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)