research.datasets.ContinuousCategoricalDatasets

class research.datasets.ContinuousCategoricalDatasets(names='all')[source]

Class to download, transform and save datasets with both continuous and categorical features.

Methods

download()

Download the datasets.

fetch_abalone()

Download and transform the Abalone Data Set.

fetch_acute()

Download and transform the Acute Inflammations Data Set.

fetch_adult()

Download and transform the Adult Data Set.

fetch_annealing()

Download and transform the Annealing Data Set.

fetch_census()

Download and transform the Census-Income (KDD) Data Set.

fetch_contraceptive()

Download and transform the Contraceptive Method Choice Data Set.

fetch_covertype()

Download and transform the Covertype Data Set.

fetch_credit_approval()

Download and transform the Credit Approval Data Set.

fetch_dermatology()

Download and transform the Dermatology Data Set.

fetch_echocardiogram()

Download and transform the Echocardiogram Data Set.

fetch_flags()

Download and transform the Flags Data Set.

fetch_german_credit()

Download and transform the German Credit Data Set.

fetch_heart()

Download and transform the Heart Data Set.

fetch_heart_disease()

Download and transform the Heart Disease Data Set.

fetch_hepatitis()

Download and transform the Hepatitis Data Set.

fetch_thyroid()

Download and transform the Thyroid Disease Data Set.

save(path, db_name)

Save datasets.


download()[source]

Download the datasets.

fetch_abalone()[source]

Download and transform the Abalone Data Set.

https://archive.ics.uci.edu/ml/datasets/Abalone

fetch_acute()[source]

Download and transform the Acute Inflammations Data Set.

https://archive.ics.uci.edu/ml/datasets/Acute+Inflammations

fetch_adult()[source]

Download and transform the Adult Data Set.

https://archive.ics.uci.edu/ml/datasets/Adult

fetch_annealing()[source]

Download and transform the Annealing Data Set.

https://archive.ics.uci.edu/ml/datasets/Annealing

fetch_census()[source]

Download and transform the Census-Income (KDD) Data Set.

https://archive.ics.uci.edu/ml/datasets/Census-Income+%28KDD%29

fetch_contraceptive()[source]

Download and transform the Contraceptive Method Choice Data Set.

https://archive.ics.uci.edu/ml/datasets/Contraceptive+Method+Choice

fetch_covertype()[source]

Download and transform the Covertype Data Set.

https://archive.ics.uci.edu/ml/datasets/Covertype

fetch_credit_approval()[source]

Download and transform the Credit Approval Data Set.

https://archive.ics.uci.edu/ml/datasets/Credit+Approval

fetch_dermatology()[source]

Download and transform the Dermatology Data Set.

https://archive.ics.uci.edu/ml/datasets/Dermatology

fetch_echocardiogram()[source]

Download and transform the Echocardiogram Data Set.

https://archive.ics.uci.edu/ml/datasets/Echocardiogram

fetch_flags()[source]

Download and transform the Flags Data Set.

https://archive.ics.uci.edu/ml/datasets/Flags

fetch_german_credit()[source]

Download and transform the German Credit Data Set.

https://archive.ics.uci.edu/ml/datasets/Statlog+%28German+Credit+Data%29

fetch_heart()[source]

Download and transform the Heart Data Set.

http://archive.ics.uci.edu/ml/datasets/statlog+(heart)

fetch_heart_disease()[source]

Download and transform the Heart Disease Data Set.

https://archive.ics.uci.edu/ml/datasets/Heart+Disease

fetch_hepatitis()[source]

Download and transform the Hepatitis Data Set.

https://archive.ics.uci.edu/ml/datasets/Hepatitis

fetch_thyroid()[source]

Download and transform the Thyroid Disease Data Set. Label 0 corresponds to no disease found. Label 1 corresponds to one or multiple diseases found.

https://archive.ics.uci.edu/ml/datasets/Thyroid+Disease

save(path, db_name)[source]

Save datasets.