Algorithms available in Statistica's Deep Learning Module
Article ID: KB0081032
Updated On:
| 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.
Issue/Introduction
Algorithms available in Statistica's Deep Learning Module
Resolution
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.
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