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prep_terrain_data.py
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prep_terrain_data.py
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#!/usr/bin/python
# coding= utf-8
import random
# make the toy dataset 获得玩具的数据集
def makeTerrainData(n_points=1000):
random.seed(42)
grade = [random.random() for ii in range(0, n_points)]
bumpy = [random.random() for ii in range(0, n_points)]
error = [random.random() for ii in range(0, n_points)]
y = [round(grade[ii] * bumpy[ii] + 0.3 + 0.1 * error[ii]) for ii in range(0, n_points)]
for ii in range(0, len(y)):
if grade[ii] > 0.8 or bumpy[ii] > 0.8:
y[ii] = 1.0
# split into train/test sets 训练集和测试集的分离
X = [[gg, ss] for gg, ss in zip(grade, bumpy)]
split = int(0.75 * n_points)
X_train = X[0:split]
X_test = X[split:]
y_train = y[0:split]
y_test = y[split:]
grade_sig = [X_train[ii][0] for ii in range(0, len(X_train)) if y_train[ii] == 0]
bumpy_sig = [X_train[ii][1] for ii in range(0, len(X_train)) if y_train[ii] == 0]
grade_bkg = [X_train[ii][0] for ii in range(0, len(X_train)) if y_train[ii] == 1]
bumpy_bkg = [X_train[ii][1] for ii in range(0, len(X_train)) if y_train[ii] == 1]
# training_data = {"fast":{"grade":grade_sig, "bumpiness":bumpy_sig}
# , "slow":{"grade":grade_bkg, "bumpiness":bumpy_bkg}}
grade_sig = [X_test[ii][0] for ii in range(0, len(X_test)) if y_test[ii] == 0]
bumpy_sig = [X_test[ii][1] for ii in range(0, len(X_test)) if y_test[ii] == 0]
grade_bkg = [X_test[ii][0] for ii in range(0, len(X_test)) if y_test[ii] == 1]
bumpy_bkg = [X_test[ii][1] for ii in range(0, len(X_test)) if y_test[ii] == 1]
test_data = {"fast": {"grade": grade_sig, "bumpiness": bumpy_sig}
, "slow": {"grade": grade_bkg, "bumpiness": bumpy_bkg}}
return X_train, y_train, X_test, y_test
# return training_data, test_data