1.1.0

Oct 21, 2024

In the Definitions step on the Transaction Data Scope tab, settings of the "Use Transaction Source Data" checkbox are properly saved.

PFPCS-7345

It is possible to compute product similarity for up to 1 million products.

PFPCS-7390

It is now possible to evaluate the similarity on a subset of the initial data source to make "new products" be evaluated regarding their distance to the existing groups.

PFPCS-7408

Group names are now displayed in singular only (to avoid duplication of words in group names). 

PFPCS-7490

In the Similarity Grouping Dashboard tab in the table “List of similarity groups”, the number of products has been added.

PFPCS-7500

The default layout preferences are now part of the accelerator.

PFPCS-7608

New products evaluation takes into account also numerical and categorical fields.

PFPCS-7683

In the “New product scope” tab, there are two ways to assign new products from the previously computed most similar products: based on majority, or based on most similar products.

PFPCS-7684

A Sankey chart displays how the product groups are extended with the new products affectations.

PFPCS-7685

When installing the accelerator from PlatformManager, engine configuration steps are now the first steps of the accelerator installation. This is to prevent errors when trying to run a model while the accelerator installation has not been completed.

PFPCS-7705

There is now a table “SimilarityTableExtended” as the “SimilarityTable”, including all products from the original scope and additional products.

PFPCS-7998

In the Similarity Grouping Dashboard tab, "Product details" have been added.

PFPCS-8141

Unified naming convention for the logics and elements has been applied.

PFPCS-8149

productID and CoProductIDs were added as keys in the table similarityTableExtended.

PFPCS-8279

Names of tables and fields are not escaped in SQL queries.

PFPCS-7580

In the Product Grouping step in the Product Overview tab, the table “Product Details” misses numerical attributes defined earlier.

PFPCS-7763

The New Products step fails with an error "LoadData [via NewQueryUtils]" as there are missing the specific configurator and logics to deal with loading transactional data for new products.

PFPCS-7930

The Product Grouping step fails with an "int64" value error as the column used as “ProductID” is automatically parsed into int64 if the ID is a numerical-like string.

PFPCS-7962

When a product has only one similar product, there is an error. 

PFPCS-7987

When setting a filter for the New Product Scope tab in Step 4 Product Grouping, the New Product step fails.

PFPCS-7988

Index error in Python calculation: the New Products step fails with an error "Length of values (237) does not match length of index (3)".

PFPCS-8024

Group names include “Nan” for null values, which makes no sense.

PFPCS-8104

There is an error “Singular matrix" when extending for more products.

PFPCS-8132

Some numerical similarities are not computed normally.

PFPCS-8163

Numerical similarity is computed incorrectly.

PFPCS-8166

Number of points displayed in network chart "Similarity chart" has been limited to 40.

PFPCS-8175

Numbers in the output tables are not properly formatted.

PFPCS-8180

The accelerator computed pseudo-inverse of covariance matrix of numerical features for each set of candidates when labelling new products. Instead, it should be computed once, for numerical features of all existing products.

PFPCS-8212

Unable to update the Model Class label to reflect the required prefix.

PFPCS-8311