MNIST Class

Represents the MNIST dataset of handwritten digits.

The MNIST database of handwritten digits has a training set of 60,000 examples and a test set of 10,000 examples. The digits have been size-normalized and centered in a fixed-size image. For more information about this dataset, including column descriptions, different ways to access the dataset, and examples, see The MNIST database of handwritten digits in the Microsoft Azure Open Datasets catalog.

For an example of using the MNIST dataset, see the tutorial Train image classification models with MNIST data and scikit-learn using Azure Machine Learning.

Inheritance

ClassMethodOpenDatasetBase

MNIST

Constructor

MNIST()

Methods

get_file_dataset	Return a FileDataset containing the data.
get_tabular_dataset	Return a TabularDataset containing the data.

get_file_dataset

Return a FileDataset containing the data.

get_file_dataset(dataset_filter='all', enable_telemetry: bool = True) -> FileDataset

Parameters

Name	Description
cls Required	Current class
dataset_filter	str A filter that determines what data is returned. Can be "all" (the default), "train", or "test". default value: all
enable_telemetry	bool Whether to enable telemetry on this dataset. default value: True

Returns

Type	Description
FileDataset	A file dataset.

get_tabular_dataset

Return a TabularDataset containing the data.

get_tabular_dataset(dataset_filter='all', enable_telemetry: bool = True) -> TabularDataset

Parameters

Name	Description
cls Required	Current class
dataset_filter	str A filter that determines what data is returned. Can be "all" (the default), "train", or "test". default value: all
enable_telemetry	bool Whether to enable telemetry on this dataset. default value: True

Returns

Type	Description
TabularDataset	A tabular dataset.