| CSVDeserializer | R Documentation |
Consider using NumpyDeserializer or
DataTableDeserializer or TibbleDeserializer instead,
if you'd like to convert text/csv
responses directly into other data types.
sagemaker.mlcore::BaseDeserializer -> sagemaker.mlcore::SimpleBaseDeserializer -> CSVDeserializer
encodingstring encoding to be used
new()Initialize a “CSVDeserializer“ instance.
CSVDeserializer$new(encoding = "UTF-8", accept = "text/csv")
encoding(str): The string encoding to use (default: "UTF-8").
accept(union[str, tuple[str]]): The MIME type (or tuple of allowable MIME types) that is expected from the inference endpoint (default: "text/csv").
deserialize()Takes raw data stream and deserializes it.
CSVDeserializer$deserialize(stream, content_type)
streamraw data to be deserialize
content_type(str): The MIME type of the data.
list: The data deserialized into a list of lists representing the contents of a CSV file.
clone()The objects of this class are cloneable with this method.
CSVDeserializer$clone(deep = FALSE)
deepWhether to make a deep clone.
Other serializer:
BaseDeserializer,
BaseSerializer,
BytesDeserializer,
CSVSerializer,
DataTableDeserializer,
IdentitySerializer,
JSONDeserializer,
JSONLinesDeserializer,
JSONLinesSerializer,
JSONSerializer,
LibSVMSerializer,
NumpyDeserializer,
NumpySerializer,
SimpleBaseDeserializer,
SimpleBaseSerializer,
SparseMatrixSerializer,
StringDeserializer,
TibbleDeserializer
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