Classification VIs
LabVIEW 2018 Analytics and Machine Learning Toolkit Help
Edition Date: July 2018
Part Number: 377059B-01
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Edition Date: July 2018
Part Number: 377059B-01
»View Product Info
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Owning Palette: Analytics and Machine Learning VIs
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 Classification VIs to initialize, train, evaluate, and deploy classification models that classify given sets of categories.
| Palette Object | Description |
|---|---|
| Deploy Classification Model | Deploys a trained classification model and returns predicted labels of input data. |
| Evaluate Classification Model | Evaluates a trained classification model by using new test data with labels. |
| Initialize Classification Model (LR) | Initializes the hyperparameters of the logistic regression (LR) algorithm. You can either set the hyperparameters or specify multiple values for each hyperparameter. If you specify multiple values for each hyperparameter, the Train Classification Model VI uses grid search to find the optimal set of hyperparameters. |
| Initialize Classification Model (NN) | Initializes the hyperparameters of the neural network (NN) algorithm. You can either directly set the hyperparameters or specify multiple values for each hyperparameter. If you specify multiple values for each hyperparameter, the Train Classification Model VI uses grid search to find the optimal set of hyperparameters. This VI supports single hidden layers only. |
| Initialize Classification Model (SVM) | Initializes the hyperparameters of the support vector machine (SVM) algorithm. You can either directly set the hyperparameters or specify multiple values for each hyperparameter. If you specify multiple values for each hyperparameter, the Train Classification Model VI uses grid search to find the optimal set of hyperparameters. |
| Set Classification Model | Sets properties for a trained classification model before deployment. |
| Train Classification Model | Trains a classification model. |
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