def execute(self, data_path, numSeriatedTerms=None):
assert data_path is not None
if numSeriatedTerms is None:
numSeriatedTerms = ComputeSeriation.DEFAULT_NUM_SERIATED_TERMS
self.logger.info(
'--------------------------------------------------------------------------------'
)
self.logger.info('Computing term seriation...')
self.logger.info(' data_path = %s', data_path)
self.logger.info(' number_of_seriated_terms = %d', numSeriatedTerms)
self.logger.info('Connecting to data...')
self.saliency = SaliencyAPI(data_path)
self.similarity = SimilarityAPI(data_path)
self.seriation = SeriationAPI(data_path)
self.logger.info('Reading data from disk...')
self.saliency.read()
self.similarity.read()
self.logger.info('Reshaping saliency data...')
self.reshape()
self.logger.info('Computing seriation...')
self.compute(numSeriatedTerms)
self.logger.info('Writing data to disk...')
self.seriation.write()
self.logger.info(
'--------------------------------------------------------------------------------'
)
def execute(self, data_path):
assert data_path is not None
self.logger.info(
'--------------------------------------------------------------------------------'
)
self.logger.info('Preparing data for client...')
self.logger.info(' data_path = %s', data_path)
self.logger.info('Connecting to data...')
self.model = ModelAPI(data_path)
self.saliency = SaliencyAPI(data_path)
self.seriation = SeriationAPI(data_path)
self.client = ClientAPI(data_path)
self.logger.info('Reading data from disk...')
self.model.read()
self.saliency.read()
self.seriation.read()
self.logger.info('Preparing parameters for seriated matrix...')
self.prepareSeriatedParameters()
self.logger.info('Preparing parameters for filtered matrix...')
self.prepareFilteredParameters()
self.logger.info('Preparing global term freqs...')
self.prepareGlobalTermFreqs()
self.logger.info('Writing data to disk...')
self.client.write()
