Configuration

This section explains each of the properties in the configuration blade. 
General
Property
Description
Collection
This associates the Agent to a specific Collection (default to that of the current Data Stream).
Refer to Collections and Stream Hosts to understand more about Collections.
Training
Property
Description
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.
Name: Feature name
Type: Data type of feature
Exclude: Tick the checkbox to exclude from training
Algorithm Parameters
Property
Description
Number of Clusters
The number of classes into which you want to divide your data.
Model Options
Property
Description
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.
Input Mapping
Each parent Agent attribute is mapped against a feature in the training file so that test data matches the training data.
Refer to Setup Input Mappings for step-by-step instructions. 
Endpoints
Name
Description
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. 

Property	Description
Collection	This associates the Agent to a specific Collection (default to that of the current Data Stream).

Property	Description
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. Name: Feature name Type: Data type of feature Exclude: Tick the checkbox to exclude from training

Property	Description
Number of Clusters	The number of classes into which you want to divide your data.

Property	Description
Deterministic Seed	Set this to a whole number for repeatable/deterministic results across multiple trainings.

Name	Description
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