// Jest Snapshot v1, https://goo.gl/fbAQLP exports[` spec creating model configuration renders the component 1`] = `

Configure model

Set the index fields that you want to find anomalies for by defining the model features. You can also set other model parameters such as category field and shingle size for more granular views. After you set the model features and other optional parameters, you can preview your anomalies from a sample feature output. Learn more (opens in a new tab or window)

Features

A feature is the field in your index that you use to check for anomalies. You can add up to 5 features. Learn more (opens in a new tab or window)

Enter a descriptive name. The name must be unique within this detector. Feature name must contain 1-64 characters. Valid characters are a-z, A-Z, 0-9, -(hyphen) and _(underscore).
The aggregation method determines what constitutes an anomaly. For example, if you choose min(), the detector focuses on finding anomalies based on the minimum values of your feature.

You can add up to 4 more features.

Categorical fields

Split a single time series into multiple time series based on categorical fields. You can select up to 2. Learn more (opens in a new tab or window)

There are no available category fields for the selected index

Advanced settings

Sample anomalies


You can preview anomalies based on sample feature input
You can preview how your anomalies may look like from sample feature output and adjust the feature settings as needed. Learn more (opens in a new tab or window)
`; exports[` spec editing model configuration renders the component 1`] = `

Edit model configuration

Set the index fields that you want to find anomalies for by defining the model features. You can also set other model parameters such as category field and shingle size for more granular views. After you set the model features and other optional parameters, you can preview your anomalies from a sample feature output. Learn more (opens in a new tab or window)

Features

A feature is the field in your index that you use to check for anomalies. You can add up to 5 features. Learn more (opens in a new tab or window)

Enter a descriptive name. The name must be unique within this detector. Feature name must contain 1-64 characters. Valid characters are a-z, A-Z, 0-9, -(hyphen) and _(underscore).
The aggregation method determines what constitutes an anomaly. For example, if you choose min(), the detector focuses on finding anomalies based on the minimum values of your feature.

You can add up to 4 more features.

Categorical fields

Split a single time series into multiple time series based on categorical fields. You can select up to 2. Learn more (opens in a new tab or window)

There are no available category fields for the selected index
You can't change the category fields after you create the detector.

Advanced settings

`;