Google Inc.

Robbie Alan Haertel

Gideon S Mann

Wei-Hao Lin

Robert Kaplow

Travis H K Green

Gang Fu

Long Fei

Ryan Michael Lefever

Deborah Weisser

William Eric Province

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a plurality of different types of predictive models using training data, wherein each of the predictive models implements a different machine learning technique. One or more weights are obtained wherein each weight is associated with an answer category in the plurality of examples. A weighted accuracy is calculated for each of the predictive models using the one or more weights.

Predictive model evaluation and training based on utility

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for analyzing lineage data. One of the methods includes obtaining data access event information; generating a lineage graph from the data access event information; receiving a data lineage request, wherein the data lineage request is a request for lineage data for a specified data set or a specified software process; traversing the lineage graph to identify nodes and edges in the lineage graph that satisfy the data lineage request; and providing data identifying the nodes and edges that satisfy the data lineage request in response to the request.

Data lineage analysis

A system and method for large-scale data schema analysis and quality assurance is disclosed. A data schema may be received and compiled into an internal representation for analysis. The schema's information may also be exposed via an application programming interface. Using the schema's application programming interface along with a provided requirement, the schema may be analyzed and/or corrected for quality, consistency and interoperability.

Method for large-scale data schema analysis and quality assurance

Growing community of inventors

San Jose, CA, United States of America

Robbie Alan Haertel