def _build_raw_feature_matrix(self):
raw_matrix_path = self._build_raw_matrix_path()
matrix_class = LabNormalityMatrix
SupervisedLearningPipeline._build_raw_feature_matrix(self, matrix_class, \
raw_matrix_path)
if not self._holdOut:
fm_io = FeatureMatrixIO()
matrix = fm_io.read_file_to_data_frame(raw_matrix_path)
self.usedPatIds = set(matrix['pat_id'].values)
def _build_raw_feature_matrix(self):
raw_matrix_path = self._build_raw_matrix_path()
matrix_class = LabChangeMatrix
SupervisedLearningPipeline._build_raw_feature_matrix(self, matrix_class, \
raw_matrix_path)
def _build_composite_raw_feature_matrix(self):
composite_raw_matrix_path = self._build_composite_raw_matrix_path()
matrix_class = AntiBiogramMatrix
SupervisedLearningPipeline._build_raw_feature_matrix(self, matrix_class, \
composite_raw_matrix_path)
def _build_raw_feature_matrix(self):
raw_matrix_path = self._build_raw_matrix_path()
matrix_class = ComponentNormalityMatrix
SupervisedLearningPipeline._build_raw_feature_matrix(self, matrix_class, \
raw_matrix_path)
