Package org.apache.spark.ml.util

package org.apache.spark.ml.util
  • Class
    Description
    BaseReadWrite
    Trait for MLWriter and MLReader.
    DatasetUtils
     
    DefaultParamsReadable<T>
    Helper trait for making simple Params types readable.
    DefaultParamsWritable
    Helper trait for making simple Params types writable.
    GeneralMLWritable
    Trait for classes that provide GeneralMLWriter.
    GeneralMLWriter
    A ML Writer which delegates based on the requested format.
    HasTrainingSummary<T>
    Trait for models that provides Training summary.
    Identifiable
    Trait for an object with an immutable unique ID that identifies itself and its derivatives.
    MetaAlgorithmReadWrite
    Default Meta-Algorithm read and write implementation.
    MetadataUtils
    Helper utilities for algorithms using ML metadata
    MLFormatRegister
    ML export formats for should implement this trait so that users can specify a shortname rather than the fully qualified class name of the exporter.
    MLReadable<T>
    Trait for objects that provide MLReader.
    MLReader<T>
    Abstract class for utility classes that can load ML instances.
    MLWritable
    Trait for classes that provide MLWriter.
    MLWriter
    Abstract class for utility classes that can save ML instances in Spark's internal format.
    MLWriterFormat
    Abstract class to be implemented by objects that provide ML exportability.
    SchemaUtils
    Utils for handling schemas.