Kaspersky Machine Learning for Anomaly Detection
- About Kaspersky Machine Learning for Anomaly Detection
- What's new
- Basic concepts of Kaspersky MLAD
- Kaspersky MLAD architecture
- Common deployment scenarios
- Telemetry and event data flow diagram
- Ports used by Kaspersky MLAD
- Installing and removing the application
- Installing the application
- Updating the application
- Backing up the application
- Rolling back the application to the previous installed version
- Scenario for restoring Kaspersky MLAD from a backup
- Getting started
- Starting and stopping Kaspersky MLAD
- Updating Kaspersky MLAD certificates
- First startup of Kaspersky MLAD
- Removing the application
- Kaspersky MLAD web interface
- Connecting to Kaspersky MLAD and terminating a user session
- Changing a user account password
- Selecting the localization language for the Kaspersky MLAD web interface
- Licensing the application
- Processing and storing data in Kaspersky MLAD
- System administrator tasks
- Managing user accounts
- Manage roles
- Managing incident notifications
- Configuring Kaspersky MLAD
- Configuring the main settings of Kaspersky MLAD
- Configuring the security settings of Kaspersky MLAD
- Configuring the Anomaly Detector service
- Configuring the Keeper service
- Configuring the Mail Notifier service
- Configuring the Similar Anomaly service
- Configuring the Stream Processor service
- Configuring the HTTP Connector
- Configuring the MQTT Connector
- Configuring the AMQP Connector
- Configuring the OPC UA Connector
- Configuring the KICS Connector
- Configuring the CEF Connector
- Configuring the WebSocket Connector
- Configuring the Event Processor service
- Configuring the statuses and causes of incidents
- Configuring logging of Kaspersky MLAD services
- Configuring time intervals for displaying data
- Configuring how the Kaspersky MLAD main menu is displayed
- Export and import of Kaspersky MLAD settings
- Managing assets and tags
- Creating an asset in the asset tree
- Changing the parameters of an asset in the asset tree
- Create tag
- Adding a tag to an asset
- Editing a tag
- Moving assets and tags
- Deleting an asset or tag
- Checking the current structure of tags
- Uploading tag and asset configuration to the system
- Saving tag and asset configuration to a file
- Working with the main menu
- Scenario: working with Kaspersky MLAD
- Viewing summary data in the Dashboard section
- Viewing incoming data in the Monitoring section
- Viewing data in the History section
- Viewing data in the Time slice section
- Viewing data for a specific preset in the Time slice section
- Selecting a specific branch of the ML model in the Time slice section
- Selecting a date and time interval in the Time slice section
- Navigating through time in the Time slice section
- Configuring how graphs are displayed in the Time slice section
- Working with events and patterns
- Working with incidents and groups of incidents
- Scenario: analysis of incidents
- Viewing incidents
- Viewing the technical specifications of a registered incident
- Viewing incident groups
- Studying the behavior of the monitored asset at the moment when an incident was detected
- Adding a status, cause, expert opinion or note to an incident or incident group
- Exporting incidents to a file
- Managing ML models
- Scenario: working with ML models
- Working with markups
- Working with imported ML models
- Working with manually created ML models
- Cloning an ML model
- Working with ML model templates
- Changing the parameters of an ML model
- Training a neural network element of an ML model
- Viewing the training results of an ML model element
- Preparing an ML model for publication
- Publishing an ML model
- Starting and stopping ML model inference
- Viewing the data flow graph of an ML model
- Removing an ML model
- Managing presets
- Managing services
- Troubleshooting
- When connecting to Kaspersky MLAD, the browser displays a certificate warning
- The hard drive has run out of free space
- The operating system restarted unexpectedly
- Cannot connect to the Kaspersky MLAD web interface
- Graphs are not displayed in the History and Monitoring sections
- Events are not transmitted between Kaspersky MLAD and external systems
- Cannot load data to view in the Event Processor section
- Data is incorrectly processed in the Event Processor section
- Events are not displayed in the Event Processor section
- Previously created monitors and the specified attention settings are not displayed in the Event Processor section
- A markup result is not displayed
- A Trainer service stopped message is displayed
- Training of an ML model element completed with an error
- The localization language for Help needs to be changed before connecting to the application
- Contacting Technical Support
- Limitations
- Appendix
- Settings of a .env configuration file
- Settings and example of the Excel file containing tag and asset configuration
- Example JSON file containing a preset configuration
- Example JSON file containing a configuration for the Event Processor service
- Viewing the Kaspersky MLAD log
- Special characters of regular expressions
- Cipher suites for secure TLS connection
- Glossary
- Information about third-party code
- Trademark notices
Working with the main menu > Managing ML models > Working with ML model templates > Editing an ML model template
Editing an ML model template
Editing an ML model template
You can edit the settings of a created ML model template.
System administrators and users who have the Edit model templates permission from the Manage ML models group of rights can edit ML model templates.
To edit an ML model template:
- In the main menu, select the Models section.
- In the asset tree, select the template that you want to edit.
A list of options appears on the right.
- In the upper-right corner of the window, click the Edit button.
- In the Name field, enter the new template name.
You can enter up to 100 characters.
By default, a template is assigned a name in the format
Template_<ML model name>_<date and time of template creation>
. - To change the names of the template tags, in the Template tag name column specify the new names for the relevant tags.
You can specify a template tag name different from the tag names in the Assets section of the administrator menu. Template tags and tags in the Assets section are mapped based on the IDs of the ML model tags, which you can specify when creating an ML model from a template.
- Click the Save button.
Article ID: 265439, Last review: Dec 6, 2023