Package org.apache.spark.ml
Class Pipeline.SharedReadWrite$
Object
org.apache.spark.ml.Pipeline.SharedReadWrite$
- Enclosing class:
- Pipeline
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Field Summary
Modifier and TypeFieldDescriptionstatic final Pipeline.SharedReadWrite$
Static reference to the singleton instance of this Scala object. -
Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptiongetStagePath
(String stageUid, int stageIdx, int numStages, String stagesDir) Get path for saving the given stage.scala.Tuple2<String,
PipelineStage[]> load
(String expectedClassName, SparkContext sc, String path) Deprecated.use load with SparkSession.scala.Tuple2<String,
PipelineStage[]> load
(String expectedClassName, SparkSession spark, String path) void
saveImpl
(Params instance, PipelineStage[] stages, SparkContext sc, String path) Deprecated.use saveImpl with SparkSession.void
saveImpl
(Params instance, PipelineStage[] stages, SparkSession spark, String path) void
validateStages
(PipelineStage[] stages) Check that all stages are Writable
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Field Details
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MODULE$
Static reference to the singleton instance of this Scala object.
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Constructor Details
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SharedReadWrite$
public SharedReadWrite$()
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Method Details
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validateStages
Check that all stages are Writable -
saveImpl
Deprecated.use saveImpl with SparkSession. Since 4.0.0.Save metadata and stages for aPipeline
orPipelineModel
- save metadata to path/metadata - save stages to stages/IDX_UID- Parameters:
instance
- (undocumented)stages
- (undocumented)sc
- (undocumented)path
- (undocumented)
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saveImpl
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load
public scala.Tuple2<String,PipelineStage[]> load(String expectedClassName, SparkContext sc, String path) Deprecated.use load with SparkSession. Since 4.0.0.Load metadata and stages for aPipeline
orPipelineModel
- Parameters:
expectedClassName
- (undocumented)sc
- (undocumented)path
- (undocumented)- Returns:
- (UID, list of stages)
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load
public scala.Tuple2<String,PipelineStage[]> load(String expectedClassName, SparkSession spark, String path) -
getStagePath
Get path for saving the given stage.
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