org.apache.spark.examples

ml

package ml

Visibility
  1. Public
  2. All

Type Members

  1. case class Document(id: Long, text: String) extends Product with Serializable

    Annotations
    @BeanInfo()
  2. class JavaAFTSurvivalRegressionExample extends AnyRef

  3. class JavaBinarizerExample extends AnyRef

  4. class JavaBucketizerExample extends AnyRef

  5. class JavaChiSqSelectorExample extends AnyRef

  6. class JavaCountVectorizerExample extends AnyRef

  7. class JavaCrossValidatorExample extends AnyRef

  8. class JavaDCTExample extends AnyRef

  9. class JavaDecisionTreeClassificationExample extends AnyRef

  10. class JavaDecisionTreeRegressionExample extends AnyRef

  11. class JavaDeveloperApiExample extends AnyRef

  12. class JavaElementwiseProductExample extends AnyRef

  13. class JavaGradientBoostedTreeClassifierExample extends AnyRef

  14. class JavaGradientBoostedTreeRegressorExample extends AnyRef

  15. class JavaIndexToStringExample extends AnyRef

  16. class JavaKMeansExample extends AnyRef

  17. class JavaLDAExample extends AnyRef

  18. class JavaLinearRegressionWithElasticNetExample extends AnyRef

  19. class JavaLogisticRegressionSummaryExample extends AnyRef

  20. class JavaLogisticRegressionWithElasticNetExample extends AnyRef

  21. class JavaMinMaxScalerExample extends AnyRef

  22. class JavaMultilayerPerceptronClassifierExample extends AnyRef

  23. class JavaNGramExample extends AnyRef

  24. class JavaNormalizerExample extends AnyRef

  25. class JavaOneHotEncoderExample extends AnyRef

  26. class JavaOneVsRestExample extends AnyRef

  27. class JavaPCAExample extends AnyRef

  28. class JavaPolynomialExpansionExample extends AnyRef

  29. class JavaQuantileDiscretizerExample extends AnyRef

  30. class JavaRFormulaExample extends AnyRef

  31. class JavaRandomForestClassifierExample extends AnyRef

  32. class JavaRandomForestRegressorExample extends AnyRef

  33. class JavaSQLTransformerExample extends AnyRef

  34. class JavaSimpleParamsExample extends AnyRef

  35. class JavaSimpleTextClassificationPipeline extends AnyRef

  36. class JavaStandardScalerExample extends AnyRef

  37. class JavaStopWordsRemoverExample extends AnyRef

  38. class JavaStringIndexerExample extends AnyRef

  39. class JavaTfIdfExample extends AnyRef

  40. class JavaTokenizerExample extends AnyRef

  41. class JavaTrainValidationSplitExample extends AnyRef

  42. class JavaVectorAssemblerExample extends AnyRef

  43. class JavaVectorIndexerExample extends AnyRef

  44. class JavaVectorSlicerExample extends AnyRef

  45. class JavaWord2VecExample extends AnyRef

  46. case class LabeledDocument(id: Long, text: String, label: Double) extends Product with Serializable

    Annotations
    @BeanInfo()

Value Members

  1. object AFTSurvivalRegressionExample

    An example for AFTSurvivalRegression.

  2. object BinarizerExample

  3. object BucketizerExample

  4. object ChiSqSelectorExample

  5. object CountVectorizerExample

  6. object CrossValidatorExample

    A simple example demonstrating model selection using CrossValidator.

  7. object DCTExample

  8. object DataFrameExample

    An example of how to use org.apache.spark.sql.DataFrame for ML.

  9. object DecisionTreeClassificationExample

  10. object DecisionTreeExample

    An example runner for decision trees.

  11. object DecisionTreeRegressionExample

  12. object DeveloperApiExample

    A simple example demonstrating how to write your own learning algorithm using Estimator, Transformer, and other abstractions.

  13. object ElementwiseProductExample

  14. object GBTExample

    An example runner for decision trees.

  15. object GradientBoostedTreeClassifierExample

  16. object GradientBoostedTreeRegressorExample

  17. object IndexToStringExample

  18. object KMeansExample

    An example demonstrating a k-means clustering.

  19. object LDAExample

    An example demonstrating a LDA of ML pipeline.

  20. object LinearRegressionExample

    An example runner for linear regression with elastic-net (mixing L1/L2) regularization.

  21. object LinearRegressionWithElasticNetExample

  22. object LogisticRegressionExample

    An example runner for logistic regression with elastic-net (mixing L1/L2) regularization.

  23. object LogisticRegressionSummaryExample

  24. object LogisticRegressionWithElasticNetExample

  25. object MinMaxScalerExample

  26. object MovieLensALS

    An example app for ALS on MovieLens data (http://grouplens.

  27. object MultilayerPerceptronClassifierExample

    An example for Multilayer Perceptron Classification.

  28. object NGramExample

  29. object NormalizerExample

  30. object OneHotEncoderExample

  31. object OneVsRestExample

    An example runner for Multiclass to Binary Reduction with One Vs Rest.

  32. object PCAExample

  33. object PolynomialExpansionExample

  34. object QuantileDiscretizerExample

  35. object RFormulaExample

  36. object RandomForestClassifierExample

  37. object RandomForestExample

    An example runner for decision trees.

  38. object RandomForestRegressorExample

  39. object SQLTransformerExample

  40. object SimpleParamsExample

    A simple example demonstrating ways to specify parameters for Estimators and Transformers.

  41. object SimpleTextClassificationPipeline

    A simple text classification pipeline that recognizes "spark" from input text.

  42. object StandardScalerExample

  43. object StopWordsRemoverExample

  44. object StringIndexerExample

  45. object TfIdfExample

  46. object TokenizerExample

  47. object TrainValidationSplitExample

    A simple example demonstrating model selection using TrainValidationSplit.

  48. object VectorAssemblerExample

  49. object VectorIndexerExample

  50. object VectorSlicerExample

  51. object Word2VecExample

Ungrouped