SPARK-1357 (addendum). More Experimental items in MLlib

Per discussion, this is my suggestion to make ALS Rating, ClassificationModel, RegressionModel experimental for now, to reserve the right to possibly change after 1.0. See what you think of this much.

Author: Sean Owen <sowen@cloudera.com>

Closes #372 from srowen/SPARK-1357Addendum and squashes the following commits:

17cf1ea [Sean Owen] Remove (another) blank line after ":: Experimental ::"
6800e4c [Sean Owen] Remove blank line after ":: Experimental ::"
b3a88d2 [Sean Owen] Make ALS Rating, ClassificationModel, RegressionModel experimental for now, to reserve the right to possibly change after 1.0
This commit is contained in:
Sean Owen 2014-04-18 10:04:02 -07:00 committed by Reynold Xin
parent aa17f022c5
commit 8aa1f4c4f6
3 changed files with 10 additions and 0 deletions

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@ -19,11 +19,14 @@ package org.apache.spark.mllib.classification
import org.apache.spark.mllib.linalg.Vector
import org.apache.spark.rdd.RDD
import org.apache.spark.annotation.Experimental
/**
* :: Experimental ::
* Represents a classification model that predicts to which of a set of categories an example
* belongs. The categories are represented by double values: 0.0, 1.0, 2.0, etc.
*/
@Experimental
trait ClassificationModel extends Serializable {
/**
* Predict values for the given data set using the model trained.

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@ -56,8 +56,10 @@ private[recommendation] case class InLinkBlock(
/**
* :: Experimental ::
* A more compact class to represent a rating than Tuple3[Int, Int, Double].
*/
@Experimental
case class Rating(val user: Int, val product: Int, val rating: Double)
/**

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@ -19,7 +19,12 @@ package org.apache.spark.mllib.regression
import org.apache.spark.rdd.RDD
import org.apache.spark.mllib.linalg.Vector
import org.apache.spark.annotation.Experimental
/**
* :: Experimental ::
*/
@Experimental
trait RegressionModel extends Serializable {
/**
* Predict values for the given data set using the model trained.