mlair.data_handler.data_handler_neighbors
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Module Contents¶
Classes¶
Data handler including neighboring stations. |
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Functions¶
Comment: methods just to start write meaningful test routines. |
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Comment: methods just to start write meaningful test routines. |
Attributes¶
This data handler is just a prototype and has not been validated to work properly! Use it with caution! |
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mlair.data_handler.data_handler_neighbors.
__date__
= 2020-07-17¶ This data handler is just a prototype and has not been validated to work properly! Use it with caution!
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WARNING
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mlair.data_handler.data_handler_neighbors.
number
¶
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mlair.data_handler.data_handler_neighbors.
num_or_list
¶
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class
mlair.data_handler.data_handler_neighbors.
DataHandlerNeighbors
(id_class, data_path, neighbors=None, min_length=0, extreme_values: num_or_list = None, extremes_on_right_tail_only: bool = False)¶ Bases:
mlair.data_handler.DefaultDataHandler
Data handler including neighboring stations.
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classmethod
build
(cls, station, **kwargs)¶ Return initialised class.
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_create_collection
(self)¶
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get_coordinates
(self, include_neighbors=False)¶ Return coordinates as dictionary with keys lon and lat.
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classmethod
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mlair.data_handler.data_handler_neighbors.
run_data_prep
()¶ Comment: methods just to start write meaningful test routines.
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mlair.data_handler.data_handler_neighbors.
create_data_prep
()¶ Comment: methods just to start write meaningful test routines.
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class
mlair.data_handler.data_handler_neighbors.
DummyDataHandler
(name, number_of_samples=None)¶ Bases:
mlair.data_handler.AbstractDataHandler
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create_X
(self)¶ Inputs are random numbers between 0 and 10 with shape (no_samples, window=14, variables=5).
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create_Y
(self)¶ Targets are normal distributed random numbers with shape (no_samples, window=5, variables=1).
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get_X
(self, upsampling=False, as_numpy=False)¶ Upsampling parameter is not used for X.
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get_Y
(self, upsampling=False, as_numpy=False)¶ Upsampling parameter is not used for Y.
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__str__
(self)¶ Return str(self).
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mlair.data_handler.data_handler_neighbors.
a
¶