Generators Page

Generator Grid

The Generator grid lists all defined generators.

OneStream SensibleAI Forecast Feature Package Manager Generators tab showing a table of event generators with columns for description, feature type, feature selection settings, scenario features, and initialization parameters.

For each generator, the grid shows:

Display Name – Required and unique for each generator to ensure clear identification in packages for Feature Package Manager.

Description – Explanation of the generator’s purpose.

Feature Type – Indicates whether the generator is an Event or a Library Feature.

Init Parameters – The configuration for the generator:

For Event generators, this includes event name, locations, and event transformation settings.

For Library Features, the parameters depend on the specific generator type selected.

Bypass Feature Selection – When enabled, features from this generator skip standard feature selection, ensuring they always participate in modeling; this is typically used for features that must always be present.

Scenario Features – When enabled, marks the features as scenario‑only, meaning they are used for scenario modeling rather than as standard predictive features.

View Generator

After selecting a generator, the upper‑right View drop-down provides different perspectives depending on whether the generator is a Library Feature or an Event.

Library Feature – Packages View

Shows all packages that currently include the selected library feature.

Library Feature – Map View

Displays any locations associated with the library feature if the selected library feature contains locations.

This is most useful for location‑aware features that incorporate geographic information.

If the feature does not use locations, this view will be empty.

OneStream SensibleAI Forecast Feature Package Manager screen showing the China Holidays package with a map view selected from a dropdown, displaying a map of China and a table of holiday generators below.

Event – Packages View

Lists all packages that reference the selected event generator.

OneStream SensibleAI Forecast Feature Package Manager screen showing the China Holidays package with a packages view selected from a dropdown, displaying grid of packages.

Event – Map View

Visualizes all locations defined for the event generator.

Each point represents a location where the event occurs.

OneStream SensibleAI Forecast Feature Package Manager screen showing the President’s Day event with a map view selected from a dropdown, displaying a map of America and a table of occurrences below.

Event – Calendar View

Displays the occurrences for the selected event over time.

You can navigate by month and year to verify that the event is scheduled correctly across the full planning horizon.

OneStream SensibleAI Forecast Feature Package Manager screen showing the China Holidays package with a calendar view selected from a dropdown, displaying a calendar with listed and a table of occurrences below.

Event – Timeline View

Plots all occurrences for the event along a single horizontal time axis.

A zoom slider allows you to focus on shorter time windows, and double‑clicking resets the view to show the full series.

OneStream SensibleAI Forecast Feature Package Manager screen showing the Holi event with a timeline view selected from a dropdown, displaying a timeline of occurrences and a table of occurrences below.

Slider to scope the timeline view.

Lower-right Panel

When an Event is selected – Occurrences

The Occurrences table surfaces the schedule for the selected event.

Each row represents a specific rule or pattern and includes:

Start Date – The first date on which the occurrence rule begins.

End Date – The last date the rule applies (if provided).

Interval – The spacing between occurrences (for example, an interval of 2 with a daily frequency means “every two days”).

Frequency – How often the event repeats (Daily, Weekly, Monthly, Yearly, etc.).

Month – For relative rules, the month or months when the event can occur.

Day of Week – For relative rules, the specific day(s) of the week (for example, Monday or Friday).

OneStream SensibleAI Forecast Feature Package Manager screen showing Easter event with a timeline view selected from a dropdown, displaying a timeline of occurrences and a table of occurrences below.

When a Library Feature is selected – Generator Features

The Generator Features view lists the resulting features (columns) created by the selected library generator.

Each record describes one feature, including its name and descriptive metadata.

The exact schema is specific to the chosen generator type, giving insight into what features will be added to your project when the generator is used.

OneStream SensibleAI Forecast Feature Package Manager screen showing the Weather generator, displaying a table of features below.

Generator Actions

Create Generator

The Create Generator workflow leads you through five structured steps:

To navigate

OneStream SensibleAI Forecast Feature Package Manager Generators tab showing a list of event generators with empty detail panels on the right and an add button highlighted at the bottom left.

Step 1 – Generator Type

Choose whether the generator will be an Event or a Library Feature.

This selection filters the available generator options and determines which configuration options are presented later.

Create Generator dialog showing generator type selection set to Library, with instructions for choosing a generator type and Save and Cancel buttons.

Step 2 – Generator Selection

Select a specific generator from the list of online generators, filtered by the type selected in Step 2.

Only valid, supported generator implementations are displayed.

Create Generator dialog showing generator information with Weather Generator selected from a dropdown, along with step guidance for confirming the generator selection and Save and Cancel buttons.

Step 3 – Generator Configuration

Configure the Init Parameters dedicated to the selected generator.

For generators that do not require configuration, you will see a “No Configuration Required” confirmation step.

Create Generator dialog showing configuration step with Weather Data Generator selected, including options to configure initialization parameters and Save and Cancel buttons.

Step 4 – Assign to Packages

Optionally assign the new generator to one or more existing packages.

This allows newly created generators to become immediately available in downstream packaging and export workflows.

Create Generator dialog showing package assignment step with selected packages including Australia Holidays and Canada Holidays, and options to add more items, along with Save and Cancel buttons.

Step 5 – Generator Information

Enter a unique Display Name and a descriptive summary.

Configure Bypass Feature Selection and Scenario Modeling flags to control how the resulting features are treated in modeling and scenario analysis.

Create Generator dialog showing generator information step with fields for generator display name, optional description, and bypass feature selection setting, along with Save and Cancel buttons.

Select Save to create the generator.

Edit Generator

When you select Edit Generator, a dialog opens that lets you revise the generator’s display name and description, toggle the Bypass Feature Selection and Scenario Modeling options, and manage its package assignments. The dialog contains two tables: the left table lists packages that are not currently assigned to the generator, and the right table lists packages that are already assigned. You can move packages between the left and right tables to remove or add assignments in bulk, which is especially useful when refining existing generators

OneStream SensibleAI Forecast Feature Package Manager Generators tab showing US Columbus Day selected, with a table of event generators on the left and occurrence details including start date, frequency, and month displayed on the right.

Delete Generator

Permanently removes the generator from Feature Package Manager.

Because generators can be used in multiple packages, delete actions should be coordinated to avoid unintentionally removing generator assignment from existing packages.

OneStream SensibleAI Forecast Feature Package Manager Generators tab showing a delete confirmation dialog for the US Columbus Day generator, indicating affected packages and warning that the action cannot be undone, with Cancel and Delete buttons.

Copy Generator

Creates a new generator from an existing one by:

Requiring a new, unique Display Name.

Optionally copying the package assignments from the original generator.

Copy Generator dialog for US Columbus Day (US Holiday) showing fields for name and description, with an option set to Yes for applying the copied generator to the same packages, and Save and Cancel buttons.

Create Occurrence (Events only)

Reference for Creating and Editing Occurrences

OneStream SensibleAI Forecast Feature Package Manager Generators tab showing New Year’s Eve selected, with a table of event generators on the left and occurrence details including start date, frequency, and month displayed on the right.

Creating an occurrence in Feature Package Manager allows you to define new scheduling rules for an event generator. The dialog supports multiple occurrence types, such as fixed date ranges or relative patterns like “first Monday of a month.” For each type, certain fields, typically Start Date and Frequency are required, while others such as End Date, Count, or shoulder windows may be optional depending on the pattern you select. The form clearly indicates which inputs are mandatory and which are optional so you can configure valid and predictable event schedules.

Edit Occurrence

To navigate

Opens the existing occurrence with all fields pre‑populated.

You can adjust any of the fields (for example, dates, intervals, frequency, or relative day‑of‑week/month) while respecting the same required/optional rules as during creation.

Delete Occurrence

Permanently removes the selected occurrence rule from the event generator.

This action cannot be undone, once deleted, the corresponding event pattern is removed from future scheduling.

Generator Merge

Feature Packages can have generators that have the same init configurations. This occurs for Event Generator when they have the same Event Name. Also for Library Features when they have the same init configuration. When the Feature Package is applied to a project, the generators will merge into. An example would be two different Event Generators that have the same Event Name ‘Christmas’.

Edit Package dialog for “My New Package” showing fields for name and description, along with lists of generators not in the package and generators in the package, with controls to move items between lists and Save and Cancel buttons.

After clicking save, you will get a warning that the Package, has duplicate Generators.

OneStream SensibleAI Forecast Feature Package Manager screen showing “My New Package” selected, with a warning dialog indicating duplicate initialization parameters for a generator, and an OK button to acknowledge the message.

These warnings are shown after Creating/Editing/Copying a Package or Generator if a Package has Generators that would be merged when applied to a SensibleAI Forecast project.