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  • package org
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  • package apache
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  • package spark
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    apache
  • package ml

    DataFrame-based machine learning APIs to let users quickly assemble and configure practical machine learning pipelines.

  • package mllib

    RDD-based machine learning APIs (in maintenance mode).

    RDD-based machine learning APIs (in maintenance mode).

    The spark.mllib package is in maintenance mode as of the Spark 2.0.0 release to encourage migration to the DataFrame-based APIs under the org.apache.spark.ml package. While in maintenance mode,

    • no new features in the RDD-based spark.mllib package will be accepted, unless they block implementing new features in the DataFrame-based spark.ml package;
    • bug fixes in the RDD-based APIs will still be accepted.

    The developers will continue adding more features to the DataFrame-based APIs in the 2.x series to reach feature parity with the RDD-based APIs. And once we reach feature parity, this package will be deprecated.

    See also

    SPARK-4591 to track the progress of feature parity

package spark

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  1. package ml

    DataFrame-based machine learning APIs to let users quickly assemble and configure practical machine learning pipelines.

  2. package mllib

    RDD-based machine learning APIs (in maintenance mode).

    RDD-based machine learning APIs (in maintenance mode).

    The spark.mllib package is in maintenance mode as of the Spark 2.0.0 release to encourage migration to the DataFrame-based APIs under the org.apache.spark.ml package. While in maintenance mode,

    • no new features in the RDD-based spark.mllib package will be accepted, unless they block implementing new features in the DataFrame-based spark.ml package;
    • bug fixes in the RDD-based APIs will still be accepted.

    The developers will continue adding more features to the DataFrame-based APIs in the 2.x series to reach feature parity with the RDD-based APIs. And once we reach feature parity, this package will be deprecated.

    See also

    SPARK-4591 to track the progress of feature parity

Value Members

  1. val SPARK_BRANCH: String
  2. val SPARK_BUILD_DATE: String
  3. val SPARK_BUILD_USER: String
  4. val SPARK_DOC_ROOT: String
  5. val SPARK_REPO_URL: String
  6. val SPARK_REVISION: String
  7. val SPARK_VERSION: String
  8. val SPARK_VERSION_SHORT: String

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