Trait

org.ada.server.services.ml

MachineLearningService

Related Doc: package ml

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trait MachineLearningService extends AnyRef

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  1. abstract def classifyRowTemporalSeries(data: Traversable[JsObject], fields: Seq[(String, FieldTypeSpec)], inputFieldNames: Seq[String], outputFieldName: String, orderFieldName: String, orderedValues: Seq[Any], groupIdFieldName: Option[String], mlModel: Classifier, setting: TemporalClassificationLearningSetting, replicationData: Traversable[JsObject] = Nil): Future[ClassificationResultsHolder]

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  2. abstract def classifyStatic(data: Traversable[JsObject], fields: Seq[(String, FieldTypeSpec)], outputFieldName: String, mlModel: Classifier, setting: ClassificationLearningSetting = ClassificationLearningSetting(), replicationData: Traversable[JsObject] = Nil): Future[ClassificationResultsHolder]

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  3. abstract def classifyTemporalSeries(data: JsObject, ioSpec: IOJsonTimeSeriesSpec, mlModel: Classifier, setting: TemporalClassificationLearningSetting, replicationData: Option[JsObject] = None): Future[ClassificationResultsHolder]

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  4. abstract def clusterAndGetPCA12(data: Traversable[JsObject], fields: Seq[(String, FieldTypeSpec)], mlModel: Clustering, featuresNormalizationType: Option[incal.spark_ml.models.VectorScalerType.Value], pcaDim: Option[Int] = None): (Traversable[(String, Int)], Traversable[(String, (Double, Double))])

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  5. abstract def clusterBasic(data: Traversable[JsObject], fields: Seq[(String, FieldTypeSpec)], mlModel: Clustering, featuresNormalizationType: Option[incal.spark_ml.models.VectorScalerType.Value], pcaDim: Option[Int] = None): Traversable[(String, Int)]

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  6. abstract def clusterDf(dataFrame: DataFrame, idColumnName: String, mlModel: Clustering, featuresNormalizationType: Option[incal.spark_ml.models.VectorScalerType.Value], pcaDim: Option[Int] = None): Traversable[(String, Int)]

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  7. abstract def pcaComponents(k: Int)(df: DataFrame): DataFrame

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  8. abstract def regressRowTemporalSeries(data: Traversable[JsObject], fields: Seq[(String, FieldTypeSpec)], inputFieldNames: Seq[String], outputFieldName: String, orderFieldName: String, orderedValues: Seq[Any], groupIdFieldName: Option[String], mlModel: Regressor, setting: TemporalRegressionLearningSetting, replicationData: Traversable[JsObject] = Nil): Future[RegressionResultsHolder]

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  9. abstract def regressStatic(data: Traversable[JsObject], fields: Seq[(String, FieldTypeSpec)], outputFieldName: String, mlModel: Regressor, setting: RegressionLearningSetting = RegressionLearningSetting(), replicationData: Traversable[JsObject] = Nil): Future[RegressionResultsHolder]

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  10. abstract def regressTemporalSeries(data: JsObject, ioSpec: IOJsonTimeSeriesSpec, mlModel: Regressor, setting: TemporalRegressionLearningSetting, replicationData: Option[JsObject] = None): Future[RegressionResultsHolder]

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