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nn_theta_check.npy

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    • defaults.py 2.37 KiB
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    __author__ = "Lukas Leufen"
__date__ = '2020-06-25'


DEFAULT_STATIONS = ['DEBW107', 'DEBY081', 'DEBW013', 'DEBW076', 'DEBW087']
DEFAULT_VAR_ALL_DICT = {'o3': 'dma8eu', 'relhum': 'average_values', 'temp': 'maximum', 'u': 'average_values',
                        'v': 'average_values', 'no': 'dma8eu', 'no2': 'dma8eu', 'cloudcover': 'average_values',
                        'pblheight': 'maximum'}
DEFAULT_NETWORK = "AIRBASE"
DEFAULT_STATION_TYPE = "background"
DEFAULT_VARIABLES = DEFAULT_VAR_ALL_DICT.keys()
DEFAULT_START = "1997-01-01"
DEFAULT_END = "2017-12-31"
DEFAULT_WINDOW_HISTORY_SIZE = 13
DEFAULT_OVERWRITE_LOCAL_DATA = False
# DEFAULT_TRANSFORMATION = {"scope": "data", "method": "standardise", "mean": "estimate"}
DEFAULT_TRANSFORMATION = {"scope": "data", "method": "standardise"}
DEFAULT_HPC_LOGIN_LIST = ["ju", "hdfmll"]  # ju[wels} #hdfmll(ogin)
DEFAULT_HPC_HOST_LIST = ["jw", "hdfmlc"]  # first part of node names for Juwels (jw[comp], hdfmlc(ompute).
DEFAULT_CREATE_NEW_MODEL = True
DEFAULT_TRAINABLE = True
DEFAULT_FRACTION_OF_TRAINING = 0.8
DEFAULT_EXTREME_VALUES = None
DEFAULT_EXTREMES_ON_RIGHT_TAIL_ONLY = False
DEFAULT_PERMUTE_DATA = False
DEFAULT_BATCH_SIZE = int(256 * 2)
DEFAULT_EPOCHS = 20
DEFAULT_TARGET_VAR = "o3"
DEFAULT_TARGET_DIM = "variables"
DEFAULT_WINDOW_LEAD_TIME = 3
DEFAULT_DIMENSIONS = {"new_index": ["datetime", "Stations"]}
DEFAULT_INTERPOLATE_DIM = "datetime"
DEFAULT_INTERPOLATE_METHOD = "linear"
DEFAULT_LIMIT_NAN_FILL = 1
DEFAULT_TRAIN_START = "1997-01-01"
DEFAULT_TRAIN_END = "2007-12-31"
DEFAULT_TRAIN_MIN_LENGTH = 90
DEFAULT_VAL_START = "2008-01-01"
DEFAULT_VAL_END = "2009-12-31"
DEFAULT_VAL_MIN_LENGTH = 90
DEFAULT_TEST_START = "2010-01-01"
DEFAULT_TEST_END = "2017-12-31"
DEFAULT_TEST_MIN_LENGTH = 90
DEFAULT_TRAIN_VAL_MIN_LENGTH = 180
DEFAULT_USE_ALL_STATIONS_ON_ALL_DATA_SETS = True
DEFAULT_EVALUATE_BOOTSTRAPS = True
DEFAULT_CREATE_NEW_BOOTSTRAPS = False
DEFAULT_NUMBER_OF_BOOTSTRAPS = 20
DEFAULT_PLOT_LIST = ["PlotMonthlySummary", "PlotStationMap", "PlotClimatologicalSkillScore", "PlotTimeSeries",
                     "PlotCompetitiveSkillScore", "PlotBootstrapSkillScore", "PlotConditionalQuantiles",
                     "PlotAvailability"]


def get_defaults():
    """Return all default parameters set in defaults.py"""
    return {key: value for key, value in globals().items() if key.startswith('DEFAULT')}


if __name__ == "__main__":
    print(get_defaults())