[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[jkbradley]

Github user jkbradley commented on the issue:

https://github.com/apache/spark/pull/17373
  
@WeichenXu123  Can you please add "[ML]" to the PR title?


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[felixcheung]

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https://github.com/apache/spark/pull/17373
  
I think this will change the output of `summary` on `spark.mlp` in R right?


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[MrBago]

Github user MrBago commented on the issue:

https://github.com/apache/spark/pull/17373
  
Thanks for the changes @WeichenXu123. I don't have any other comments 
@jkbradley do you want to have a look?


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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cc @yanboliang @jkbradley 


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cc @jkbradley @yanboliang 


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[LeoIV]

Github user LeoIV commented on the issue:

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Right 🙈  That explains why it works perfectly fine in with my classifier 
:-)


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[WeichenXu123]

Github user WeichenXu123 commented on the issue:

https://github.com/apache/spark/pull/17373
  
They are, I think some values are something like 4.7532244532E-10 the 
display truncate them.
Thanks

Sent from my iPhone

On 15 Jul 2017, at 12:35 AM, Leonard Hövelmann 
> wrote:


Alright, thanks. But have a look at the probabilities. They aren’t in 
[0,1] either.

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[LeoIV]

Github user LeoIV commented on the issue:

https://github.com/apache/spark/pull/17373
  
Alright, thanks. But have a look at the probabilities. They aren’t in 
[0,1] either.


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[WeichenXu123]

Github user WeichenXu123 commented on the issue:

https://github.com/apache/spark/pull/17373
  
RawPrediction is not probability
It's range is from -inf to inf
Softmax(raw predictions) get probabilities
It's range is from 0 to 1
Thanks!

Sent from my iPhone

On 14 Jul 2017, at 6:38 AM, Leonard Hövelmann 
> wrote:


@WeichenXu123 I deleted my last comment 
because I wasn't quite sure, if I had no mistakes at other places. As I 
described above, I performed your changes in version 2.1. For small datasets, I 
get raw predictions, that are not in [0, 1]. You should be able to check it, 
using this small test case:

import org.apache.spark.ml.classification.MultilayerPerceptronClassifier
import org.apache.spark.ml.linalg.Vectors
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
import org.apache.spark.sql.types.{IntegerType, StructType}
import org.apache.spark.sql.{Row, SparkSession}

/**
  * Created by Leonard Hövelmann 
(leonard.hoevelm...@adesso.de) on 
14.07.2017.
  */
object TestProb {

  def main(args: Array[String]) = {
val spark = SparkSession.builder().master("local[*]").getOrCreate()

val rowSchema = new StructType().add("class", 
IntegerType).add("features", org.apache.spark.ml.linalg.SQLDataTypes.VectorType)

val testData: RDD[Row] = spark.sparkContext.parallelize(Seq(
  new GenericRowWithSchema(Array(0, Vectors.dense(Array(0.1, 0.2, 0.3, 
0.4, 0.5))), rowSchema).asInstanceOf[Row],
  new GenericRowWithSchema(Array(0, Vectors.dense(Array(0.1, 0.2, 0.3, 
0.4, 0.5))), rowSchema).asInstanceOf[Row],
  new GenericRowWithSchema(Array(1, Vectors.dense(Array(0.1, 0.5, 0.3, 
0.4, 0.5))), rowSchema).asInstanceOf[Row],
  new GenericRowWithSchema(Array(1, Vectors.dense(Array(0.1, 0.5, 0.3, 
0.4, 0.5))), rowSchema).asInstanceOf[Row],
  new GenericRowWithSchema(Array(2, Vectors.dense(Array(0.1, 0.2, 0.8, 
0.4, 0.5))), rowSchema).asInstanceOf[Row],
  new GenericRowWithSchema(Array(2, Vectors.dense(Array(0.1, 0.2, 0.8, 
0.4, 0.5))), rowSchema).asInstanceOf[Row]
))

val testDataDf = spark.sqlContext.createDataFrame(testData, rowSchema)

val mlp = new 
MultilayerPerceptronClassifier().setFeaturesCol("features").setLabelCol("class").setLayers(Array(5,
 4, 3))

val mlpModel = mlp.fit(testDataDf)

mlpModel.transform(testDataDf).show(6)
  }

}


Using this, I get the following results:


+-++++--+
|class|features|   rawPrediction| 
probability|prediction|

+-++++--+
|0|[0.1,0.2,0.3,0.4,...|[52.5097295377110...|[1.0,1.1880726027...|  
 0.0|
|0|[0.1,0.2,0.3,0.4,...|[52.5097295377110...|[1.0,1.1880726027...|  
 0.0|
|1|[0.1,0.5,0.3,0.4,...|[22.9478511752010...|[4.03649486150668...|  
 1.0|
|1|[0.1,0.5,0.3,0.4,...|[22.9478511752010...|[4.03649486150668...|  
 1.0|
|2|[0.1,0.2,0.8,0.4,...|[6.36424366031029...|[4.39122384367774...|  
 2.0|
|2|[0.1,0.2,0.8,0.4,...|[6.36424366031029...|[4.39122384367774...|  
 2.0|

+-++++--+


Does this work in your code?

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[LeoIV]

Github user LeoIV commented on the issue:

https://github.com/apache/spark/pull/17373
  
@WeichenXu123 I deleted my last comment because I wasn't quite sure, if I 
had no mistakes at other places. As I described above, I performed your changes 
in version 2.1. For **small** datasets, I get raw predictions, that are not in 
[0, 1]. You should be able to check it, using this small test case:

```
import org.apache.spark.ml.classification.MultilayerPerceptronClassifier
import org.apache.spark.ml.linalg.Vectors
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
import org.apache.spark.sql.types.{IntegerType, StructType}
import org.apache.spark.sql.{Row, SparkSession}

/**
  * Created by Leonard Hövelmann (leonard.hoevelm...@adesso.de) on 
14.07.2017.
  */
object TestProb {

  def main(args: Array[String]) = {
val spark = SparkSession.builder().master("local[*]").getOrCreate()

val rowSchema = new StructType().add("class", 
IntegerType).add("features", org.apache.spark.ml.linalg.SQLDataTypes.VectorType)

val testData: RDD[Row] = spark.sparkContext.parallelize(Seq(
  new GenericRowWithSchema(Array(0, Vectors.dense(Array(0.1, 0.2, 0.3, 
0.4, 0.5))), rowSchema).asInstanceOf[Row],
  new GenericRowWithSchema(Array(0, Vectors.dense(Array(0.1, 0.2, 0.3, 
0.4, 0.5))), rowSchema).asInstanceOf[Row],
  new GenericRowWithSchema(Array(1, Vectors.dense(Array(0.1, 0.5, 0.3, 
0.4, 0.5))), rowSchema).asInstanceOf[Row],
  new GenericRowWithSchema(Array(1, Vectors.dense(Array(0.1, 0.5, 0.3, 
0.4, 0.5))), rowSchema).asInstanceOf[Row],
  new GenericRowWithSchema(Array(2, Vectors.dense(Array(0.1, 0.2, 0.8, 
0.4, 0.5))), rowSchema).asInstanceOf[Row],
  new GenericRowWithSchema(Array(2, Vectors.dense(Array(0.1, 0.2, 0.8, 
0.4, 0.5))), rowSchema).asInstanceOf[Row]
))

val testDataDf = spark.sqlContext.createDataFrame(testData, rowSchema)

val mlp = new 
MultilayerPerceptronClassifier().setFeaturesCol("features").setLabelCol("class").setLayers(Array(5,
 4, 3))

val mlpModel = mlp.fit(testDataDf)

mlpModel.transform(testDataDf).show(6)
  }

}
```

Using this, I get the following results:

```

+-++++--+
|class|features|   rawPrediction| 
probability|prediction|

+-++++--+
|0|[0.1,0.2,0.3,0.4,...|[52.5097295377110...|[1.0,1.1880726027...|  
 0.0|
|0|[0.1,0.2,0.3,0.4,...|[52.5097295377110...|[1.0,1.1880726027...|  
 0.0|
|1|[0.1,0.5,0.3,0.4,...|[22.9478511752010...|[4.03649486150668...|  
 1.0|
|1|[0.1,0.5,0.3,0.4,...|[22.9478511752010...|[4.03649486150668...|  
 1.0|
|2|[0.1,0.2,0.8,0.4,...|[6.36424366031029...|[4.39122384367774...|  
 2.0|
|2|[0.1,0.2,0.8,0.4,...|[6.36424366031029...|[4.39122384367774...|  
 2.0|

+-++++--+
```


Does this work in your code?


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[WeichenXu123]

Github user WeichenXu123 commented on the issue:

https://github.com/apache/spark/pull/17373
  
The probability should always between 0 and 1
Send me your test code and test data to help me find out where is wrong.
In my own test the result is ok.

Sent from my iPhone

On 12 Jul 2017, at 11:57 PM, Leonard Hövelmann 
> wrote:


I checked out version 2.1.2-SNAPSHOT and performed your changes there (for 
me locally). It works, however the probabilites are not in range [-1,1]. Is 
this intended?

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[LeoIV]

Github user LeoIV commented on the issue:

https://github.com/apache/spark/pull/17373
  
I checked out version 2.1.2-SNAPSHOT and performed your changes there (for 
me locally). It works, however the probabilites are not in range [-1,1]. Is 
this intended?


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[WeichenXu123]

Github user WeichenXu123 commented on the issue:

https://github.com/apache/spark/pull/17373
  
@LeoIV sorry for delay! I will update code soon! 


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[LeoIV]

Github user LeoIV commented on the issue:

https://github.com/apache/spark/pull/17373
  
I'd like to express my demand for this feature 


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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https://github.com/apache/spark/pull/17373
  
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 * This patch **fails Spark unit tests**.
 * This patch **does not merge cleanly**.
 * This patch adds no public classes.


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[alwaysprep]

Github user alwaysprep commented on the issue:

https://github.com/apache/spark/pull/17373
  
In which version this is going to be available on PySpark?


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[WeichenXu123]

Github user WeichenXu123 commented on the issue:

https://github.com/apache/spark/pull/17373
  
cc @yanboliang thanks!


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[WeichenXu123]

Github user WeichenXu123 commented on the issue:

https://github.com/apache/spark/pull/17373
  
@nicodri Hi, I am modifying this PR and will commit this week! Thanks! 


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

[nicodri]

Github user nicodri commented on the issue:

https://github.com/apache/spark/pull/17373
  
@WeichenXu123 are you keep working on this own or do you want me to take it 
over? I'm also interested in adding this feature. thanks!


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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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[GitHub] spark issue #17373: [SPARK-12664] Expose probability in mlp model

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started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/74965/testReport)**
 for PR 17373 at commit 
[`1f0da4e`](https://github.com/apache/spark/commit/1f0da4e8ebff8509ac3bc6f06004cbecff6356e9).


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