JSONLinesDeserializer | R Documentation |
Deserialize JSON lines data from an inference endpoint.
sagemaker.mlcore::BaseDeserializer
-> sagemaker.mlcore::SimpleBaseDeserializer
-> JSONDeserializer
new()
Initialize a āJSONLinesDeserializerā instance.
JSONLinesDeserializer$new(accept = "application/json")
accept
(union[str, tuple[str]]): The MIME type (or tuple of allowable MIME types) that is expected from the inference endpoint (default: ("text/csv","application/json")).
deserialize()
Deserialize JSON lines data from an inference endpoint. See https://docs.python.org/3/library/json.html#py-to-json-table to understand how JSON values are converted to R objects.
JSONLinesDeserializer$deserialize(stream, content_type)
stream
(botocore.response.StreamingBody): Data to be deserialized.
content_type
(str): The MIME type of the data.
list: A list of JSON serializable objects.
clone()
The objects of this class are cloneable with this method.
JSONLinesDeserializer$clone(deep = FALSE)
deep
Whether to make a deep clone.
Other serializer:
BaseDeserializer
,
BaseSerializer
,
BytesDeserializer
,
CSVDeserializer
,
CSVSerializer
,
DataTableDeserializer
,
IdentitySerializer
,
JSONDeserializer
,
JSONLinesSerializer
,
JSONSerializer
,
LibSVMSerializer
,
NumpyDeserializer
,
NumpySerializer
,
SimpleBaseDeserializer
,
SimpleBaseSerializer
,
SparseMatrixSerializer
,
StringDeserializer
,
TibbleDeserializer
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