ucimlr.classification_datasets

all_datasets

all_datasets()

Returns a list of all ClassificationDataset classes.

Adult

class Adult(ClassificationDataset):
 |  Adult(root, split=TRAIN, validation_size=0.2)

Parameters

• root (str): Local path for storing/reading dataset files.
• split (str): One of {'train', 'validation', 'test'}
• validation_size (float): How large fraction in (0, 1) of the training partition to use for validation.

APSFailure

class APSFailure(ClassificationDataset):
 |  APSFailure(root, split=TRAIN, validation_size=0.2)

Parameters

• root (str): Local path for storing/reading dataset files.
• split (str): One of {'train', 'validation', 'test'}
• validation_size (float): How large fraction in (0, 1) of the training partition to use for validation.

Avila

class Avila(ClassificationDataset):
 |  Avila(root, split=TRAIN, validation_size=0.2)

Parameters

• root (str): Local path for storing/reading dataset files.
• split (str): One of {'train', 'validation', 'test'}
• validation_size (float): How large fraction in (0, 1) of the training partition to use for validation.

BankMarketing

class BankMarketing(ClassificationDataset):
 |  BankMarketing(root, split=TRAIN, validation_size=0.2)

Parameters

• root (str): Local path for storing/reading dataset files.
• split (str): One of {'train', 'validation', 'test'}
• validation_size (float): How large fraction in (0, 1) of the training partition to use for validation.

CardDefault

class CardDefault(ClassificationDataset):
 |  CardDefault(root, split=TRAIN, validation_size=0.2)

Parameters

• root (str): Local path for storing/reading dataset files.
• split (str): One of {'train', 'validation', 'test'}
• validation_size (float): How large fraction in (0, 1) of the training partition to use for validation.

Landsat

class Landsat(ClassificationDataset):
 |  Landsat(root, split=TRAIN, validation_size=0.2)

Parameters

• root (str): Local path for storing/reading dataset files.
• split (str): One of {'train', 'validation', 'test'}
• validation_size (float): How large fraction in (0, 1) of the training partition to use for validation.

LetterRecognition

class LetterRecognition(ClassificationDataset):
 |  LetterRecognition(root, split=TRAIN, validation_size=0.2)

Parameters

• root (str): Local path for storing/reading dataset files.
• split (str): One of {'train', 'validation', 'test'}
• validation_size (float): How large fraction in (0, 1) of the training partition to use for validation.

MagicGamma

class MagicGamma(ClassificationDataset):
 |  MagicGamma(root, split=TRAIN, validation_size=0.2)

Parameters

• root (str): Local path for storing/reading dataset files.
• split (str): One of {'train', 'validation', 'test'}
• validation_size (float): How large fraction in (0, 1) of the training partition to use for validation.

SensorLessDrive

class SensorLessDrive(ClassificationDataset):
 |  SensorLessDrive(root, split=TRAIN, validation_size=0.2)

Parameters

• root (str): Local path for storing/reading dataset files.
• split (str): One of {'train', 'validation', 'test'}
• validation_size (float): How large fraction in (0, 1) of the training partition to use for validation.

Shuttle

class Shuttle(ClassificationDataset):
 |  Shuttle(root, split=TRAIN, validation_size=0.2)

Description of dataset here.

Parameters

• root (str): Local path for storing/reading dataset files.
• split (str): One of {'train', 'validation', 'test'}
• validation_size (float): How large fraction in (0, 1) of the training partition to use for validation.