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Module: mlmd.proto

ML Metadata proto module.

Classes

class Artifact: An artifact represents an input or an output of individual steps in a ML

class ArtifactType: A user defined type about a collection of artifacts and their properties that

class Association: An association represents the relationship between executions and contexts.

class Attribution: An attribution represents the relationship between artifacts and contexts.

class ConnectionConfig: A connection configuration specifying the persistent backend to be used with

class Context: A context defines a group of artifacts and/or executions. It captures the

class ContextType: A user defined type about a collection of contexts and their properties that

class Event: An event records the relationship between artifacts and executions. When an

class Execution: An execution describes a component run or a step in an ML workflow along with

class ExecutionType: A user defined type about a collection of executions and their properties that

class FakeDatabaseConfig: An in-memory database configuration for testing purpose.

class MetadataStoreClientConfig: A connection configuration to use a MLMD server as the persistent backend.

class MySQLDatabaseConfig: A connection configuration to use a MySQL db instance as a MLMD backend.

class ParentContext: A parental context represents the relationship between contexts.

class SqliteMetadataSourceConfig: A connection configuration to use a Sqlite db file as a MLMD backend.