self.estimator):
newTVS.setEstimator(self.getEstimator().copy(extra))
# estimatorParamMaps remain the same
if self.isSet(self.evaluator):
newTVS.setEvaluator(self.getEvaluator().copy(extra))
return newTVS
def copy(self, extra={}):
newCV = Params.copy(self, extra)
if self.isSet(self.estimator):
newCV.setEstimator(self.getEstimator().copy(extra))
# estimatorParamMaps remain the same
if self.isSet(self.evaluator):
newCV.setEvaluator(self.getEvaluator().copy(extra))
return newCV
def copy(self, extra={}):
newCV = Params.copy(self, extra)
if self.isSet(self.estimator):
newCV.setEstimator(self.getEstimator().copy(extra))
# estimatorParamMaps remain the same
if self.isSet(self.evaluator):
newCV.setEvaluator(self.getEvaluator().copy(extra))
return newCV
def copy(self, extra=None):
if extra is None:
extra = dict()
newEstimator = Params.copy(self, extra)
if self.isSet(self.estimator):
newEstimator.setEstimator(self.getEstimator().copy(extra))
if self.isSet(self.evaluator):
newEstimator.setEvaluator(self.getEvaluator().copy(extra))
return newEstimator
def copy(self, extra=None):
if extra is None:
extra = dict()
newCV = Params.copy(self, extra)
if self.isSet(self.estimator):
newCV.setEstimator(self.getEstimator().copy(extra))
# estimatorParamMaps remain the same
if self.isSet(self.evaluator):
newCV.setEvaluator(self.getEvaluator().copy(extra))
return newCV
def copy(self, extra=None):
if extra is None:
extra = dict()
newCV = Params.copy(self, extra)
if self.isSet(self.estimator):
newCV.setEstimator(self.getEstimator().copy(extra))
# estimatorParamMaps remain the same
if self.isSet(self.evaluator):
newCV.setEvaluator(self.getEvaluator().copy(extra))
return newCV
def copy(self, extra=None):
"""
Creates a copy of this instance.
:param extra: extra parameters
:returns: new instance
"""
if extra is None:
extra = dict()
that = Params.copy(self, extra)
stages = [stage.copy(extra) for stage in that.getStages()]
return that.setStages(stages)
def copy(self, extra=None):
"""
Creates a copy of this instance.
:param extra: extra parameters
:returns: new instance
"""
if extra is None:
extra = dict()
that = Params.copy(self, extra)
stages = [stage.copy(extra) for stage in that.getStages()]
return that.setStages(stages)
def copy(self, extra=None):
"""
Creates a copy of this instance with a randomly generated uid
and some extra params. This copies creates a deep copy of
the embedded paramMap, and copies the embedded and extra parameters over.
:param extra: Extra parameters to copy to the new instance
:return: Copy of this instance
"""
if extra is None:
extra = dict()
newCV = Params.copy(self, extra)
if self.isSet(self.estimator):
newCV.setEstimator(self.getEstimator().copy(extra))
# estimatorParamMaps remain the same
if self.isSet(self.evaluator):
newCV.setEvaluator(self.getEvaluator().copy(extra))
return newCV
def copy(self, extra=None):
"""
Creates a copy of this instance with a randomly generated uid
and some extra params. This copies creates a deep copy of
the embedded paramMap, and copies the embedded and extra parameters over.
:param extra: Extra parameters to copy to the new instance
:return: Copy of this instance
"""
if extra is None:
extra = dict()
newCV = Params.copy(self, extra)
if self.isSet(self.estimator):
newCV.setEstimator(self.getEstimator().copy(extra))
# estimatorParamMaps remain the same
if self.isSet(self.evaluator):
newCV.setEvaluator(self.getEvaluator().copy(extra))
return newCV
def copy(self, extra=None):
"""
Creates a copy of this instance.
.. versionadded:: 1.4.0
Parameters
----------
extra : dict, optional
extra parameters
Returns
-------
:py:class:`Pipeline`
new instance
"""
if extra is None:
extra = dict()
that = Params.copy(self, extra)
stages = [stage.copy(extra) for stage in that.getStages()]
return that.setStages(stages)
def copy(self, extra={}):
that = Params.copy(self, extra)
stages = [stage.copy(extra) for stage in that.getStages()]
return that.setStages(stages)
def copy(self, extra=None):
if extra is None:
extra = dict()
that = Params.copy(self, extra)
stages = [stage.copy(extra) for stage in that.getStages()]
return that.setStages(stages)
def copy(self, extra=None):
if extra is None:
extra = dict()
that = Params.copy(self, extra)
stages = [stage.copy(extra) for stage in that.getStages()]
return that.setStages(stages)
def copy(self, extra={}):
that = Params.copy(self, extra)
stages = [stage.copy(extra) for stage in that.getStages()]
return that.setStages(stages)
