From 5e2d0f93aa6c40257fd94d6e2e76ebac5d7f4284 Mon Sep 17 00:00:00 2001
From: benjas <909336740@qq.com>
Date: Wed, 24 Feb 2021 14:40:38 +0800
Subject: [PATCH] Fix. Some rules of PE8

---
 .../generate_polynomials.cpython-37.pyc       | Bin 1324 -> 1324 bytes
 .../generate_sinusoids.cpython-37.pyc         | Bin 636 -> 636 bytes
 .../__pycache__/normalize.cpython-37.pyc      | Bin 627 -> 627 bytes
 .../util/features/generate_polynomials.py     |   5 +++--
 .../util/features/generate_sinusoids.py       |   1 +
 .../util/features/normalize.py                |   4 ++--
 6 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/__pycache__/generate_polynomials.cpython-37.pyc b/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/__pycache__/generate_polynomials.cpython-37.pyc
index 56f6e4c1ce9de47ffd5bbfc1607736b82cdd4a82..c500306338cdea0d21f59893cc31ffe83f9ab84f 100644
GIT binary patch
delta 29
jcmZ3(wT6qwiI<m)0SH*Wm?muGnaIM(K6xHXFC#MmU%dv5

delta 29
jcmZ3(wT6qwiI<m)0SJyar^jyOnaIM(HhCUPFC!BGXWIu0

diff --git a/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/__pycache__/generate_sinusoids.cpython-37.pyc b/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/__pycache__/generate_sinusoids.cpython-37.pyc
index 6ecd5841799d766ed4dff694e2307d896e9cf8e2..ee17b28d68d53840f1ceb14179dc89a1ddf1b2ac 100644
GIT binary patch
delta 30
kcmeyv@`r`jiI<m)0SH*Wm?l(i<dtM%WSOka6vD_10CHvqYybcN

delta 30
kcmeyv@`r`jiI<m)0SJyar^i-o<dtM%WS*?f6vD^^0DAZa>Hq)$

diff --git a/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/__pycache__/normalize.cpython-37.pyc b/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/__pycache__/normalize.cpython-37.pyc
index 911b745cd5e55aaf669a512db3c48aa29ece76a1..9587ade8c08ff08b6f5f4c0319c9d87223ec629e 100644
GIT binary patch
delta 40
rcmey&@|lI#iI<m)0SI1xHcc?y$jivY%?{)h3xLEJCrdI#GBN`Iymtp`

delta 40
qcmey&@|lI#iI<m)0SJyar^lLX<Yi>yW&`qy1wdj<lO>rV8JPgF`3D66

diff --git a/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/generate_polynomials.py b/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/generate_polynomials.py
index 5db34e2..bca23e4 100644
--- a/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/generate_polynomials.py
+++ b/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/generate_polynomials.py
@@ -3,7 +3,8 @@
 import numpy as np
 from .normalize import normalize
 
-def generate_polynomials(dataset, polynomial_degree, normalize_data = False):
+
+def generate_polynomials(dataset, polynomial_degree, normalize_data=False):
     """变换方法：
     x1, x2, x1^2, x2^2, x1*x2, x1*x2^2, etc.
     """
@@ -40,4 +41,4 @@ def generate_polynomials(dataset, polynomial_degree, normalize_data = False):
     if normalize_data:
         polynomials = normalize(polynomials)[0]
 
-    return polynomials
\ No newline at end of file
+    return polynomials
diff --git a/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/generate_sinusoids.py b/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/generate_sinusoids.py
index d9b106e..3bbd203 100644
--- a/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/generate_sinusoids.py
+++ b/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/generate_sinusoids.py
@@ -1,5 +1,6 @@
 import numpy as np
 
+
 def generate_sinusoids(dataset, sinusoid_degree):
     """
     sin(x).
diff --git a/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/normalize.py b/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/normalize.py
index a04ede7..d4db28c 100644
--- a/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/normalize.py
+++ b/机器学习算法理论及应用/第二章——手写线性回归算法/util/features/normalize.py
@@ -3,8 +3,8 @@
 
 import numpy as np
 
-def normalize(features):
 
+def normalize(features):
     features_normalized = np.copy(features).astype(float)
 
     # 计算均值
@@ -21,4 +21,4 @@ def normalize(features):
     features_deviation[features_deviation == 0] = 1
     features_normalized /= features_deviation
 
-    return features_normalized, features_mean, features_deviation
\ No newline at end of file
+    return features_normalized, features_mean, features_deviation