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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.