Analytics and Machine Learning VIs
- Updated2023-02-21
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Analytics and Machine Learning VIs
July 2018, 377060B-01
Requires: Analytics and Machine Learning Toolkit. This topic might not match its corresponding palette in LabVIEW depending on your operating system, licensed product(s), and target.
Use the Analytics and Machine Learning VIs to create machine learning applications that discover patterns in large amounts of data and generate models that recognize patterns in new data.
You must activate the LabVIEW Real-Time Module to use the Analytics and Machine Learning VIs on a real-time target.
The VIs on this palette can return general LabVIEW error codes or specific Analytics and Machine Learning error codes.
| Subpalette | Description |
|---|---|
| Anomaly Detection VIs | Use the Anomaly Detection VIs to initialize, train, and deploy unsupervised anomaly detection models that detect anomalies in unlabeled data. |
| Classification VIs | Use the Classification VIs to initialize, train, evaluate, and deploy classification models that classify given sets of categories. |
| Clustering VIs | Use the Clustering VIs to initialize, train, evaluate, and deploy clustering models that group data items into clusters. Data items in the same cluster share more similarities than those in other clusters. |
| Data VIs | Use the Data VIs to save data for model training or deployment and view data changes from the Feature Manipulation VIs. |
| Feature Manipulation VIs | Use the Feature Manipulation VIs to train and deploy feature reduction and normalization models. |
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