Model repository
First Claim
1. A method for updating statistical data models in a model repository organized into three levels including a project level, a diagram level, and a model level, the model repository having one or more index structures, each index structure including one or more attributes associated with the statistical data models, the one or more attributes describing statistical data model components contained within the statistical data models, the method comprising:
- receiving, using one or more processors, a statistical data model; and
updating, using the one or more processors, a model repository index structure such that;
when updating a main-type index structure, a new record is created and appended to the main-type index structure, the new record including the one or more model attributes, a model folder name, and an export time, andwhen updating a tree-type index structure, a list is created using any splitting variables associated with the model, wherein a splitting variable is a predictor variable, wherein a predictor variable defines a group within a tree-type index structure, and wherein a new record is created and appended to the tree-type index structure, the new record including a model tree path name and the first splitting variable on the splitting variable list.
0 Assignments
0 Petitions
Accused Products
Abstract
A model repository is provided for storing selected data models generated by a data mining application. The model repository may include one or more index data structures for storing attributes of the models within the model repository. A user may then search through the one or more indexes in order to find a model that suits his or her needs.
-
Citations
15 Claims
-
1. A method for updating statistical data models in a model repository organized into three levels including a project level, a diagram level, and a model level, the model repository having one or more index structures, each index structure including one or more attributes associated with the statistical data models, the one or more attributes describing statistical data model components contained within the statistical data models, the method comprising:
-
receiving, using one or more processors, a statistical data model; and updating, using the one or more processors, a model repository index structure such that; when updating a main-type index structure, a new record is created and appended to the main-type index structure, the new record including the one or more model attributes, a model folder name, and an export time, and when updating a tree-type index structure, a list is created using any splitting variables associated with the model, wherein a splitting variable is a predictor variable, wherein a predictor variable defines a group within a tree-type index structure, and wherein a new record is created and appended to the tree-type index structure, the new record including a model tree path name and the first splitting variable on the splitting variable list. - View Dependent Claims (2, 3, 4, 5)
-
-
6. A system for updating statistical data models in a model repository organized into three levels including a project level, a diagram level, and a model level, the model repository having one or more index structures, each index structure including one or more attributes associated with the statistical data models, the one or more attributes describing statistical data model components contained within the statistical data models, the system comprising:
-
one or more processors; one or more computer-readable storage mediums containing instructions configured to cause the one or more processors to perform operations including; receiving a statistical data model; and updating a model repository index structure such that; when updating a main-type index structure, a new record is created and appended to the main-type index structure, the new record including the one or more model attributes, a model folder name, and an export time, and when updating a tree-type index structure, a list is created using any splitting variables associated with the model, wherein a splitting variable is a predictor variable, wherein a predictor variable defines a group within a tree-type index structure, and wherein a new record is created and appended to the tree-type index structure, the new record including a model tree path name and the first splitting variable on the splitting variable list. - View Dependent Claims (7, 8, 9, 10)
-
-
11. A computer-program product for updating statistical data models in a model repository organized into three levels including a project level, a diagram level, and a model level, the model repository having one or more index structures, each index structure including one or more attributes associated with the statistical data models, the one or more attributes describing statistical data model components contained within the statistical data models, the computer-program product being tangibly embodied in a machine-readable storage medium, and including instructions operable to cause a data processing apparatus to:
-
receive a statistical data model; and update a model repository index structure such that; when updating a main-type index structure, a new record is created and appended to the main-type index structure, the new record including the one or more model attributes, a model folder name, and an export time, and when updating a tree-type index structure, a list is created using any splitting variables associated with the model, wherein a splitting variable is a predictor variable, wherein a predictor variable defines a group within a tree-type index structure, and wherein a new record is created and appended to the tree-type index structure, the new record including a model tree path name and the first splitting variable on the splitting variable list. - View Dependent Claims (12, 13, 14, 15)
-
Specification