質問編集履歴
2
ソースコードを追記しました
test
CHANGED
|
File without changes
|
test
CHANGED
|
@@ -6,7 +6,7 @@
|
|
|
6
6
|
|
|
7
7
|
|
|
8
8
|
|
|
9
|
-
|
|
9
|
+
```
|
|
10
10
|
|
|
11
11
|
Using TensorFlow backend.
|
|
12
12
|
|
|
@@ -149,3 +149,5 @@
|
|
|
149
149
|
ImportError: cannot import name 'matrix_rank' from 'tensorflow.python.ops.linalg.linalg_impl' (C:\Users\user\Anaconda3\lib\site-packages\tensorflow_core\python\ops\linalg\linalg_impl.py)
|
|
150
150
|
|
|
151
151
|
---------------------------------------------------------------------------
|
|
152
|
+
|
|
153
|
+
```
|
1
コードブロックに入れました！
test
CHANGED
|
File without changes
|
test
CHANGED
|
@@ -2,157 +2,11 @@
|
|
|
2
2
|
|
|
3
3
|
何が悪くて出てしまっているのでしょうか。
|
|
4
4
|
|
|
5
|
-
pandas,tensorflow,kerasも使っています
|
|
5
|
+
pandas,tensorflow,kerasも使っています
|
|
6
|
-
|
|
7
|
-
|
|
8
|
-
|
|
9
|
-
ソースコード
|
|
10
|
-
|
|
11
|
-
```
|
|
12
|
-
|
|
13
|
-
from __future__ import print_function
|
|
14
|
-
|
|
15
|
-
|
|
16
|
-
|
|
17
|
-
import pandas as pd
|
|
18
|
-
|
|
19
|
-
from pandas import Series,DataFrame
|
|
20
|
-
|
|
21
|
-
|
|
22
|
-
|
|
23
|
-
from sklearn import svm
|
|
24
|
-
|
|
25
|
-
from sklearn.model_selection import train_test_split
|
|
26
|
-
|
|
27
|
-
from sklearn.metrics import accuracy_score
|
|
28
|
-
|
|
29
|
-
|
|
30
|
-
|
|
31
|
-
import numpy as np
|
|
32
|
-
|
|
33
|
-
import matplotlib.pyplot as plt
|
|
34
|
-
|
|
35
|
-
|
|
36
|
-
|
|
37
|
-
import keras
|
|
38
|
-
|
|
39
|
-
from keras.datasets import fashion_mnist
|
|
40
|
-
|
|
41
|
-
from keras.models import Sequential
|
|
42
|
-
|
|
43
|
-
from keras.layers import Dense, Dropout
|
|
44
|
-
|
|
45
|
-
from keras.optimizers import RMSprop
|
|
46
|
-
|
|
47
|
-
from keras.optimizers import Adam
|
|
48
|
-
|
|
49
|
-
|
|
50
|
-
|
|
51
|
-
|
|
52
|
-
|
|
53
|
-
csvdataset = pd.read_csv("Train_Random.csv",header=0)
|
|
54
|
-
|
|
55
|
-
|
|
56
|
-
|
|
57
|
-
#説明変数
|
|
58
|
-
|
|
59
|
-
x = DataFrame(csvdataset.drop("Result",axis=1))
|
|
60
|
-
|
|
61
|
-
|
|
62
|
-
|
|
63
|
-
#目的変数
|
|
64
|
-
|
|
65
|
-
y = DataFrame(csvdataset["Result"])
|
|
66
6
|
|
|
67
7
|
|
|
68
8
|
|
|
69
9
|
|
|
70
|
-
|
|
71
|
-
#説明変数・目的変数をそれぞれ訓練データ・テストデータに分割
|
|
72
|
-
|
|
73
|
-
x_train,x_test,y_train,y_test = train_test_split(x,y,test_size=0.08)
|
|
74
|
-
|
|
75
|
-
|
|
76
|
-
|
|
77
|
-
|
|
78
|
-
|
|
79
|
-
#データの整形
|
|
80
|
-
|
|
81
|
-
x_train = x_train.astype(np.float)
|
|
82
|
-
|
|
83
|
-
x_test = x_test.astype(np.float)
|
|
84
|
-
|
|
85
|
-
|
|
86
|
-
|
|
87
|
-
y_train = keras.utils.to_categorical(y_train,10)
|
|
88
|
-
|
|
89
|
-
y_test = keras.utils.to_categorical(y_test,10)
|
|
90
|
-
|
|
91
|
-
|
|
92
|
-
|
|
93
|
-
|
|
94
|
-
|
|
95
|
-
#ニューラルネットワークの実装①
|
|
96
|
-
|
|
97
|
-
model = Sequential()
|
|
98
|
-
|
|
99
|
-
|
|
100
|
-
|
|
101
|
-
model.add(Dense(60, activation='relu', input_shape=(59,)))
|
|
102
|
-
|
|
103
|
-
model.add(Dropout(0.2))
|
|
104
|
-
|
|
105
|
-
|
|
106
|
-
|
|
107
|
-
model.add(Dense(60, activation='relu', input_shape=(59,)))
|
|
108
|
-
|
|
109
|
-
model.add(Dropout(0.2))
|
|
110
|
-
|
|
111
|
-
|
|
112
|
-
|
|
113
|
-
model.add(Dense(60, activation='relu', input_shape=(59,)))
|
|
114
|
-
|
|
115
|
-
model.add(Dropout(0.2))
|
|
116
|
-
|
|
117
|
-
|
|
118
|
-
|
|
119
|
-
model.add(Dense(10, activation='softmax'))
|
|
120
|
-
|
|
121
|
-
|
|
122
|
-
|
|
123
|
-
model.summary()
|
|
124
|
-
|
|
125
|
-
print("\n")
|
|
126
|
-
|
|
127
|
-
|
|
128
|
-
|
|
129
|
-
#ニューラルネットワークの実装②
|
|
130
|
-
|
|
131
|
-
model.compile(loss='mean_squared_error',optimizer=RMSprop(),metrics=['accuracy'])
|
|
132
|
-
|
|
133
|
-
|
|
134
|
-
|
|
135
|
-
#ニューラルネットワークの学習
|
|
136
|
-
|
|
137
|
-
history = model.fit(x_train, y_train,batch_size=200,epochs=100,verbose=1,validation_data=(x_test, y_test))
|
|
138
|
-
|
|
139
|
-
|
|
140
|
-
|
|
141
|
-
#ニューラルネットワークの推論
|
|
142
|
-
|
|
143
|
-
score = model.evaluate(x_test,y_test,verbose=1)
|
|
144
|
-
|
|
145
|
-
print("\n")
|
|
146
|
-
|
|
147
|
-
print("Test loss:",score[0])
|
|
148
|
-
|
|
149
|
-
print("Test accuracy:",score[1])
|
|
150
|
-
|
|
151
|
-
```
|
|
152
|
-
|
|
153
|
-
エラーコード
|
|
154
|
-
|
|
155
|
-
```
|
|
156
10
|
|
|
157
11
|
Using TensorFlow backend.
|
|
158
12
|
|
|
@@ -295,5 +149,3 @@
|
|
|
295
149
|
ImportError: cannot import name 'matrix_rank' from 'tensorflow.python.ops.linalg.linalg_impl' (C:\Users\user\Anaconda3\lib\site-packages\tensorflow_core\python\ops\linalg\linalg_impl.py)
|
|
296
150
|
|
|
297
151
|
---------------------------------------------------------------------------
|
|
298
|
-
|
|
299
|
-
```
|