From 6519fd06cc8175c9182ef16cf8a37d7f255eb846 Mon Sep 17 00:00:00 2001
From: Xiangrui Meng <meng@databricks.com>
Date: Wed, 26 Aug 2015 11:47:05 -0700
Subject: [PATCH] [SPARK-9665] [MLLIB] audit MLlib API annotations
I only found `ml.NaiveBayes` missing `Experimental` annotation. This PR doesn't cover Python APIs.
cc jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes #8452 from mengxr/SPARK-9665.
---
.../apache/spark/ml/classification/NaiveBayes.scala | 12 ++++++++----
1 file changed, 8 insertions(+), 4 deletions(-)
diff --git a/mllib/src/main/scala/org/apache/spark/ml/classification/NaiveBayes.scala b/mllib/src/main/scala/org/apache/spark/ml/classification/NaiveBayes.scala
index 97cbaf1fa8..69cb88a7e6 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/classification/NaiveBayes.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/classification/NaiveBayes.scala
@@ -18,11 +18,11 @@
package org.apache.spark.ml.classification
import org.apache.spark.SparkException
-import org.apache.spark.ml.{PredictorParams, PredictionModel, Predictor}
-import org.apache.spark.ml.param.{ParamMap, ParamValidators, Param, DoubleParam}
+import org.apache.spark.annotation.Experimental
+import org.apache.spark.ml.PredictorParams
+import org.apache.spark.ml.param.{DoubleParam, Param, ParamMap, ParamValidators}
import org.apache.spark.ml.util.Identifiable
-import org.apache.spark.mllib.classification.{NaiveBayes => OldNaiveBayes}
-import org.apache.spark.mllib.classification.{NaiveBayesModel => OldNaiveBayesModel}
+import org.apache.spark.mllib.classification.{NaiveBayes => OldNaiveBayes, NaiveBayesModel => OldNaiveBayesModel}
import org.apache.spark.mllib.linalg._
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.rdd.RDD
@@ -59,6 +59,7 @@ private[ml] trait NaiveBayesParams extends PredictorParams {
}
/**
+ * :: Experimental ::
* Naive Bayes Classifiers.
* It supports both Multinomial NB
* ([[http://nlp.stanford.edu/IR-book/html/htmledition/naive-bayes-text-classification-1.html]])
@@ -68,6 +69,7 @@ private[ml] trait NaiveBayesParams extends PredictorParams {
* ([[http://nlp.stanford.edu/IR-book/html/htmledition/the-bernoulli-model-1.html]]).
* The input feature values must be nonnegative.
*/
+@Experimental
class NaiveBayes(override val uid: String)
extends ProbabilisticClassifier[Vector, NaiveBayes, NaiveBayesModel]
with NaiveBayesParams {
@@ -101,11 +103,13 @@ class NaiveBayes(override val uid: String)
}
/**
+ * :: Experimental ::
* Model produced by [[NaiveBayes]]
* @param pi log of class priors, whose dimension is C (number of classes)
* @param theta log of class conditional probabilities, whose dimension is C (number of classes)
* by D (number of features)
*/
+@Experimental
class NaiveBayesModel private[ml] (
override val uid: String,
val pi: Vector,
--
GitLab