def _handleOverwrite(self, path):
from pyspark.ml.wrapper import JavaWrapper
_java_obj = JavaWrapper._new_java_obj(
"org.apache.spark.ml.util.FileSystemOverwrite")
wrapper = JavaWrapper(_java_obj)
wrapper._call_java("handleOverwrite", path, True, self.sc._jsc.sc())
def _handleOverwrite(self, path: str) -> None:
from pyspark.ml.wrapper import JavaWrapper
_java_obj = JavaWrapper._new_java_obj( # type: ignore[attr-defined]
"org.apache.spark.ml.util.FileSystemOverwrite")
wrapper = JavaWrapper(_java_obj)
wrapper._call_java( # type: ignore[attr-defined]
"handleOverwrite", path, True, self.sparkSession._jsparkSession)
def _handleOverwrite(self, path):
from pyspark.ml.wrapper import JavaWrapper
_java_obj = JavaWrapper._new_java_obj("org.apache.spark.ml.util.FileSystemOverwrite")
wrapper = JavaWrapper(_java_obj)
wrapper._call_java("handleOverwrite", path, True, self.sc._jsc.sc())
def saveBooster(self, save_path):
jxgb = JavaWrapper(self.getBooster())
jxgb._call_java("saveModel", save_path)
def fscore(self,fmap=""):
jxgb = JavaWrapper(self.getBooster())
return jxgb._call_java("getFeatureScore",fmap)
def get_dump(self,fmap="",with_stats=True,format= "text"):
jxgb = JavaWrapper(self.getBooster())
return jxgb._call_java("getModelDump",fmap,with_stats,format)