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Reference documentation and code samples for the Vertex AI V1 API module Google::Cloud::AIPlatform::V1::NearestNeighborSearchOperationMetadata::RecordError::RecordErrorType.
Constants
ERROR_TYPE_UNSPECIFIED
value: 0
Default, shall not be used.
EMPTY_LINE
value: 1
The record is empty.
INVALID_JSON_SYNTAX
value: 2
Invalid json format.
INVALID_CSV_SYNTAX
value: 3
Invalid csv format.
INVALID_AVRO_SYNTAX
value: 4
Invalid avro format.
INVALID_EMBEDDING_ID
value: 5
The embedding id is not valid.
EMBEDDING_SIZE_MISMATCH
value: 6
The size of the dense embedding vectors does not match with the
specified dimension.
NAMESPACE_MISSING
value: 7
The namespace field is missing.
PARSING_ERROR
value: 8
Generic catch-all error. Only used for validation failure where the
root cause cannot be easily retrieved programmatically.
DUPLICATE_NAMESPACE
value: 9
There are multiple restricts with the same namespace value.
OP_IN_DATAPOINT
value: 10
Numeric restrict has operator specified in datapoint.
MULTIPLE_VALUES
value: 11
Numeric restrict has multiple values specified.
INVALID_NUMERIC_VALUE
value: 12
Numeric restrict has invalid numeric value specified.
INVALID_ENCODING
value: 13
File is not in UTF_8 format.
INVALID_SPARSE_DIMENSIONS
value: 14
Error parsing sparse dimensions field.
INVALID_TOKEN_VALUE
value: 15
Token restrict value is invalid.
INVALID_SPARSE_EMBEDDING
value: 16
Invalid sparse embedding.
INVALID_EMBEDDING
value: 17
Invalid dense embedding.