LibSVMSerializer: LibSVMSerializer Class

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

LibSVMSerializer Class

Description

Serialize data of various formats to a LibSVM-formatted string. The data must already be in LIBSVM file format: <label> <index1>:<value1> <index2>:<value2> ... It is suitable for sparse datasets since it does not store zero-valued features.

Super classes

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

Methods

Public methods

• LibSVMSerializer$new()

• LibSVMSerializer$serialize()

• LibSVMSerializer$clone()

Inherited methods

• sagemaker.mlcore::BaseSerializer$format()

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Method new()

Initialize a “LibSVMSerializer“ instance.

Usage

LibSVMSerializer$new(content_type = "text/libsvm")

Arguments

content_type

(str): The MIME type to signal to the inference endpoint when sending request data (default: "text/libsvm").

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Method serialize()

Serialize data of various formats to a LibSVM-formatted string.

Usage

LibSVMSerializer$serialize(data)

Arguments

data

(object): Data to be serialized. Can be a string, a file-like object, sparse matrix, or a list (format: list(<sparse matrix>, <label>)).

Returns

str: The data serialized as a LibSVM-formatted string.

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Method clone()

The objects of this class are cloneable with this method.

Usage

LibSVMSerializer$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, NumpyDeserializer, NumpySerializer, SimpleBaseDeserializer, SimpleBaseSerializer, SparseMatrixSerializer, StringDeserializer, TibbleDeserializer

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