Datasets

Functions to load and write datasets.

load_anomaly_detection(name[, split, ...])	Load an anomaly detection dataset.
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.
load_from_timeeval_csv_file(path)	Load a TimeEval-formatted CSV file into memory.
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.