print("Success!!!\n\n")
# print("The accuracy of the model is:-")
# print(test_acc * 100)
# ==========================================================================================
# ================
# MAIN PROCESSING
# ================
# ==========================================================================================
# Fetching data for trainig the model
print("Reading the data from the files...\n\n")
train_path = "./raw/train/"
data = obj.read_data(train_path)
print("Preprocessing the data loaded...\n\n")
data, le = obj.preprocess_data(data)
# Function for splitting the data in the train and the test set for a particular class
# We are keeping the data for 17 people in the train set and rest in the test set
train_data = data[data["id"] < 1616]
test_data = data[data["id"] > 1615]
# Splitting the data in segments
print("Splitting the train data into segments for training...\n\n")
x_train, y_train = obj.segments(train_data, TIME_PERIODS, STEP_DISTANCE,
'label')
print("Splitting the train data into segments for training...\n\n")
x_test, y_test = obj.segments(test_data, TIME_PERIODS, STEP_DISTANCE, 'label')
