Datasets#

Functions to load and write datasets.

load_classification(name[, split, ...])

Load a classification dataset.

load_forecasting(name[, extract_path, ...])

Download/load forecasting problem from https://forecastingdata.org/.

load_regression(name[, split, extract_path, ...])

Download/load regression problem.

load_from_tsfile(full_file_path_and_name[, ...])

Load time series .ts file into X and (optionally) y.

load_from_tsf_file(full_file_path_and_name)

Convert the contents in a .tsf file into a dataframe.

load_from_arff_file(full_file_path_and_name)

Load data from a classification/regression WEKA arff file to a 3D numpy array.

load_from_tsv_file(full_file_path_and_name)

Load data from a .tsv file into a numpy array.

download_all_regression([extract_path])

Download and unpack all of the Monash TSER datasets.

write_to_tsfile(X, path[, y, problem_name, ...])

Write an aeon collection of time series to text file in .ts format.

write_results_to_uea_format(estimator_name, ...)

Write the predictions for an experiment in the standard format used by aeon.

write_to_arff_file(X, y, path[, ...])

Write an aeon collection of time series to text file in .arff format.

load_airline()

Load the airline univariate time series dataset [1].

load_arrow_head([split, return_X_y, return_type])

Load the ArrowHead univariate time series classification problem.

load_gunpoint([split, return_X_y, return_type])

Load the GunPoint univariate time series classification problem.

load_osuleaf([split, return_X_y, return_type])

Load the OSULeaf univariate time series classification problem.

load_italy_power_demand([split, return_X_y, ...])

Load ItalyPowerDemand univariate time series classification problem.

load_basic_motions([split, return_X_y, ...])

Load the BasicMotions time series classification problem.

load_japanese_vowels([split, return_X_y, ...])

Load the JapaneseVowels time series classification problem.

load_shampoo_sales()

Load the shampoo sales univariate time series dataset for forecasting.

load_longley([y_name])

Load the Longley dataset for forecasting with exogenous variables.

load_lynx()

Load the lynx univariate time series dataset for forecasting.

load_acsf1([split, return_X_y, return_type])

Load the ACSF1 univariate dataset on power consumption of typical appliances.

load_uschange([y_name])

Load MTS dataset for forecasting Growth rates of personal consumption and income.

load_macroeconomic()

Load the US Macroeconomic Data [R5ccedc3bfa7b-1].

load_solar([start, end, normalise, ...])

Get national solar estimates for GB from Sheffield Solar PV_Live API.