| NumpySerializer | R Documentation |
Serialize data of various formats to a numpy npy file format. This serializer class uses python numpy package to serialize, R objects through the use of the 'reticulate' package.
sagemaker.mlcore::BaseSerializer -> sagemaker.mlcore::SimpleBaseSerializer -> NumpySerializer
dtypeThe dtype of the data
npInitialized python numpy package
new()Initialize a NumpySerializer instance.
NumpySerializer$new(dtype = NULL, content_type = "application/x-npy")
dtype(str): The 'dtype' of the data. 'reticulate' auto maps to python, please set R class to be serialized.
content_type(str): The MIME type to signal to the inference endpoint when sending request data (default: "application/x-npy").
serialize()Serialize data to a buffer using the .npy format.
NumpySerializer$serialize(data)
data(object): Data to be serialized. Can be a NumPy array, list, file, or buffer.
(raw): A buffer containing data serialized in the .npy format.
clone()The objects of this class are cloneable with this method.
NumpySerializer$clone(deep = FALSE)
deepWhether to make a deep clone.
Other serializer:
BaseDeserializer,
BaseSerializer,
BytesDeserializer,
CSVDeserializer,
CSVSerializer,
DataTableDeserializer,
IdentitySerializer,
JSONDeserializer,
JSONLinesDeserializer,
JSONLinesSerializer,
JSONSerializer,
LibSVMSerializer,
NumpyDeserializer,
SimpleBaseDeserializer,
SimpleBaseSerializer,
SparseMatrixSerializer,
StringDeserializer,
TibbleDeserializer
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