def create_ICA(self, timeseries):
"""
:returns: persisted entity IndependentComponents
"""
operation, _, storage_path = self.__create_operation()
partial_ts = TimeSeries(use_storage=False)
partial_ts.data = numpy.random.random((10, 10, 10, 10))
partial_ica = IndependentComponents(source=partial_ts,
component_time_series=numpy.random.random((10, 10, 10, 10)),
prewhitening_matrix=numpy.random.random((10, 10, 10, 10)),
unmixing_matrix=numpy.random.random((10, 10, 10, 10)),
n_components=10, use_storage=False)
ica = IndependentComponents(source=timeseries, n_components=10, storage_path=storage_path)
ica.write_data_slice(partial_ica)
adapter_instance = StoreAdapter([ica])
OperationService().initiate_prelaunch(operation, adapter_instance, {})
return ica
def create_ICA(self, timeseries):
"""
:returns: persisted entity IndependentComponents
"""
operation, _, storage_path = self.__create_operation()
partial_ts = TimeSeries(use_storage=False)
partial_ts.data = numpy.random.random((10, 10, 10, 10))
partial_ica = IndependentComponents(source=partial_ts,
component_time_series=numpy.random.random((10, 10, 10, 10)),
prewhitening_matrix=numpy.random.random((10, 10, 10, 10)),
unmixing_matrix=numpy.random.random((10, 10, 10, 10)),
n_components=10, use_storage=False)
ica = IndependentComponents(source=timeseries, n_components=10, storage_path=storage_path)
ica.write_data_slice(partial_ica)
adapter_instance = StoreAdapter([ica])
OperationService().initiate_prelaunch(operation, adapter_instance, {})
return ica
def launch(self, time_series, n_components=None):
"""
Launch algorithm and build results.
"""
##--------- Prepare a IndependentComponents object for result ----------##
ica_result = IndependentComponents(source=time_series,
n_components=int(
self.algorithm.n_components),
storage_path=self.storage_path)
##------------- NOTE: Assumes 4D, Simulator timeSeries. --------------##
node_slice = [
slice(self.input_shape[0]), None,
slice(self.input_shape[2]),
slice(self.input_shape[3])
]
##---------- Iterate over slices and compose final result ------------##
small_ts = TimeSeries(use_storage=False)
for var in range(self.input_shape[1]):
node_slice[1] = slice(var, var + 1)
small_ts.data = time_series.read_data_slice(tuple(node_slice))
self.algorithm.time_series = small_ts
partial_ica = self.algorithm.evaluate()
ica_result.write_data_slice(partial_ica)
ica_result.close_file()
return ica_result
def launch(self, time_series, n_components=None):
"""
Launch algorithm and build results.
"""
##--------- Prepare a IndependentComponents object for result ----------##
ica_result = IndependentComponents(source=time_series,
n_components=int(self.algorithm.n_components),
storage_path=self.storage_path)
##------------- NOTE: Assumes 4D, Simulator timeSeries. --------------##
node_slice = [slice(self.input_shape[0]), None, slice(self.input_shape[2]), slice(self.input_shape[3])]
##---------- Iterate over slices and compose final result ------------##
small_ts = TimeSeries(use_storage=False)
for var in range(self.input_shape[1]):
node_slice[1] = slice(var, var + 1)
small_ts.data = time_series.read_data_slice(tuple(node_slice))
self.algorithm.time_series = small_ts
partial_ica = self.algorithm.evaluate()
ica_result.write_data_slice(partial_ica)
ica_result.close_file()
return ica_result
