SparseMatrixSerializer: SparseMatrixSerializer Class

In DyfanJones/sagemaker-r-mlcore: sagemaker machine learning core classes and methods

SparseMatrixSerializer Class

Description

Serialize a sparse matrix to a buffer using the .npz format.

Super classes

sagemaker.mlcore::BaseSerializer -> sagemaker.mlcore::SimpleBaseSerializer -> SparseMatrixSerializer

Public fields

scipy

Python scipy package

Methods

Public methods

• SparseMatrixSerializer$new()

• SparseMatrixSerializer$serialize()

• SparseMatrixSerializer$clone()

Inherited methods

• sagemaker.mlcore::BaseSerializer$format()

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Method new()

Initialize a “SparseMatrixSerializer“ instance.

Usage

SparseMatrixSerializer$new(content_type = "application/x-npz")

Arguments

content_type

(str): The MIME type to signal to the inference endpoint when sending request data (default: "application/x-npz").

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Method serialize()

Serialize a sparse matrix to a buffer using the .npz format. Sparse matrices can be in the “csc“, “csr“, “bsr“, “dia“ or “coo“ formats.

Usage

SparseMatrixSerializer$serialize(data)

Arguments

data

(sparseMatrix): The sparse matrix to serialize.

Returns

raw: A buffer containing the serialized sparse matrix.

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Method clone()

The objects of this class are cloneable with this method.

Usage

SparseMatrixSerializer$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Other serializer: BaseDeserializer, BaseSerializer, BytesDeserializer, CSVDeserializer, CSVSerializer, DataTableDeserializer, IdentitySerializer, JSONDeserializer, JSONLinesDeserializer, JSONLinesSerializer, JSONSerializer, LibSVMSerializer, NumpyDeserializer, NumpySerializer, SimpleBaseDeserializer, SimpleBaseSerializer, StringDeserializer, TibbleDeserializer

DyfanJones/sagemaker-r-mlcore documentation built on May 3, 2022, 10:08 a.m.