Re: MLLib- Probabilities with LogisticRegression

2015-06-30 Thread Peter Rudenko

Hi Klaus, you can use new ml api with dataframe:

val model = (new 
LogisticRegresion).setInputCol("fetures").setProbabilityCol("probability").setOutputCol("prediction").fit(data)


Thanks,
Peter Rudenko

On 2015-06-30 14:00, Klaus Schaefers wrote:

Hello,

is there a way to get the during the predict() phase also the class 
probabilities like I would get in sklearn?



Cheers,

Klaus

--

--

Klaus Schaefers
Senior Optimization Manager

Ligatus GmbH
Hohenstaufenring 30-32
D-50674 Köln

Tel.:  +49 (0) 221 / 56939 -784
Fax:  +49 (0) 221 / 56 939 - 599
E-Mail: klaus.schaef...@ligatus.com 
Web: www.ligatus.de 

HRB Köln 56003
Geschäftsführung:
Dipl.-Kaufmann Lars Hasselbach, Dipl.-Kaufmann Klaus Ludemann, 
Dipl.-Wirtschaftsingenieur Arne Wolter




MLLib- Probabilities with LogisticRegression

2015-06-30 Thread Klaus Schaefers
Hello,

is there a way to get the during the predict() phase also the class
probabilities like I would get in sklearn?


Cheers,

Klaus

-- 

-- 

Klaus Schaefers
Senior Optimization Manager

Ligatus GmbH
Hohenstaufenring 30-32
D-50674 Köln

Tel.:  +49 (0) 221 / 56939 -784
Fax:  +49 (0) 221 / 56 939 - 599
E-Mail: klaus.schaef...@ligatus.com
Web: www.ligatus.de

HRB Köln 56003
Geschäftsführung:
Dipl.-Kaufmann Lars Hasselbach, Dipl.-Kaufmann Klaus Ludemann,
Dipl.-Wirtschaftsingenieur Arne Wolter