JSONDeserializer: JSONDeserializer Class

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

JSONDeserializer Class

Description

Deserialize JSON data from an inference endpoint into a R object.

Super classes

sagemaker.mlcore::BaseDeserializer -> sagemaker.mlcore::SimpleBaseDeserializer -> JSONDeserializer

Methods

Public methods

• JSONDeserializer$new()

• JSONDeserializer$deserialize()

• JSONDeserializer$clone()

Inherited methods

• sagemaker.mlcore::BaseDeserializer$format()

---

Method new()

Initialize a “JSONDeserializer“ instance.

Usage

JSONDeserializer$new(accept = "application/json")

Arguments

accept

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

---

Method deserialize()

Deserialize JSON data from an inference endpoint into a Python object.

Usage

JSONDeserializer$deserialize(stream, content_type)

Arguments

stream

(botocore.response.StreamingBody): Data to be deserialized.

content_type

(str): The MIME type of the data.

Returns

object: The JSON-formatted data deserialized into a R object.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

JSONDeserializer$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Other serializer: BaseDeserializer, BaseSerializer, BytesDeserializer, CSVDeserializer, CSVSerializer, DataTableDeserializer, IdentitySerializer, 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.