ml

Type Members

1. case class ClusterInfo(name: String, centroid: Seq[Double]) extends Product with Serializable

   Representation of a single cluster.

2. case class KMeansModel(clusters: Seq[ClusterInfo], inputFeatures: Seq[ColumnDef], identifier: String = "") extends ClusteringRowModel with PFAConvertible with Product with Serializable

   A model representing results of the K-Means clustering algorithm.

3. class KMeansSQLTransformer extends ClusteringSQLTransformer

4. case class KMeansTransformer(model: KMeansModel) extends ClusteringTransformer with Product with Serializable

5. case class LinearRegressionModel(coefficients: Seq[Double], inputFeatures: Seq[ColumnDef], intercept: Double = 0, dependentFeatureName: String = "", identifier: String = "") extends RegressionRowModel with PFAConvertible with Product with Serializable

   Representation of the classical linear regression model y = intercept + a_0 x_0 + a_1 x_1 + .

6. class LinearRegressionTransformer extends RegressionTransformer

   Applies a Linear Regression model specified by the coefficients and intercept to a row of numeric data.

7. case class LogisticRegressionSQLTransformer(model: MultiLogisticRegressionModel, sqlGenerator: SQLGenerator) extends ClassificationSQLTransformer with Product with Serializable

8. case class LogisticRegressionTransformer(model: MultiLogisticRegressionModel) extends ClassificationTransformer with Product with Serializable

9. case class MultiLogisticRegressionModel(singleLORs: Seq[SingleLogisticRegression], baseValue: String, dependentFeatureName: String, inputFeatures: Seq[ColumnDef], identifier: String = "") extends ClassificationRowModel with PFAConvertible with Product with Serializable

10. case class SingleLogisticRegression(dependentValue: String, coefficients: Seq[Double], bias: Double = 0) extends Product with Serializable

    Represents a SingleLogisticRegression to be used as one of several in a MultiLogisticRegressionModel.