NumpyDeserializer | R Documentation |
Deserialize a stream of data in the .npy or UTF-8 CSV/JSON format. This serializer class uses python numpy package to deserialize, R objects through the use of the 'reticulate' package.
sagemaker.mlcore::BaseDeserializer
-> sagemaker.mlcore::SimpleBaseDeserializer
-> NumpyDeserializer
np
Python Numpy package
dtype
The dtype of the data
allow_pickle
Allow loading pickled object arrays
new()
Initialize a “NumpyDeserializer“ instance.
NumpyDeserializer$new( dtype = NULL, accept = "application/x-npy", allow_pickle = TRUE )
dtype
(str): The dtype of the data (default: None).
accept
(union[str, tuple[str]]): The MIME type (or tuple of allowable MIME types) that is expected from the inference endpoint (default: "application/x-npy").
allow_pickle
(bool): Allow loading pickled object arrays (default: True).
deserialize()
Deserialize data from an inference endpoint into a NumPy array.
NumpyDeserializer$deserialize(stream, content_type)
stream
(botocore.response.StreamingBody): Data to be deserialized.
content_type
(str): The MIME type of the data.
matrix: The data deserialized into a R matrix/array.
clone()
The objects of this class are cloneable with this method.
NumpyDeserializer$clone(deep = FALSE)
deep
Whether to make a deep clone.
Other serializer:
BaseDeserializer
,
BaseSerializer
,
BytesDeserializer
,
CSVDeserializer
,
CSVSerializer
,
DataTableDeserializer
,
IdentitySerializer
,
JSONDeserializer
,
JSONLinesDeserializer
,
JSONLinesSerializer
,
JSONSerializer
,
LibSVMSerializer
,
NumpySerializer
,
SimpleBaseDeserializer
,
SimpleBaseSerializer
,
SparseMatrixSerializer
,
StringDeserializer
,
TibbleDeserializer
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