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# mlmd.errors | ||
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Exception types for MLMD errors. | ||
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## Classes | ||
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[`class AbortedError`][ml_metadata.errors.AbortedError]: The operation was aborted, typically due to a concurrent action. | ||
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[`class AlreadyExistsError`][ml_metadata.errors.AlreadyExistsError]: Raised when an entity that we attempted to create already exists. | ||
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[`class CancelledError`][ml_metadata.errors.CancelledError]: Raised when an operation or step is cancelled. | ||
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[`class DataLossError`][ml_metadata.errors.DataLossError]: Raised when unrecoverable data loss or corruption is encountered. | ||
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[`class DeadlineExceededError`][ml_metadata.errors.DeadlineExceededError]: Raised when a deadline expires before an operation could complete. | ||
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[`class FailedPreconditionError`][ml_metadata.errors.FailedPreconditionError]: Raised when the system is not in a state to execute an operation. | ||
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[`class InternalError`][ml_metadata.errors.InternalError]: Raised when the system experiences an internal error. | ||
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[`class InvalidArgumentError`][ml_metadata.errors.InvalidArgumentError]: Raised when an operation receives an invalid argument. | ||
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[`class NotFoundError`][ml_metadata.errors.NotFoundError]: Raised when a requested entity was not found. | ||
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[`class OutOfRangeError`][ml_metadata.errors.OutOfRangeError]: Raised when an operation iterates past the valid input range. | ||
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[`class PermissionDeniedError`][ml_metadata.errors.PermissionDeniedError]: Raised when the caller does not have permission to run an operation. | ||
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[`class ResourceExhaustedError`][ml_metadata.errors.ResourceExhaustedError]: Some resource has been exhausted. | ||
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[`class StatusError`][ml_metadata.errors.StatusError]: A general error class that cast maps Status to typed errors. | ||
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[`class UnauthenticatedError`][ml_metadata.errors.UnauthenticatedError]: The request does not have valid authentication credentials. | ||
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[`class UnavailableError`][ml_metadata.errors.UnavailableError]: Raised when the runtime is currently unavailable. | ||
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[`class UnimplementedError`][ml_metadata.errors.UnimplementedError]: Raised when an operation has not been implemented. | ||
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[`class UnknownError`][ml_metadata.errors.UnknownError]: Raised when an operation failed reason is unknown. | ||
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## Functions | ||
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[`exception_type_from_error_code(...)`][ml_metadata.errors.exception_type_from_error_code]: Returns error class w.r.t. the error_code. | ||
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[`make_exception(...)`][ml_metadata.errors.make_exception]: Makes an exception with the MLMD error code. |
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# mlmd.errors | ||
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::: ml_metadata.errors | ||
options: | ||
show_if_no_docstring: true |
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# mlmd.proto | ||
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ML Metadata proto module. | ||
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## Classes | ||
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[`class Artifact`][ml_metadata.proto.Artifact]: An artifact represents an input or an output of individual steps in a ML workflow, e.g., a trained model, an input dataset, and evaluation metrics. | ||
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[`class ArtifactType`][ml_metadata.proto.ArtifactType]: A user defined type about a collection of artifacts and their properties that are stored in the metadata store. | ||
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[`class Association`][ml_metadata.proto.Association]: An association represents the relationship between executions and contexts. | ||
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[`class Attribution`][ml_metadata.proto.Attribution]: An attribution represents the relationship between artifacts and contexts. | ||
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[`class ConnectionConfig`][ml_metadata.proto.ConnectionConfig]: A connection configuration specifying the persistent backend to be used with MLMD. | ||
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[`class Context`][ml_metadata.proto.Context]: A context defines a group of artifacts and/or executions. | ||
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[`class ContextType`][ml_metadata.proto.ContextType]: A user defined type about a collection of contexts and their properties that are stored in the metadata store. | ||
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[`class Event`][ml_metadata.proto.Event]: An event records the relationship between artifacts and executions. | ||
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[`class Execution`][ml_metadata.proto.Execution]: An execution describes a component run or a step in an ML workflow along with its runtime parameters, e.g., a Trainer run, a data transformation step. | ||
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[`class ExecutionType`][ml_metadata.proto.ExecutionType]: A user defined type about a collection of executions and their properties that are stored in the metadata store. | ||
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[`class FakeDatabaseConfig`][ml_metadata.proto.FakeDatabaseConfig]: An in-memory database configuration for testing purpose. | ||
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[`class MetadataStoreClientConfig`][ml_metadata.proto.MetadataStoreClientConfig]: A connection configuration to use a MLMD server as the persistent backend. | ||
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[`class MySQLDatabaseConfig`][ml_metadata.proto.MySQLDatabaseConfig]: A connection configuration to use a MySQL db instance as a MLMD backend. | ||
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[`class ParentContext`][ml_metadata.proto.ParentContext]: A parental context represents the relationship between contexts. | ||
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[`class SqliteMetadataSourceConfig`][ml_metadata.proto.SqliteMetadataSourceConfig]: A connection configuration to use a Sqlite db file as a MLMD backend. |
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# mlmd.proto | ||
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::: ml_metadata.proto | ||
options: | ||
show_if_no_docstring: true |
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# mlmd | ||
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Init module for ML Metadata. | ||
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## Modules | ||
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[`errors`][ml_metadata.errors] module: Exception types for MLMD errors. | ||
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[`proto`][ml_metadata.proto] module: ML Metadata proto module. | ||
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## Classes | ||
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[`class ListOptions`][ml_metadata.ListOptions]: Defines the available options when listing nodes. | ||
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[`class MetadataStore`][ml_metadata.MetadataStore]: A store for the metadata. | ||
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[`class OrderByField`][ml_metadata.OrderByField]: Defines the available fields to order results in ListOperations. | ||
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## Functions | ||
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[`downgrade_schema(...)`][ml_metadata.downgrade_schema]: Downgrades the db specified in the connection config to a schema version. | ||
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# mlmd | ||
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::: ml_metadata | ||
options: | ||
show_submodules: false |
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window.MathJax = { | ||
tex: { | ||
inlineMath: [["\\(", "\\)"]], | ||
displayMath: [["\\[", "\\]"]], | ||
processEscapes: true, | ||
processEnvironments: true | ||
}, | ||
options: { | ||
ignoreHtmlClass: ".*|", | ||
processHtmlClass: "arithmatex" | ||
} | ||
}; | ||
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document$.subscribe(() => { | ||
MathJax.startup.output.clearCache() | ||
MathJax.typesetClear() | ||
MathJax.texReset() | ||
MathJax.typesetPromise() | ||
}) |
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:root { | ||
--md-primary-fg-color: #FFA800; | ||
--md-primary-fg-color--light: #CCCCCC; | ||
--md-primary-fg-color--dark: #425066; | ||
} | ||
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.video-wrapper { | ||
max-width: 240px; | ||
display: flex; | ||
flex-direction: row; | ||
} | ||
.video-wrapper > iframe { | ||
width: 100%; | ||
aspect-ratio: 16 / 9; | ||
} | ||
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p img{ | ||
background: white; | ||
} |