CSVSerializer: CSVSerializer Class

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

CSVSerializer Class

Description

Make Raw data using text/csv format

Super classes

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

Methods

Public methods

• CSVSerializer$new()

• CSVSerializer$serialize()

• CSVSerializer$clone()

Inherited methods

• sagemaker.mlcore::BaseSerializer$format()

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Method new()

Initialize a CSVSerializer instance.

Usage

CSVSerializer$new(content_type = "text/csv")

Arguments

content_type

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

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Method serialize()

Take data of various data formats and serialize them into CSV.

Usage

CSVSerializer$serialize(data)

Arguments

data

(object): Data to be serialized. Any list of same length vectors; e.g. data.frame and data.table. If matrix, it gets internally coerced to data.table preserving col names but not row names

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Method clone()

The objects of this class are cloneable with this method.

Usage

CSVSerializer$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

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

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