Saving a model build in R or Python in the repository for re-use

KostasBonikos

Typically in Rapidminer, we can save the resulting models from algorithms by using a simple "Store" operator.

 

We can then double-click those models and see their contents and we can also drop them into a new process and use them to score new data.

 

We can do this also when these models have been built in R or Python with the only difference that we cannot see inside the model artifacts. For example, if we drop and double-click a model build in Python or R, we get a fileobject without much description.

However, the model is there and can be used to score data without re-training.

 

See the example below:

 

Here, we have a gradient boosted trees model built in python and saved to the repository.

 

When trying to preview it, we get this:

 

However, if we build another process where we bring the model artifact in and apply it to data, it works!

 

 

FYI, the code used for scoring was:

 

 

Rahul_M

What was the operator used to build the Apply Model (3) ? I haven't found an operator capable of accepting Python model as input

MartinLiebig

Hey @Rahul_M ,

this article is a bit outdated. Please check the python learner operator,it covers this tasks in an easier way.

Cheers,

Martin