SimpleBaseDeserializer: Abstract base class for creation of new deserializers.

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

Abstract base class for creation of new deserializers.

Description

This class extends the API of BaseDeserializer with more user-friendly options for setting the ACCEPT content type header, in situations where it can be provided at init and freely updated.

Super class

sagemaker.mlcore::BaseDeserializer -> SimpleBaseDeserializer

Public fields

accept

The MIME type that is expected from the inference endpoint

Active bindings

ACCEPT

The tuple of possible content types that are expected from the inference endpoint.

Methods

Public methods

• SimpleBaseDeserializer$new()

• SimpleBaseDeserializer$clone()

Inherited methods

• sagemaker.mlcore::BaseDeserializer$deserialize()

• sagemaker.mlcore::BaseDeserializer$format()

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Method new()

Initialize a “SimpleBaseDeserializer“ instance.

Usage

SimpleBaseDeserializer$new(accept = "*/*")

Arguments

accept

(union[str, tuple[str]]): The MIME type (or tuple of allowable MIME types) that is expected from the inference endpoint (default: "*/*").

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Method clone()

The objects of this class are cloneable with this method.

Usage

SimpleBaseDeserializer$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, SimpleBaseSerializer, SparseMatrixSerializer, StringDeserializer, TibbleDeserializer

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