inferences.errors

exception DatasetError(errors: ValidationError | List[ValidationError])

Bases: Exception

An error raised when the dataset is invalid or incomplete

exception EmbeddingVectorSizeMismatch(embedding_feature_name: str, vector_column_name: str, vector_lengths: List[int])

Bases: ValidationError

An error raised when there is an embedding feature with multiple different vector lengths

error_message() → str

exception InvalidColumnType(error_msgs: Iterable[str])

Bases: ValidationError

An error raised when the column type is invalid

error_message() → str

exception InvalidEmbeddingReservedName(reserved_name: str, schema_field: str)

Bases: ValidationError

An error raised when there is an embedding feature with a name, i.e. dictionary key, that is reserved

error_message() → str

exception InvalidEmbeddingVectorDataType(embedding_feature_name: str, vector_column_type: str)

Bases: ValidationError

An error raised when there is an embedding feature with a vector of an unsupported data type

error_message() → str

exception InvalidEmbeddingVectorSize(embedding_feature_name: str, vector_column_name: str, vector_length: int)

Bases: ValidationError

An error raised when there is an embedding feature with an invalid vector length

error_message() → str

exception InvalidEmbeddingVectorValuesDataType(embedding_feature_name: str, vector_column_name: str, vector: Any)

Bases: ValidationError

An error raised when there is an embedding feature with a vector that has values of an unsupported data type

error_message() → str

exception InvalidSchemaError(invalid_props: Iterable[str])

Bases: ValidationError

error_message() → str

exception MissingColumns(cols: Iterable[str])

Bases: ValidationError

An error raised when the dataset is missing columns specified in the schema

error_message() → str

exception MissingEmbeddingFeatureColumnNames(embedding_feature_name: str)

Bases: ValidationError

An error raised when trying to access an EmbeddingColumnNames config that is absent from the schema

error_message() → str

exception MissingEmbeddingFeatureLinkToDataColumnName(embedding_feature_name: str)

Bases: ValidationError

An error raised when trying to access an EmbeddingColumnNames.link_to_data_column_name absent from the schema

error_message() → str

exception MissingEmbeddingFeatureRawDataColumnName(embedding_feature_name: str)

Bases: ValidationError

An error raised when trying to access an EmbeddingColumnNames.raw_data_column_name that is absent from the schema

error_message() → str

exception MissingEmbeddingFeatureVectorColumnName(embedding_feature_name: str)

Bases: ValidationError

An error raised when trying to access an EmbeddingColumnNames.vector_column_name that is absent from the schema

error_message() → str

exception MissingField(field: str)

Bases: ValidationError

An error raised when trying to access a field that is absent from the Schema

error_message() → str

exception MissingTimestampColumnName

Bases: ValidationError

An error raised when trying to access a timestamp column that is absent from the schema.

error_message() → str

exception MissingVectorColumn(col: str)

Bases: ValidationError

An error raised when the dataset is missing an embedding vector column specified in the schema

error_message() → str

exception SchemaError(errors: ValidationError | List[ValidationError])

Bases: Exception

An error raised when the Schema is invalid or incomplete

exception ValidationError

Bases: Exception

abstract error_message() → str