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Configuration
This section explains each of the properties in the configuration blade.

Property | Description |
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Collection | This associates the Agent to a specific Collection (default to that of the current Data Stream). |
Property | Description |
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Dataset | This is the training file used to train the algorithm. |
Separator Character | The character used to separate data values in the training file. |
Features | 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.
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Property | Description |
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Number of Clusters | The number of classes into which you want to divide your data. |
Property | Description |
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Deterministic Seed | 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.
Name | Description |
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Input | This endpoint is used to receive data from the parent Agent |
Output | Events received by the parent Agent are assigned a cluster and are made available to this endpoint. |
Last modified 1yr ago