US 2023/0409954 A1 · Dynamic Multi-tenant Data Platform for Machine Learning Modeling and Visualization

Abstract

A method, apparatus, system, and computer program code for dynamically modeling multi-tenant data in a machine learning platform. A recommendation engine receives a first data set from a user. The recommendation engine characterizes the first data set to determine data attributes and data characteristics of the first data set. The recommendation engine aligns the data attributes of the first data set with a second data set according to an ontology. Based on the data characteristics of the first data set, the recommendation engine identifies a set of pre-trained models that was trained from training parameters selected from data attributes and data characteristics of a second data set. The recommendation engine recommends the set of pre-trained models to the user.

Claims24

Dependent claims

A method for dynamically modeling multi-tenant data in a machine learning platform, the method comprising:

receiving, by a computer system, a first data set from a user;
characterizing, by the computer system, the first data set to determine data attributes and data characteristics of the first data set;
aligning, by the computer system, the data attributes of the first data set with a second data set according to an ontology;
identifying, by a recommendation engine in the computer system, based on the data characteristics of the first data set, a set of pre-trained models that was trained from training parameters selected from data attributes and data characteristics of a second data set;
and
recommending, by the recommendation engine, the set of pre-trained models to the user.

3 more elements

A computer system for dynamically modeling multi-tenant data in a machine learning platform, the computer system comprising:

a storage device configured to store program instructions;
and
one or more processors operably connected to the storage device and configured to execute the program instructions to cause the system to perform a method comprising:
receiving a first data set from a user;
characterizing the first data set to determine data attributes and data characteristics of the first data set;
aligning the data attributes of the first data set with a second data set according to an ontology;
identifying, based on the data characteristics of the first data set, a set of pre-trained models that was trained from training parameters selected from data attributes and data characteristics of a second data set;
and
recommending the set of pre-trained models to the user.

6 more elements

A computer program product for dynamically modeling multi-tenant data in a machine learning platform, the computer program product comprising:

a computer-readable storage medium having program instructions embodied thereon to perform the steps of:
receiving a first data set from a user;
characterizing the first data set to determine data attributes and data characteristics of the first data set;
aligning the data attributes of the first data set with a second data set according to an ontology;
identifying, based on the data characteristics of the first data set, a set of pre-trained models that was trained from training parameters selected from data attributes and data characteristics of a second data set;
and
recommending the set of pre-trained models to the user.

4 more elements

Dependencies are inferred from the claim text.

Dynamic Multi-tenant Data Platform for Machine Learning Modeling and Visualization

Life of this patent

Dynamic Multi-tenant Data Platform for Machine Learning Modeling and Visualization

Life of this patent

Abstract

Claims24