extensionoutputnode properties

The Extension Output node enables you to 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. The output is added to the Output tab of the manager pane; alternatively, the output can be redirected to a file.

Python for Spark example

#### script example for Python for Spark
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

#### script example for R
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).