Python Processing_DB_Files.calculating_features Beispiele

Beispiel #1

Datei: outlier_commons.py Projekt: SensorNet-UFAL/NewActivityRecognition

 def outlier_prepare(self, model:Model, people:str, windows_size:int, activity_outlier:str):
     processing = Processing_DB_Files()
     model.load_training_data_by_window_by_people(people, windows_size)
     training, training_labels, test, test_labels = processing.calculating_features(model)
     return self.generate_outliers(training, training_labels, test, test_labels, activity_outlier)

Beispiel #2

# -*- coding: utf-8 -*-
from utils.debug import Debug
from models.hmp_model import HMP_Model
from pre_processing.processing_db_files import Processing_DB_Files
from outlier.outlier_commons import Outlier_Commons

# INITIALIZATION #
Debug.DEBUG = 1
hmp = HMP_Model()
outlier = Outlier_Commons()

# PROCESSING #
processing = Processing_DB_Files()
hmp.load_training_data_by_window_by_people('f1', 50)
training, training_labels, test, test_labels = processing.calculating_features(
    hmp)
training_outlier, training_labels_outlier, test_outlier, test_labels_outlier, \
outlier, outlier_labels = outlier.generate_outliers(training, training_labels, test, test_labels, "drink_glass")