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
Label Field
The value to forecast.
Interpolate Time 
Tick to calculate Date-time values for the forecast values. 
These properties apply when Interpolate Time is checked.
Property
Description
Timestamp Field
Timestamp field in the data used to interpolate future Date-time values
Frequency 
Time interval between two values.
Unit
Unit of time interval options: Seconds, Minutes, Hours, Days, Weeks, Months, Years.
Algorithm Parameters
Property
Description
Forecast Horizon
The number of predictions to make in advance.
Series Length
The number of data points to remember and use to perform a forecast.
Window Size
The number of data points in a regular cycle.
Confidence
The confidence level of forecasting.
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.
Endpoints
Name
Description
Input
This endpoint is used to receive data from the parent Agent.
Output
Events received by the parent Agent and forecast values 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
Label Field	The value to forecast.
Interpolate Time	Tick to calculate Date-time values for the forecast values.

Property	Description
Timestamp Field	Timestamp field in the data used to interpolate future Date-time values
Frequency	Time interval between two values.
Unit	Unit of time interval options: Seconds, Minutes, Hours, Days, Weeks, Months, Years.

Property	Description
Forecast Horizon	The number of predictions to make in advance.
Series Length	The number of data points to remember and use to perform a forecast.
Window Size	The number of data points in a regular cycle.
Confidence	The confidence level of forecasting.

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 and forecast values are made available to this endpoint.

Last modified 1yr ago