This page lists minor engine versions available to all
AML AI customers. For more information on engine version naming, see
the
engine version glossary entry.
aml-retail.default
This table lists the retail-specific engine versions.
Tuning |
Major |
Minor |
Description |
Release date |
Lifecycle stage |
v004 |
002 |
Latest version:
202406-000
|
- Additional data validation errors with more granular checks and corresponding actionable error messages
- Improved accuracy and better descriptions for existing data validation checks
- A bugfix for processing of alert events in the Risk Case Event table
- Improved reliability of training, prediction and backtesting operations for very large datasets, >> 20 million parties
- Reduction in time taken for tuning, that is creating an engine config
|
July 11, 2024 |
ACTIVE |
001 |
202402-000
|
- More sensitive skew metric for model and data quality monitoring.
- Bugfix for recall metrics.
|
April 25, 2024 |
ACTIVE |
000 |
202401-000
|
- Adds feature family Importance metric to the model metadata
|
March 12, 2024 |
ACTIVE |
202312-001
|
-
Improves usability of party supplementary data by allowing use of human readable party supplementary data IDs
-
Adds support for inheriting hyperparameters instead of re-tuning
|
March 1, 2024 |
DECOMMISSIONED |
202312-000
|
-
Supports datasets containing up to 130 million parties
-
Adds KYC and tenure features versus the previous version
|
December 1, 2023 |
ACTIVE |
v003 |
000 |
202312-000
|
-
Improves usability of party supplementary data by allowing use of human readable party supplementary data IDs
-
Adds support for inheriting hyperparameters instead of re-tuning
|
March 1, 2024 |
ACTIVE |
202311-000
|
-
Supports datasets containing up to 20 million parties
-
V003 adds improved labeling methodology versus previous versions
|
November 15, 2023 |
ACTIVE |
aml-commercial.default
This table lists the commercial-specific engine versions.
Tuning |
Major |
Minor |
Description |
Release date |
Lifecycle stage |
v004 |
002 |
Latest version:
202406-000
|
- Additional data validation errors with more granular checks and corresponding actionable error messages
- Improved accuracy and better descriptions for existing data validation checks
- A bugfix for processing of alert events in the Risk Case Event table
- Improved reliability of training, prediction and backtesting operations for very large datasets, >> 20 million parties
- Reduction in time taken for tuning, that is creating an engine config
|
July 11, 2024 |
ACTIVE |
001 |
202402-000
|
- More sensitive skew metric for model and data quality monitoring.
- Bugfix for recall metrics.
|
April 25, 2024 |
ACTIVE |
000 |
202401-001
|
- More reliable tuning performance, in particular for small datasets
|
March 13, 2024 |
ACTIVE |
202401-000
|
- Adds feature family Importance metric to the model metadata
|
March 12, 2024 |
DECOMMISSIONED |
202312-001
|
-
Improves usability of party supplementary data by allowing use of human readable party supplementary data IDs
-
Adds support for inheriting hyperparameters instead of re-tuning
|
March 1, 2024 |
DECOMMISSIONED |
202312-000
|
-
Supports datasets containing up to 130 million parties
-
Performance neutral versus the previous version
|
December 1, 2023 |
ACTIVE |
v003 |
000 |
202312-000
|
-
Improves usability of party supplementary data by allowing use of human readable party supplementary data IDs
-
Adds support for inheriting hyperparameters instead of re-tuning
|
March 1, 2024 |
ACTIVE |
202311-000
|
-
Supports datasets containing up to 20 million parties
-
V003 adds improved labeling methodology versus previous versions
|
November 15, 2023 |
ACTIVE |