sktime.datasets: Datasets¶
Load the airline univariate time series dataset [1]. |
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Loads the ArrowHead time series classification problem and returns X and y. |
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Loads the GunPoint time series classification problem and returns X and y :param split: Whether to load the train or test partition of the problem. By default it loads both. :type split: None or str{“train”, “test”}, optional (default=None) :param return_X_y: If True, returns (features, target) separately instead of a single dataframe with columns for features and the target. :type return_X_y: bool, optional (default=False). |
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Loads the OSULeaf time series classification problem and returns X and y |
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Loads the ItalyPowerDemand time series classification problem and returns X and y |
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Loads the BasicMotions time series classification problem and returns X and y. |
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Loads the JapaneseVowels time series classification problem and returns X and y. |
Load the shampoo sales univariate time series dataset for forecasting. |
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Load the Longley multivariate time series dataset for forecasting with exogenous variables. |
Load the lynx univariate time series dataset for forecasting. |
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Loads the power consumption of typical appliances time series classification problem and returns X and y. |
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Load the multivariate time series dataset for forecasting Growth rates of personal consumption and personal income. |
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Load dataset from UCR UEA time series classification repository. |