AutoSpec
AssigneeJaxon, Inc.
InventorsGregory HARMAN, Robert Jones
Life of this patent
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Abstract
Apparati and methods for designing and evaluating machine learning (ML) and other computer systems at the metadata level. A unique graphical meta-level formalism for representing these systems is employed, which supports both human and machine evaluation, simulation, and evolution of alternate architectures and designs. Each graph comprises a plurality of nodes and a plurality of edges connecting the nodes. Each node represents an operation that produces at least one outbound feature, while each edge represents a set of features. The graph (or a subgraph within the graph) can be reconfigured by applying a transform operation to the graph or subgraph.
Claims20
A graph for representing a computer system, said graph comprising a plurality of nodes and a plurality of edges connecting the nodes, wherein:
- each node represents a computerized operation that produces or consumes at least one feature;
- and
- each edge represents a set of features.
A computer implemented method for reconfiguring a graph representing a computer system, said graph comprising a plurality of nodes and a plurality of edges connecting the nodes, wherein each node represents a computerized operation that produces at least one output feature, and each edge represents sets of features, said method comprising applying a transform operation to the graph.
At least one computer readable medium containing computer programming instructions for reconfiguring a graph representing a computer system, said graph comprising a plurality of nodes and a plurality of edges connecting the nodes, wherein each node represents a computerized operation that produces at least one output feature, and each edge represents a set of features, said computer programming instructions comprising applying a transform operation to the graph.
Dependencies are inferred from the claim text.