Abstract: Systems and methods for rule-based machine learning model promotion are disclosed. In accordance with aspects, a method may include providing a rules engine that defines a software object model, and an evaluation framework. A model metadata file having a format that is based on the software object model can be generated. The model metadata file can store metadata associated with the model. A model rule file having a format based on the software object model and that defines rule criteria for evaluating the metadata can be generated. The rules engine can instantiate a software object based on the software object model and parse the model rule file to determine rule criteria and parse the model metadata file to determine a parameter value associated with the rule criteria. The rules engine can evaluate the parameter value against a rule and provide a promotion decision for the model.

Abstract: A method for providing a query-based diagrammatic presentation of data includes generating a filter element that defines a set of groups and includes a set of declarative queries that define information to be included in the set of groups. The filter element is applied to a data source, which includes performing the set of declarative queries on the data source, thereby generating a set of query results for each of the groups. A diagram is generated that includes a set of shapes representing the set of groups, and a set of nodes nested within each of the shapes, wherein the nodes for each group are determined based on the query results for that group.

Abstract: A method for providing a query-based diagrammatic presentation of data includes generating a filter element that defines a set of groups and includes a set of declarative queries that define information to be included in the set of groups. The filter element is applied to a data source, which includes performing the set of declarative queries on the data source, thereby generating a set of query results for each of the groups. A diagram is generated that includes a set of shapes representing the set of groups, and a set of nodes nested within each of the shapes, wherein the nodes for each group are determined based on the query results for that group.

Abstract: A system and method for managing the recognition and processing of gestures. A system provides a mechanism to detect conflicts between gesture recognizers and resolve the conflicts. A runtime system receives notifications from gesture recognizers in the form of requests for resources or actions. A conflict detector determines whether a conflict with another gesture recognizer exists. If a conflict exists, a conflict resolver determines a resolution. This may include determining a winning gesture recognizer and deactivating the losing gesture recognizers. A design time system statically validates gesture recognizers based on static state machines corresponding to each gesture recognizer.