Algorithms available in Statistica's Deep Learning Module
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Article ID: KB0081032
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Products
Versions
Spotfire Statistica
13.2 and higher
Description
Statistica release version 13.2 included Microsoft Cognitive Toolkit. Microsoft Cognitive Toolkit, previously named CNTK, is a deep learning framework developed by Microsoft Research. Statistica can handle binary and multi-class classification (Logistic Regression and Maximum Entropy) problems directly in Statistica using the Deep Learning Classification Node.
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To access this Classification Node, please follow the below steps:
Ensure you have a Workspace open
With a Workspace open, go to the 'Data Mining Tab'
In the 'Other' section of 'Data Mining Tab', you will see 'Deep Learning'
Drop down 'Deep Learning' and choose Classifcation
This node will now appear on your Workspace for use
For the other models, such as Convolution Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short Term Memory (LSTM), users will need to use the 'Generic' node, found under Deep Learning (see steps above to navigate to this menu). Users will need to write their own custom code for this.
Issue/Introduction
Algorithms available in Statistica's Deep Learning Module