Scripts in GE Digital APM provide a way for you to utilize the Python programming language to create scripts for supervised machine learning or to create scripts that can receive data from inputs, make calculations, and then return one or more outputs.
Scripts can be used within Cognitive Analytics to expand the functionality of cognitions. Some baseline scripts are provided for your use, and you can create additional scripts. After you create and save a script, you can use either a Classifier or a Script node in Cognitive Analytics to pass values into the script and to receive calculated values out of the script.
When creating a new script, the following script types are available:
Note: Machine learning and fuzzy logic scripts may also be called classifiers.
The following table summarizes the data requirements for each type of script.
Data Requirements |
Machine Learning ( training new) |
Machine Learning (testing existing) |
Fuzzy Logic |
General Script |
---|---|---|---|---|
Set of observations |
X |
X |
X |
X |
Standard List |
X |
X |
X |
|
Labeled data corresponding to the standard list (each observation requires a label) |
X |
|
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