Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/7952#discussion_r36431447
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/IsotonicRegression.scala ---
@@ -17,44 +17,111 @@
package org.apache.spark.ml.regression
+import org.apache.spark.Logging
import org.apache.spark.annotation.Experimental
-import org.apache.spark.ml.PredictorParams
-import org.apache.spark.ml.param.{Param, ParamMap, BooleanParam}
-import org.apache.spark.ml.util.{SchemaUtils, Identifiable}
-import org.apache.spark.mllib.regression.{IsotonicRegression =>
MLlibIsotonicRegression}
-import org.apache.spark.mllib.regression.{IsotonicRegressionModel =>
MLlibIsotonicRegressionModel}
+import org.apache.spark.ml.{Estimator, Model}
+import org.apache.spark.ml.param._
+import org.apache.spark.ml.param.shared.{HasFeaturesCol, HasLabelCol,
HasPredictionCol}
+import org.apache.spark.ml.util.{Identifiable, SchemaUtils}
+import org.apache.spark.mllib.linalg.{Vector, VectorUDT, Vectors}
+import org.apache.spark.mllib.regression.{IsotonicRegression =>
MLlibIsotonicRegression, IsotonicRegressionModel =>
MLlibIsotonicRegressionModel}
import org.apache.spark.rdd.RDD
-import org.apache.spark.sql.types.{DoubleType, DataType}
-import org.apache.spark.sql.{Row, DataFrame}
+import org.apache.spark.sql.{DataFrame, Row}
+import org.apache.spark.sql.functions.{col, lit, udf}
+import org.apache.spark.sql.types.{DoubleType, StructType}
import org.apache.spark.storage.StorageLevel
/**
* Params for isotonic regression.
*/
-private[regression] trait IsotonicRegressionParams extends PredictorParams
{
+private[regression] trait IsotonicRegressionBase extends Params with
HasFeaturesCol
+ with HasLabelCol with HasPredictionCol with Logging {
/**
- * Param for weight column name.
- * TODO: Move weightCol to sharedParams.
- *
+ * Param for weight column name (default: none).
* @group param
*/
+ // TODO: Move weightCol to sharedParams.
final val weightCol: Param[String] =
- new Param[String](this, "weightCol", "weight column name")
+ new Param[String](this, "weightCol",
+ "weight column name. If this is not set or empty, we treat all
instance weights as 1.0.")
/** @group getParam */
final def getWeightCol: String = $(weightCol)
/**
- * Param for isotonic parameter.
- * Isotonic (increasing) or antitonic (decreasing) sequence.
+ * Param for whether the output sequence should be isotonic/increasing
(true) or
+ * antitonic/decreasing (false).
* @group param
*/
final val isotonic: BooleanParam =
new BooleanParam(this, "isotonic", "isotonic (increasing) or antitonic
(decreasing) sequence")
/** @group getParam */
- final def getIsotonicParam: Boolean = $(isotonic)
+ final def getIsotonic: Boolean = $(isotonic)
+
+ /**
+ * Param for the index of the feature if [[featuresCol]] is a vector
column (default: `1`), no
--- End diff --
ah ...
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