DatasetFormat: DatasetFormat Class

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

DatasetFormat Class

Description

Represents a Dataset Format that is used when calling a DefaultModelMonitor.

Methods

Public methods

• DatasetFormat$csv()

• DatasetFormat$json()

• DatasetFormat$sagemaker_capture_json()

• DatasetFormat$format()

• DatasetFormat$clone()

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Method csv()

Returns a DatasetFormat JSON string for use with a DefaultModelMonitor.

Usage

DatasetFormat$csv(header = TRUE, output_columns_position = c("START", "END"))

Arguments

header

(bool): Whether the csv dataset to baseline and monitor has a header. Default: True.

output_columns_position

(str): The position of the output columns. Must be one of ("START", "END"). Default: "START".

Returns

dict: JSON string containing DatasetFormat to be used by DefaultModelMonitor.

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Method json()

Returns a DatasetFormat JSON string for use with a DefaultModelMonitor.

Usage

DatasetFormat$json(lines = TRUE)

Arguments

lines

(bool): Whether the file should be read as a json object per line. Default: True.

Returns

dict: JSON string containing DatasetFormat to be used by DefaultModelMonitor.

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Method sagemaker_capture_json()

Returns a DatasetFormat SageMaker Capture Json string for use with a DefaultModelMonitor.

Usage

DatasetFormat$sagemaker_capture_json()

Returns

dict: JSON string containing DatasetFormat to be used by DefaultModelMonitor.

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Method format()

format class

Usage

DatasetFormat$format()

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Method clone()

The objects of this class are cloneable with this method.

Usage

DatasetFormat$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

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