Machine learning archive mechanism using immutable storage
An apparatus and method for providing an immutable audit trail for machine learning applications is described herein. The audit trail is preserved by recording the machine learning models and data in a data structure in immutable storage such as a WORM device, a cloud storage facility, or in a blockchain. The immutable audit trail is important for providing bank auditors with the reasons for lending or account opening reasons, for example. A graphical user interface is described to allow the archive of machine learning models to be viewed.
1. An apparatus for archiving machine learning models, the apparatus comprising:
a special purpose multi-core server electrically connected to a storage facility;
a blockchain connected to the special purpose multi-core server;
an application that executes code on the special purpose multi-core server;
a machine learning engine that receives data from the application and returns a result to the application; and
a machine learning model integrated with the machine learning engine, wherein the machine learning model updates periodically;
wherein the machine learning model is stored in the blockchain by the special purpose multi-core server when the machine learning model is updated.
2. The apparatus of claim 1 further comprising customer data that is stored in the blockchain by the special purpose multi-core server.
3. The apparatus of claim 2 wherein the customer data relates to banking.
4. The apparatus of claim 2 wherein the customer data is stored each time the machine learning engine is called by the application.
5. The apparatus of claim 2 wherein the result is stored in the blockchain by the special purpose multi-core server.
6. The apparatus of claim 2 wherein the machine learning model is updated when the customer data is used to train the machine learning model.
7. An apparatus for archiving machine learning models, the apparatus comprising:
a special purpose multi-core server;
a blockchain stored on a write-once-read-many hardware storage facility electrically connected to the special purpose multi-core server;
an application that executes code on the special purpose multi-core server;
a machine learning engine that receives data from the application and returns a result to the application; and
a machine learning model integrated with the machine learning engine, wherein the machine learning model updates periodically;
wherein the machine learning model is stored in the blockchain stored on the write-once-read-many hardware storage facility by the special purpose multi-core server when the machine learning model is updated.
8. The apparatus of claim 7 further comprising customer data that is stored in the blockchain stored on the write-once-read-many hardware storage facility by the special purpose multi-core server.
9. The apparatus of claim 8 wherein the customer data relates to banking.
10. The apparatus of claim 8 wherein the customer data is stored each time the machine learning engine is called by the application.
11. The apparatus of claim 8 wherein the result is stored in the blockchain of the write-once-read-many hardware storage facility by the special purpose multi-core server.
12. The apparatus of claim 8 wherein the machine learning model is updated when the customer data is used to train the machine learning model.