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Datasets#

Datasets#

datasets.load_airline_passengers([schema, name])

Ingests the airline passengers dataset into the Vertica database.

datasets.load_amazon([schema, name])

Ingests the amazon dataset into the Vertica database.

datasets.load_cities([schema, name])

Ingests the Cities dataset into the Vertica database.

datasets.load_commodities([schema, name])

Ingests the commodities dataset into the Vertica database.

datasets.load_iris([schema, name])

Ingests the iris dataset into the Vertica database.

datasets.load_market([schema, name])

Ingests the market dataset into the Vertica database.

datasets.load_pop_growth([schema, name])

Ingests the population growth dataset into the Vertica database.

datasets.load_smart_meters([schema, name])

Ingests the smart meters dataset into the Vertica database.

datasets.load_titanic([schema, name])

Ingests the titanic dataset into the Vertica database.

datasets.load_winequality([schema, name])

Ingests the winequality dataset into the Vertica database.

datasets.load_world([schema, name])

Ingests the World dataset into the Vertica database.

Dataset Generator#

datasets.gen_dataset(features_ranges[, nrows])

Generates a dataset using the input parameters.

datasets.gen_meshgrid(features_ranges)

Generates a dataset using regular steps.

Test Data#

datasets.load_dataset_cl([schema, table_name])

Sample Dataset to do classification.

datasets.load_dataset_num([schema, table_name])

Sample Dataset with numerical values.

datasets.load_dataset_reg([schema, table_name])

Sample Dataset to do regression.