extensionoutputnode properties

Extension Output node icon With the Extension Output node, you can analyze data and the results of model scoring using your own custom R or Python for Spark script. The output of the analysis can be text or graphical.

Note that many of the properties on this page are for streams from SPSS Modeler desktop.

Python for Spark example

import modeler.api
stream = modeler.script.stream()
node = stream.create("extension_output", "extension_output")
node.setPropertyValue("syntax_type", "Python")

python_script = """
import json
import spss.pyspark.runtime

cxt = spss.pyspark.runtime.getContext()
df = cxt.getSparkInputData()
schema = df.dtypes[:]
print df
"""

node.setPropertyValue("python_syntax", python_script)

R example

node.setPropertyValue("syntax_type", "R")
node.setPropertyValue("r_syntax", "print(modelerData$Age)")

Table 1. extensionoutputnode properties
`extensionoutputnode` properties	Data type	Property description
`syntax_type`	R Python	Specify which script runs: R or Python (R is the default).
`r_syntax`	string	R scripting syntax for model scoring.
`python_syntax`	string	Python scripting syntax for model scoring.
`convert_flags`	`StringsAndDoubles LogicalValues`	Option to convert flag fields.
`convert_missing`	flag	Option to convert missing values to the R `NA` value.
`convert_datetime`	flag	Option to convert variables with date or datetime formats to R date/time formats.
`convert_datetime_class`	`POSIXct POSIXlt`	Options to specify to what format variables with date or datetime formats are converted.
`output_to`	`Screen File`	Specify the output type (`Screen` or `File`).
`output_type`	`Graph Text`	Specify whether to produce graphical or text output.
`full_filename`	string	File name to use for the generated output.
`graph_file_type`	`HTML COU`	File type for the output file (.html or .cou).
`text_file_type`	`HTML TEXT COU`	Specify the file type for text output (.html, .txt, or .cou).