Standalone script example: Saving and loading a model

Standalone scripts are useful for stream manipulation. Suppose that you have two streams—one that creates a model and another that uses graphs to explore the generated rule set from the first stream with existing data fields. A standalone script for this scenario might look something like this:

taskrunner = modeler.script.session().getTaskRunner()

# Modify this to the correct Modeler installation Demos folder.
# Note use of forward slash and trailing slash.
installation = "C:/Program Files/IBM/SPSS/Modeler/19/Demos/"

# First load the model builder stream from file and build a model
druglearn_stream = taskrunner.openStreamFromFile(installation + "streams/druglearn.str", True)
results = []
druglearn_stream.findByType("c50", None).run(results)

# Save the model to file
taskrunner.saveModelToFile(results[0], "rule.gm")

# Now load the plot stream, read the model from file and insert it into the stream
drugplot_stream = taskrunner.openStreamFromFile(installation + "streams/drugplot.str", True)
model = taskrunner.openModelFromFile("rule.gm", True)
modelapplier = drugplot_stream.createModelApplier(model, "Drug")

# Now find the plot node, disconnect it and connect the
# model applier node between the derive node and the plot node
derivenode = drugplot_stream.findByType("derive", None)
plotnode = drugplot_stream.findByType("plot", None)
drugplot_stream.disconnect(plotnode)
modelapplier.setPositionBetween(derivenode, plotnode)
drugplot_stream.linkBetween(modelapplier, derivenode, plotnode)
plotnode.setPropertyValue("color_field", "$C-Drug")
plotnode.run([])