jclevesque

# import the necessary packages
import argparse
import datetime
import imutils
import time
import cv2

import collections
 
# construct the argument parser and parse the arguments

jclevesque

import numpy as np
from sklearn.ensemble import GradientBoostingClassifier as GBC
import pandas as pd
import math
 
# Load training data
print('Loading training data.')
data_train = np.loadtxt( 'training.csv', delimiter=',', skiprows=1, converters={32: lambda x:int(x=='s'.encode('utf-8')) } )
 
# Pick a random seed for reproducible results. Choose wisely!