Analytics
You can use the Analytics module to create and manage analytics flows. Analytics flows enable you to process and analyze data at the edge.
A flow includes a series of connected processors, using at least one of the following types:
- Input: Retrieves data from a tag/topic, database, or generator. See Input Processors for more details.
- Function: Processes the input data using built-in:
See Create an Analytics Flow and Add Processors and Processor Connections to learn more.
Important: You may see the following error message when working with Analytics: "Http failure response for /analytics/v2/version: 0 Unknown Error". If you see this message, disable any ad-blockers your browser may have.
You can build a flow manually by adding processors and then connecting them with one of the following connection types.
- Events (individual data source): Used for both input/function and function/output connections. Makes the receiving processor react to each individual data value immediately.
- Values (combined data sources): Used only for input/function connections. Makes the function processor wait for values from all of the combined data sources before reacting. For example, if the function processor compares values from input processors A and B, it will wait for a value from both A and B before performing the comparison.
You can also add a flow in a more automated way. See Create an Analytics Flow for details.
The Analytics module also enables you to use Machine Learning models for prediction, classification, and anomaly detection. You can create and save a model from TensorFlow. A saved model contains a complete TensorFlow program, including weights and computation.
The Analytics UI includes the following panes:
- Instances, where you can:
- Create and manage processors and flows
- View the Debug panel
- Organize your flows into groups
- Instances Table, where you get tabular view of Instance flows created
- Models, where you upload and remove models.
Review Analytics Guides to see how to leverage different analytics capabilities and functions.
To access Analytics:
- Log in to Litmus Edge.
- From the Navigation panel, select Analytics. The Analytics canvas appears.
