Model Configurations: Static Model

When you select the Static Model modeling method Model > Configurations, the Model Properties area of the <output> tab contains the following elements. For each output there is a separate tab.

See Model Configurations (ASCMO-DYNAMIC), for a description of the Output Properties area and the button row on the bottom of the window.

Training Labels

Assign the labels you want to train the model on. If you use multiple labels, all data associated with at least one of the labels is used.

Assign a label by double-clicking the field and typing the name. Select the dataset from the list of suggestions.

Use the x on the label or Del to remove the label.

Validation Labels

Using a validation datatset for model selection is not available.

Static Model Type

Select the Static model type you want to use.

See Static Model Types for more information about the model types.

Model Properties Edit

Click to edit the parameters of the model.

See NARX Model Types for more information about the model properties.

Highlight Model Deviations

If activated the model deviation will be highlighted in red in Closed the plot .

Further settings for the highlighting are displayed:

Anomaly Percentile

Enter the percentile of reconstruction errors that are considered normal. If validation datasets are used for model selection, this value is calculated based on validation data, otherwise based on training data. The corresponding value is mapped to 0.5 in the anomaly score.

Smoothing

Enter the window size value for data points as steps for a median filter. For the prediction of an anomaly, the signals can be smoothed. This can lead to better results.

Smoothing Window Centered

Activate if you want the smoothing window to be centered around the evaluation point, i.e. future points are also taken into account. If deactivated, only past points are used for calculations in the smoothing window.

Rounding Threshold

Enter an anomaly prediction threshold below which the model prediction is automatically set to 0, and 1 otherwise. The threshold is displayed in the Receiver Operating Characteristic (Model > Anomaly Detection: Receiver Operating Characteristic).

Inputs used in Model Training

This area lists all inputs of the model. You can activate/deactivate the checkbox of an input to include/exclude it in the model training.

By default, all inputs are included.