ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity

[MINOR] Follow-up to #12625

Browse source 
## What changes were proposed in this pull request?

That patch mistakenly widened the visibility from `private[x]` to `protected[x]`. This patch reverts those changes.

Author: Andrew Or <andrew@databricks.com>

Closes #12686 from andrewor14/visibility.
This commit is contained in:
Andrew Or 2016-04-26 11:08:08 -07:00
parent 5cb03220a0
commit 2a3d39f48b
3 changed files with 6 additions and 6 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

8
mllib/src/main/scala/org/apache/spark/ml/clustering/LDA.scala
View file

@ -360,10 +360,10 @@ private[clustering] trait LDAParams extends Params with HasFeaturesCol with HasM
*/
@Since("1.6.0")
@Experimental
sealed abstract class LDAModel protected[ml] (
sealed abstract class LDAModel private[ml] (
@Since("1.6.0") override val uid: String,
@Since("1.6.0") val vocabSize: Int,
@Since("1.6.0") @transient protected[ml] val sparkSession: SparkSession)
@Since("1.6.0") @transient private[ml] val sparkSession: SparkSession)
extends Model[LDAModel] with LDAParams with Logging with MLWritable {
// NOTE to developers:
@ -512,7 +512,7 @@ sealed abstract class LDAModel protected[ml] (
*/
@Since("1.6.0")
@Experimental
class LocalLDAModel protected[ml] (
class LocalLDAModel private[ml] (
uid: String,
vocabSize: Int,
@Since("1.6.0") override protected val oldLocalModel: OldLocalLDAModel,
@ -604,7 +604,7 @@ object LocalLDAModel extends MLReadable[LocalLDAModel] {
*/
@Since("1.6.0")
@Experimental
class DistributedLDAModel protected[ml] (
class DistributedLDAModel private[ml] (
uid: String,
vocabSize: Int,
private val oldDistributedModel: OldDistributedLDAModel,

2
sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala
View file

@ -41,7 +41,7 @@ import org.apache.spark.sql.types.StructType
* @since 1.4.0
*/
@Experimental
class DataFrameReader protected[sql](sparkSession: SparkSession) extends Logging {
class DataFrameReader private[sql](sparkSession: SparkSession) extends Logging {
/**
* Specifies the input data source format.

2
sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
View file

@ -151,7 +151,7 @@ private[sql] object Dataset {
*
* @since 1.6.0
*/
class Dataset[T] protected[sql](
class Dataset[T] private[sql](
@transient val sparkSession: SparkSession,
@DeveloperApi @transient val queryExecution: QueryExecution,
encoder: Encoder[T])