#chap 8 AdaBoost
import DatasetUtil as DU
import AdaBoost as Ada
import numpy as np
if __name__ == "__main__":
print("\t============ Chap8 AdaBoost ============")
ds = DU.DATAUtil()
xx, yy = ds.load(True, r".\dataset.dat")
print("\t ===== Do Initializing =====")
model = Ada.Boosting()
print("\t ===== Do Training =====")
model.train(xx, yy)
print("\t ===== Do Testing =====")
xx_t, yy_t = ds.load(True, r".\testds.dat")
yy_t = np.squeeze(yy_t)
y_p = model.predict(xx_t)
yy_p = ds.y_int2str(y_p)
print(" Test Result is: ")
print(yy_p)
eval_y = np.zeros_like(yy_t, dtype=float)
eval_y[np.where(yy_t == y_p)] = 1.0
print(" Test result precision is {:.2%}".format(eval_y.sum() /
eval_y.shape[0]))
