def load(self, path: str) -> "PipelineModel":
metadata = DefaultParamsReader.loadMetadata(path, self.sc)
if "language" not in metadata["paramMap"] or metadata["paramMap"]["language"] != "Python":
return JavaMLReader(cast(Type["JavaMLReadable[PipelineModel]"], self.cls)).load(path)
else:
uid, stages = PipelineSharedReadWrite.load(metadata, self.sc, path)
return PipelineModel(stages=cast(List[Transformer], stages))._resetUid(uid)
def load(self, path):
metadata = DefaultParamsReader.loadMetadata(path, self.sc)
if 'language' not in metadata['paramMap'] or metadata['paramMap']['language'] != 'Python':
return JavaMLReader(self.cls).load(path)
else:
uid, stages = PipelineSharedReadWrite.load(metadata, self.sc, path)
return PipelineModel(stages=stages)._resetUid(uid)
def load(self, path):
metadata = DefaultParamsReader.loadMetadata(path, self.sc)
if "language" not in metadata[
"paramMap"] or metadata["paramMap"]["language"] != "Python":
return JavaMLReader(self.cls).load(path)
else:
uid, stages = PipelineSharedReadWrite.load(metadata, self.sc, path)
return PipelineModel(stages=stages)._resetUid(uid)
def read(cls):
"""Returns an MLReader instance for this class."""
return JavaMLReader(cls)
def _java_loader_class(cls, clazz):
if hasattr(clazz, '_java_class_name') and clazz._java_class_name is not None:
return clazz._java_class_name
else:
return JavaMLReader._java_loader_class(clazz)
def read(cls):
"""Returns an MLReader instance for our clarrier class."""
return JavaMLReader(PysparkObjId._getCarrierClass())
