Version 2.0 (September 2024)

Consult the SpP project documentation here.

Version 2.1 (November 2024)

Here is a detailed description of all the changes in version 2.1, which will be released in November:

Code-base:

• Addition of a new function for the market segment feature creation : [PO-1311]  
• Move of the target_computation class to code-base : [PO-1320]
• Addition of a new function for values isolation from a field using project variables : [PO-1366]
• Integration of a new function of the code base to be able to bin numerical features : [PO-1387]

Dataiku project

• Integration of a new data source for manual region mapping : [DEV] OptiPrice SpP manual data sources

The new “Manual_regions” dataset is first integrated from the compute_Price_drivers_features recipe, in which the update_manual_inputs() function is used to update the data with the new entries. Then, the synchronization recipe is applied to refresh the file with “Manual_regions_output”.

• New flow zone for Data drift analysis : [PO-1319]

that contains a new python recipe for preparing reference data, in which we can specify the number of versions to extract from the Features folder (using the output All_run_versions_dataset_output), and a standalone evaluation recipe to perform data drift analysis. 

• Split of Galden into its own family and properly update the variables to take in account the new family : [PO-1383]
• Refine algorithm by incorporating the feedback that was collected during our conversations with SpP PMs : [SpP] Refine core algorithm 

Version Sqo 1.0 (May 2025)

This version is linked to the migration of projects to the Syensqo Dataiku instance after the Eco/Sco separation.

A description of the main changes in this version is given below :

Code-base:

• Addition of a new class for data drift testing (DataDriftChecker) : [PO-769]  

Dataiku project

• Replacement of the standalone evaluation recipe with a new check in pricing_features_dataset for the Data drift analysis : [PO-769]  
• Integration of ICM data in the front-end dataset : [PO-1519]