def _build_raw_matrix_path(self):
if not self.pat_batch_ind:
template = '%s-normality-matrix-%d-episodes-raw.tab'
else:
template = '%s-normality-matrix-%d-episodes-raw-'+str(self.pat_batch_ind)+'.tab'
pipeline_file_name = inspect.getfile(inspect.currentframe())
return SupervisedLearningPipeline._build_matrix_path(self, template, \
pipeline_file_name)
def _build_processed_matrix_path(self):
processed_matrix_filename = '%s-normality-matrix-processed.tab' % self._var #
processed_matrix_path = os.path.join('data', self._var, processed_matrix_filename) # TODO
return processed_matrix_path
if not self._holdOut:
template = '%s-normality-matrix-processed.tab'
else:
template = '%s-normality-matrix-%d-episodes-processed-holdout.tab'
pipeline_file_path = inspect.getfile(inspect.currentframe())
return SupervisedLearningPipeline._build_matrix_path(self, template, \
pipeline_file_path)
def _build_raw_matrix_path(self):
raw_matrix_filename = '%s-normality-matrix-raw.tab' % self._var #
raw_matrix_filepath = os.path.join('data', self._var, raw_matrix_filename) # TODO
if not os.path.exists('data'):
os.mkdir('data')
if not os.path.exists(os.path.join('data', self._var)):
os.mkdir(os.path.join('data', self._var))
return raw_matrix_filepath
if not self._holdOut:
template = '%s-normality-matrix-raw.tab'
else:
template = '%s-normality-matrix-%d-episodes-raw-holdout.tab'
pipeline_file_name = inspect.getfile(inspect.currentframe())
return SupervisedLearningPipeline._build_matrix_path(self, template, \
pipeline_file_name)
def _build_processed_matrix_path(self, raw_matrix_path):
template = '%s-change-matrix-%d-episodes-processed.tab'
pipeline_file_path = inspect.getfile(inspect.currentframe())
return SupervisedLearningPipeline._build_matrix_path(self, template, \
pipeline_file_path)
def _build_composite_raw_matrix_path(self):
template = '%s-normality-matrix-%d-episodes-raw.tab'
pipeline_file_name = inspect.getfile(inspect.currentframe())
return SupervisedLearningPipeline._build_matrix_path(self, template, \
pipeline_file_name)
