[jira] [Updated] (SPARK-11478) ML StringIndexer return inconsistent schema

2019-05-20 Thread Hyukjin Kwon (JIRA) 


 [ 
https://issues.apache.org/jira/browse/SPARK-11478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon updated SPARK-11478:
-
Labels: bulk-closed  (was: )

> ML StringIndexer return inconsistent schema
> ---
>
> Key: SPARK-11478
> URL: https://issues.apache.org/jira/browse/SPARK-11478
> Project: Spark
>  Issue Type: Bug
>  Components: ML
>Reporter: Yanbo Liang
>Priority: Minor
>  Labels: bulk-closed
>
> ML StringIndexer transform and transformSchema return inconsistent schema.
> {code}
> val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, 
> "a"), (5, "c")), 2)
> val df = sqlContext.createDataFrame(data).toDF("id", "label")
> val indexer = new StringIndexer()
>   .setInputCol("label")
>   .setOutputCol("labelIndex")
>   .fit(df)
> val transformed = indexer.transform(df)
> println(transformed.schema.toString())
> println(indexer.transformSchema(df.schema))
> The nullable of "labelIndex" return inconsistent value:
> StructType(StructField(id,IntegerType,false), 
> StructField(label,StringType,true), StructField(labelIndex,DoubleType,true))
> StructType(StructField(id,IntegerType,false), 
> StructField(label,StringType,true), StructField(labelIndex,DoubleType,false))
> {code}



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[jira] [Updated] (SPARK-11478) ML StringIndexer return inconsistent schema

2016-09-06 Thread Joseph K. Bradley (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-11478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Joseph K. Bradley updated SPARK-11478:
--
Priority: Minor  (was: Major)

> ML StringIndexer return inconsistent schema
> ---
>
> Key: SPARK-11478
> URL: https://issues.apache.org/jira/browse/SPARK-11478
> Project: Spark
>  Issue Type: Bug
>  Components: ML
>Reporter: Yanbo Liang
>Priority: Minor
>
> ML StringIndexer transform and transformSchema return inconsistent schema.
> {code}
> val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, 
> "a"), (5, "c")), 2)
> val df = sqlContext.createDataFrame(data).toDF("id", "label")
> val indexer = new StringIndexer()
>   .setInputCol("label")
>   .setOutputCol("labelIndex")
>   .fit(df)
> val transformed = indexer.transform(df)
> println(transformed.schema.toString())
> println(indexer.transformSchema(df.schema))
> The nullable of "labelIndex" return inconsistent value:
> StructType(StructField(id,IntegerType,false), 
> StructField(label,StringType,true), StructField(labelIndex,DoubleType,true))
> StructType(StructField(id,IntegerType,false), 
> StructField(label,StringType,true), StructField(labelIndex,DoubleType,false))
> {code}



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[jira] [Updated] (SPARK-11478) ML StringIndexer return inconsistent schema

2015-11-03 Thread Yanbo Liang (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-11478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yanbo Liang updated SPARK-11478:

Description: 
ML StringIndexer transform and transformSchema return inconsistent schema.
{code}
val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, "a"), 
(5, "c")), 2)
val df = sqlContext.createDataFrame(data).toDF("id", "label")
val indexer = new StringIndexer()
  .setInputCol("label")
  .setOutputCol("labelIndex")
  .fit(df)
val transformed = indexer.transform(df)

println(transformed.schema.toString())
println(indexer.transformSchema(df.schema))

The output:

StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), 
StructField(labelIndex,DoubleType,{color:red} true {color}))
StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), 
StructField(labelIndex,DoubleType,{color:red} false {color}))
{code}

  was:
ML StringIndexer transform and transformSchema return inconsistent schema.
{code}
val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, "a"), 
(5, "c")), 2)
val df = sqlContext.createDataFrame(data).toDF("id", "label")
val indexer = new StringIndexer()
  .setInputCol("label")
  .setOutputCol("labelIndex")
  .fit(df)
val transformed = indexer.transform(df)

println(transformed.schema.toString())
println(indexer.transformSchema(df.schema))

The output:

StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), 
StructField(labelIndex,DoubleType,{color:red}true{color}))
StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), 
StructField(labelIndex,DoubleType,{color:red}false{color}))
{code}


> ML StringIndexer return inconsistent schema
> ---
>
> Key: SPARK-11478
> URL: https://issues.apache.org/jira/browse/SPARK-11478
> Project: Spark
>  Issue Type: Bug
>  Components: ML
>Reporter: Yanbo Liang
>
> ML StringIndexer transform and transformSchema return inconsistent schema.
> {code}
> val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, 
> "a"), (5, "c")), 2)
> val df = sqlContext.createDataFrame(data).toDF("id", "label")
> val indexer = new StringIndexer()
>   .setInputCol("label")
>   .setOutputCol("labelIndex")
>   .fit(df)
> val transformed = indexer.transform(df)
> println(transformed.schema.toString())
> println(indexer.transformSchema(df.schema))
> The output:
> StructType(StructField(id,IntegerType,false), 
> StructField(label,StringType,true), 
> StructField(labelIndex,DoubleType,{color:red} true {color}))
> StructType(StructField(id,IntegerType,false), 
> StructField(label,StringType,true), 
> StructField(labelIndex,DoubleType,{color:red} false {color}))
> {code}



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[jira] [Updated] (SPARK-11478) ML StringIndexer return inconsistent schema

2015-11-03 Thread Yanbo Liang (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-11478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yanbo Liang updated SPARK-11478:

Description: 
ML StringIndexer transform and transformSchema return inconsistent schema.
{code}
val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, "a"), 
(5, "c")), 2)
val df = sqlContext.createDataFrame(data).toDF("id", "label")
val indexer = new StringIndexer()
  .setInputCol("label")
  .setOutputCol("labelIndex")
  .fit(df)
val transformed = indexer.transform(df)

println(transformed.schema.toString())
println(indexer.transformSchema(df.schema))

The output:

StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), StructField(labelIndex,DoubleType,true))
StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), StructField(labelIndex,DoubleType,false))
{code}

  was:
ML StringIndexer transform and transformSchema return inconsistent schema.
{code}
val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, "a"), 
(5, "c")), 2)
val df = sqlContext.createDataFrame(data).toDF("id", "label")
val indexer = new StringIndexer()
  .setInputCol("label")
  .setOutputCol("labelIndex")
  .fit(df)
val transformed = indexer.transform(df)

println(transformed.schema.toString())
println(indexer.transformSchema(df.schema))

The output:

StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), 
StructField(labelIndex,DoubleType,{color:red} true {color}))
StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), 
StructField(labelIndex,DoubleType,{color:red} false {color}))
{code}


> ML StringIndexer return inconsistent schema
> ---
>
> Key: SPARK-11478
> URL: https://issues.apache.org/jira/browse/SPARK-11478
> Project: Spark
>  Issue Type: Bug
>  Components: ML
>Reporter: Yanbo Liang
>
> ML StringIndexer transform and transformSchema return inconsistent schema.
> {code}
> val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, 
> "a"), (5, "c")), 2)
> val df = sqlContext.createDataFrame(data).toDF("id", "label")
> val indexer = new StringIndexer()
>   .setInputCol("label")
>   .setOutputCol("labelIndex")
>   .fit(df)
> val transformed = indexer.transform(df)
> println(transformed.schema.toString())
> println(indexer.transformSchema(df.schema))
> The output:
> StructType(StructField(id,IntegerType,false), 
> StructField(label,StringType,true), StructField(labelIndex,DoubleType,true))
> StructType(StructField(id,IntegerType,false), 
> StructField(label,StringType,true), StructField(labelIndex,DoubleType,false))
> {code}



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[jira] [Updated] (SPARK-11478) ML StringIndexer return inconsistent schema

2015-11-03 Thread Yanbo Liang (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-11478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yanbo Liang updated SPARK-11478:

Description: 
ML StringIndexer transform and transformSchema return inconsistent schema.
{code}
val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, "a"), 
(5, "c")), 2)
val df = sqlContext.createDataFrame(data).toDF("id", "label")
val indexer = new StringIndexer()
  .setInputCol("label")
  .setOutputCol("labelIndex")
  .fit(df)
val transformed = indexer.transform(df)

println(transformed.schema.toString())
println(indexer.transformSchema(df.schema))

The output:

StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), StructField(labelIndex,DoubleType,true))
StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), StructField(labelIndex,DoubleType,false))
{code}

  was:
ML StringIndexer transform and transformSchema return inconsistent schema.
{code}
val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, "a"), 
(5, "c")), 2)
val df = sqlContext.createDataFrame(data).toDF("id", "label")
val indexer = new StringIndexer()
  .setInputCol("label")
  .setOutputCol("labelIndex")
  .fit(df)
val transformed = indexer.transform(df)

StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), StructField(labelIndex,DoubleType,true))
StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), StructField(labelIndex,DoubleType,false))
{code}


> ML StringIndexer return inconsistent schema
> ---
>
> Key: SPARK-11478
> URL: https://issues.apache.org/jira/browse/SPARK-11478
> Project: Spark
>  Issue Type: Bug
>  Components: ML
>Reporter: Yanbo Liang
>
> ML StringIndexer transform and transformSchema return inconsistent schema.
> {code}
> val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, 
> "a"), (5, "c")), 2)
> val df = sqlContext.createDataFrame(data).toDF("id", "label")
> val indexer = new StringIndexer()
>   .setInputCol("label")
>   .setOutputCol("labelIndex")
>   .fit(df)
> val transformed = indexer.transform(df)
> println(transformed.schema.toString())
> println(indexer.transformSchema(df.schema))
> The output:
> StructType(StructField(id,IntegerType,false), 
> StructField(label,StringType,true), StructField(labelIndex,DoubleType,true))
> StructType(StructField(id,IntegerType,false), 
> StructField(label,StringType,true), StructField(labelIndex,DoubleType,false))
> {code}



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[jira] [Updated] (SPARK-11478) ML StringIndexer return inconsistent schema

2015-11-03 Thread Yanbo Liang (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-11478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yanbo Liang updated SPARK-11478:

Description: 
ML StringIndexer transform and transformSchema return inconsistent schema.
{code}
val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, "a"), 
(5, "c")), 2)
val df = sqlContext.createDataFrame(data).toDF("id", "label")
val indexer = new StringIndexer()
  .setInputCol("label")
  .setOutputCol("labelIndex")
  .fit(df)
val transformed = indexer.transform(df)

println(transformed.schema.toString())
println(indexer.transformSchema(df.schema))

The output:

StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), 
StructField(labelIndex,DoubleType,{color:red}true{color}))
StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), 
StructField(labelIndex,DoubleType,{color:red}false{color}))
{code}

  was:
ML StringIndexer transform and transformSchema return inconsistent schema.
{code}
val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, "a"), 
(5, "c")), 2)
val df = sqlContext.createDataFrame(data).toDF("id", "label")
val indexer = new StringIndexer()
  .setInputCol("label")
  .setOutputCol("labelIndex")
  .fit(df)
val transformed = indexer.transform(df)

println(transformed.schema.toString())
println(indexer.transformSchema(df.schema))

The output:

StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), StructField(labelIndex,DoubleType,true))
StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), StructField(labelIndex,DoubleType,false))
{code}


> ML StringIndexer return inconsistent schema
> ---
>
> Key: SPARK-11478
> URL: https://issues.apache.org/jira/browse/SPARK-11478
> Project: Spark
>  Issue Type: Bug
>  Components: ML
>Reporter: Yanbo Liang
>
> ML StringIndexer transform and transformSchema return inconsistent schema.
> {code}
> val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, 
> "a"), (5, "c")), 2)
> val df = sqlContext.createDataFrame(data).toDF("id", "label")
> val indexer = new StringIndexer()
>   .setInputCol("label")
>   .setOutputCol("labelIndex")
>   .fit(df)
> val transformed = indexer.transform(df)
> println(transformed.schema.toString())
> println(indexer.transformSchema(df.schema))
> The output:
> StructType(StructField(id,IntegerType,false), 
> StructField(label,StringType,true), 
> StructField(labelIndex,DoubleType,{color:red}true{color}))
> StructType(StructField(id,IntegerType,false), 
> StructField(label,StringType,true), 
> StructField(labelIndex,DoubleType,{color:red}false{color}))
> {code}



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[jira] [Updated] (SPARK-11478) ML StringIndexer return inconsistent schema

2015-11-03 Thread Yanbo Liang (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-11478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yanbo Liang updated SPARK-11478:

Description: 
ML StringIndexer transform and transformSchema return inconsistent schema.
{code}
val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, "a"), 
(5, "c")), 2)
val df = sqlContext.createDataFrame(data).toDF("id", "label")
val indexer = new StringIndexer()
  .setInputCol("label")
  .setOutputCol("labelIndex")
  .fit(df)
val transformed = indexer.transform(df)

println(transformed.schema.toString())
println(indexer.transformSchema(df.schema))

The nullable of "labelIndex" return inconsistent value:

StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), StructField(labelIndex,DoubleType,true))
StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), StructField(labelIndex,DoubleType,false))
{code}

  was:
ML StringIndexer transform and transformSchema return inconsistent schema.
{code}
val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, "a"), 
(5, "c")), 2)
val df = sqlContext.createDataFrame(data).toDF("id", "label")
val indexer = new StringIndexer()
  .setInputCol("label")
  .setOutputCol("labelIndex")
  .fit(df)
val transformed = indexer.transform(df)

println(transformed.schema.toString())
println(indexer.transformSchema(df.schema))

The output:

StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), StructField(labelIndex,DoubleType,true))
StructType(StructField(id,IntegerType,false), 
StructField(label,StringType,true), StructField(labelIndex,DoubleType,false))
{code}


> ML StringIndexer return inconsistent schema
> ---
>
> Key: SPARK-11478
> URL: https://issues.apache.org/jira/browse/SPARK-11478
> Project: Spark
>  Issue Type: Bug
>  Components: ML
>Reporter: Yanbo Liang
>
> ML StringIndexer transform and transformSchema return inconsistent schema.
> {code}
> val data = sc.parallelize(Seq((0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, 
> "a"), (5, "c")), 2)
> val df = sqlContext.createDataFrame(data).toDF("id", "label")
> val indexer = new StringIndexer()
>   .setInputCol("label")
>   .setOutputCol("labelIndex")
>   .fit(df)
> val transformed = indexer.transform(df)
> println(transformed.schema.toString())
> println(indexer.transformSchema(df.schema))
> The nullable of "labelIndex" return inconsistent value:
> StructType(StructField(id,IntegerType,false), 
> StructField(label,StringType,true), StructField(labelIndex,DoubleType,true))
> StructType(StructField(id,IntegerType,false), 
> StructField(label,StringType,true), StructField(labelIndex,DoubleType,false))
> {code}



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