Highlights
Scenarios
Scenarios allow the user to run different cases without overriding the base case. A scenario is the result of an algorithm with varying inputs "not written back to the database" (it is stored in the database, but not on the entity/signal.)
Library
The Library allows users to easily build Entity sets, Scopes, and Contexts.
Analyze
Maps
Ability to sort static data on legend by value and count. Added a filter option on numeric data to filter out data and to set the color scale by a min/max.
Data
Able to search Alias in the Stats View.
Predict
DCA
Added the alias to the DCA list.
ML
Added transformers Box Cox, Box Tidwell and Box Cox Tidwell. These transformers help bring MVR into our ML model.
Under Post Training - Observed vs Predicted, a new table view has been added that displays the unique observed value (unique x value) and displays the corresponding predicted value (y value) from the train, validation, and test datasets if available.
Scenarios
Scenarios have different data sets to run different data in Workflows. Example, High and Low Commodity Prices. It allows easy comparison of scenarios.
Overview Button to collapse the screen.
Build
Workflows
Added the ability to add labels and description to workflow schedules from the Schedules tab.
Ability to select multiple scenarios in a workflow.
Option to append saved data.
Data Model
Sources
Ability to choose a Scope when you run a Data Integration set.
Data Integrations - Added a duration column to the Previous Runs table.
P# Updates
ScenarioEntities()
ScenarioScope()
ScearioStringValue()
ScenarioValue()
CoordinateCRS()
_Signal()