Apply PMML predictor model in python

Question

Knime has generated for me a PMML model. At this time I want to apply this model to a python process. What is the right way to do this?

More in depth: I develop a django student attendance system. The application is already so mature that I have time to implement the 'I'm feeling lucky' button to automatically fill an attendance form. Here is where PMML comes in. Knime has generated a PMML model that predicts student attendance. Also, thanks to django for being so productive that I time for this great work ;)

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What is exactly the problem? You can export the PMML model from KNIME with PMML Writer. One of the PMML processing libs in Python is [Augustus](https://code.google.com/p/augustus/) ([help to use it](http://174.129.21.118/augustus/Primer/html/basic-walkthrough-gaslog-consumer.html#run-augustus-as-a-model-consumer)). (I have no experience with Augustus.) — Gábor Bakos, Mar 23 '13 at 13:39
@GáborBakos, I have not experience with Augustus. I will like to call a simple prediction function: `prediction = please_predict( model.xml, dict )` . I this that I will code my self a function to do it, it is not complex for a decision tree. — dani herrera, Mar 23 '13 at 18:01
It seems it (Augustus) can perform easy prediction, although you have to make a few transformations (convert to xml, convert back from xml). You can hide this to such a detail behind the function you provided. — Gábor Bakos, Mar 23 '13 at 20:17
@GáborBakos, I'm waiting for someone with Augustus expertice to know best steps to deploy it. — dani herrera, Mar 23 '13 at 20:52
ok, have you check the documentation I linked? It does not seem to be too complicated. — Gábor Bakos, Mar 23 '13 at 20:53

score 2 · Accepted Answer · answered Mar 24 '13 at 15:13

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Finally I have wrote my own code. Be free to contribute or fork it:

https://github.com/ctrl-alt-d/lightpmmlpredictor

answered Mar 24 '13 at 15:13

dani herrera

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score 2 · Answer 2 · answered Jun 05 '13 at 18:21

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The code for Augustus, to score PMML models in Python, is at https://code.google.com/p/augustus/

answered Jun 05 '13 at 18:21

Paco

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Does Augustus support Association Model? Because I am getting AssociationModel has not been implemented yet error. – codersofthedark Jun 30 '13 at 19:20

PredictFuture · Answer 3 · 2019-07-26T11:00:28.640

You could use PyPMML to apply PMML in Python, for example:

from pypmml import Model

model = Model.fromFile('the/pmml/file/path')
result = model.predict(data)

The data could be dict, json, Series or DataFrame of Pandas.

If you use PMML in PySpark, you could use PyPMML-Spark, for example:

from pypmml_spark import ScoreModel

model = ScoreModel.fromFile('the/pmml/file/path')
score_df = model.transform(df)

The df is a DataFrame of PySpark.

For more info about other PMML libraries, be free to see: https://github.com/autodeployai

Apply PMML predictor model in python

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