This section explains each of the properties in the configuration blade.
This associates the Agent to a specific Collection (default to that of the current Data Stream).
This is the training file used to train the algorithm.
The character used to separate data values in the training file.
The grid displays features and lets the user select the data type of features and also gives the option to exclude certain features from the training.
Number of Clusters
The number of classes into which you want to divide your data.
Set this to a whole number for repeatable/deterministic results across multiple trainings.
Before configuring the Agent, please ensure that its input endpoint is connected to a parent Agent which will be sending data to it.
Each parent Agent attribute is mapped against a feature in the training file so that test data matches the training data.
This endpoint is used to receive data from the parent Agent
Events received by the parent Agent are assigned a cluster and are made available to this endpoint.