AutoMLInput: Accepts parameters that specify an S3 input for an auto ml...

In DyfanJones/sagemaker-r-mlframework: sagemaker machine learning developed by amazon

Accepts parameters that specify an S3 input for an auto ml job

Description

Provides a method to turn those parameters into a dictionary.

Methods

Public methods

• AutoMLInput$new()

• AutoMLInput$to_request_list()

• AutoMLInput$format()

• AutoMLInput$clone()

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Method new()

Convert an S3 Uri or a list of S3 Uri to an AutoMLInput object.

Usage

AutoMLInput$new(inputs, target_attribute_name, compression = NULL)

Arguments

inputs

(str, list[str]): a string or a list of string that points to (a) S3 location(s) where input data is stored.

target_attribute_name

(str): the target attribute name for regression or classification.

compression

(str): if training data is compressed, the compression type. The default value is None.

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Method to_request_list()

Generates a request dictionary using the parameters provided to the class.

Usage

AutoMLInput$to_request_list()

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Method format()

format class

Usage

AutoMLInput$format()

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Method clone()

The objects of this class are cloneable with this method.

Usage

AutoMLInput$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

DyfanJones/sagemaker-r-mlframework documentation built on March 18, 2022, 7:41 a.m.