You must run the profile node before you can open the profile or modeling nodes to view and make changes to the segments.
Right-click the profile node for your pipeline and select Open.
The profile view includes the Advanced Filter pane and a table listing each segment.
You can filtera set of specified criteria that are applied to data in order to identify the subset of data for a subsequent operation, such as continued processing. the displayed segments by segment name or by the number of time seriesan aggregation of transactional data into specified time intervals and sorted according to unique combinations of the default attributes (BY variables) in each segment.
The table listing the segments shows the segment name and the number of time series within each segment. For External Segmentation, the segment names come from the _SEG_ value in the data source.
_SEG_ attribute,
which is where they are defined in the data source.Right-click the modeling node for your pipeline and select Open. The segments are listed in the table on the right. Each segment in the pipeline has its own nested pipeline.
You can filter the segments shown based on the following columns:
_DEMAND_CLASS or _SEG_Number
of Time SeriesStatusMAPEUse these tools to customize the attributes displayed in the Advanced Filter.
Opens Filter Settings for selecting which attributes should be displayed in the Advanced Filter, and in what order.
Expands each attribute so that all values are visible.
Collapses each attribute so that no values are visible.
These attributes are explained below.
The following icons are listed above the segment table. If you right-click a segment, each each of these actions are available in a context menu.
The table listing the segments shows following information for each segment.
By default, the name of the segment comes from the source. For External Segmentation, the source is the value of the _SEG_ variable from the imported attributes. For Demand Classification, the source is the value of the _DEMAND_CLASS variable, based on the characteristics of the time series.
The segment name can be changed in the profile node.
The original value of the segment name. This name cannot be changed in the pipeline.
This column shows the distribution of time series for all of the segments.
It is common to have some empty segments in the Demand Classification pipeline.
This is the nested pipeline that is assigned to each segment.
External
SegmentationEach pipeline is assigned
using the Default pipeline setting for the
External Segmentation Modeling node. If the value is changed after
running the pipeline, it does not change the assigned pipeline for
each segment. To change the assigned pipeline to the new default setting,
select one or more segments and click .
After successfully running
the segmented pipeline, if you reset the default pipeline, the modeling
node and the following nodes show a status of Out-of-date.
If you open the modeling node, the individual segments show a status
of Completed. However,
the nodes that are Out-of-date should
be run again.
Demand
ClassificationEach pipeline is determined by the patterns detected in each time series, using the best template for each classification. This can be changed to any other template, including any custom templates available for your site. You can also open the pipeline to modify the settings to the modeling node, or add other modeling nodes.
To make specific
changes to the pipeline for a segment, see Customizing Pipelines for Each Segment. If you make any changes to a segment’s pipeline,
the pipeline name indicates Custom in
the modeling node.
Each segment has one of the following status indications.
Created —
This value is assigned to all segments when a segmented pipeline is
first created. The Status cell is empty.Pending —
The pipeline is waiting for other processing to complete before it
can start execution.Running —
The pipeline for the segment is running.Modified —
A change has been applied to the pipeline for the segment. The pipeline
must be run again.Failed —
The pipeline has completed with errors. Open the pipeline for the
segment, check the location of the error, and open the log.Canceled —
Pipeline execution has been canceled. Completed —
The pipeline run has completed successfully.
Completed if the other
segments completed successfully. This is necessary for the modeling
node to attain a status of Successful.
Subsequent data refreshes can populate the segment with time series. You can open the pipeline for an empty segment and modify it. This changes the segment’s
status to Modified. To return the segment’s
status to Completed, right-click the
segment and select Run pipeline.
Always run segments with zero time series from the modeling node. If you open the segment’s pipeline and run it, the pipeline fails.
Any changes you make
to the pipeline for a segment changes the segment’s status
to Modified. The pipeline
must be run again.
To make changes to the pipeline for each segment, follow these steps.
Some pipeline templates in The Exchange are not available for use in a segment pipeline. In External Segmentation Modeling, you can replace the pipeline for a segment with Demand Classification. The External Segmentation template is not available as a replacement for any segment. In Demand Classification modeling, segmented pipelines are not available for replacement.
Modified.For Demand Classification, do not use Reset to default. This sets the pipeline to Auto-forecasting. The default assignments for each segment is listed in Demand Classification Templates.