Module: datasets
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 | Download (if not already downloaded) and load an example EEG dataset. | 
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 | Download (if not already downloaded) and load example light curve data. | 
fetch_andrzejak
- cesium.datasets.fetch_andrzejak(data_dir=None)
- Download (if not already downloaded) and load an example EEG dataset. - Parameters:
- data_dirstr, optional
- Path where downloaded data should be stored. Defaults to a subdirectory datasets/andrzejak within dsutil.DATA_PATH. 
 
- Returns:
- dict
- Dictionary with attributes:
- times: list of (4096,) arrays of time values 
- measurements: list of (4096,) arrays of measurement values 
- classes: array of class labels for each time series 
- archive: path to data archive 
- header: path to header file 
 
 
 
 - References - Andrzejak, Ralph G., et al. “Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state.” Phys. Rev. E 64.6 (2001): 061907. 
fetch_asas_training
- cesium.datasets.fetch_asas_training(data_dir=None)
- Download (if not already downloaded) and load example light curve data. - Parameters:
- data_dir: str, optional
- Path where downloaded data should be stored. Defaults to a subdirectory datasets/asas_training within dsutil.DATA_PATH. 
 
- Returns:
- dict
- Dictionary attributes:
- times: list of arrays of time values 
- measurements: list of arrays of measurement values 
- errors: list of arrays of error values 
- classes: Series of classes for each time series indexed by file 
- metadata: DataFrame of metafeature values indexed by file 
- archive: path to data archive 
- header: path to header file 
 
 
 
 - References - Richards, J. W., Starr, D. L., Miller, A. a., Bloom, J. S., Butler, N. R., Brink, H., & Crellin-Quick, A. (2012). Construction of a Calibrated Probabilistic Classification Catalog: Application to 50k Variable Sources in the All-Sky Automated Survey. The Astrophysical Journal Supplement Series, 203(2), 32. http://doi.org/10.1088/0067-0049/203/2/32