質問編集履歴
1
エラー全文を追加
test
CHANGED
|
File without changes
|
test
CHANGED
|
@@ -9,8 +9,8 @@
|
|
|
9
9
|
### 発生している問題・エラーメッセージ
|
|
10
10
|
|
|
11
11
|
```
|
|
12
|
-
InvalidArgumentError Traceback (most recent call last)
|
|
12
|
+
InvalidArgumentError Traceback (most recent call last)
|
|
13
|
-
<ipython-input-2-d
|
|
13
|
+
<ipython-input-2-bb8e73d2cf55> in <module>
|
|
14
14
|
119 )
|
|
15
15
|
120 # 学習モデルにデータを与えて学習させる
|
|
16
16
|
--> 121 model.fit(
|
|
@@ -26,6 +26,93 @@
|
|
|
26
26
|
54 except core._NotOkStatusException as e:
|
|
27
27
|
|
|
28
28
|
InvalidArgumentError: Graph execution error:
|
|
29
|
+
|
|
30
|
+
2 root error(s) found.
|
|
31
|
+
(0) INVALID_ARGUMENT: ValueError: Input contains infinity or a value too large for dtype('float64').
|
|
32
|
+
Traceback (most recent call last):
|
|
33
|
+
|
|
34
|
+
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/script_ops.py", line 271, in __call__
|
|
35
|
+
ret = func(*args)
|
|
36
|
+
|
|
37
|
+
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py", line 642, in wrapper
|
|
38
|
+
return func(*args, **kwargs)
|
|
39
|
+
|
|
40
|
+
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/data/ops/dataset_ops.py", line 1039, in generator_py_func
|
|
41
|
+
values = next(generator_state.get_iterator(iterator_id))
|
|
42
|
+
|
|
43
|
+
File "/usr/local/lib/python3.8/dist-packages/keras/engine/data_adapter.py", line 901, in wrapped_generator
|
|
44
|
+
for data in generator_fn():
|
|
45
|
+
|
|
46
|
+
File "<ipython-input-2-bb8e73d2cf55>", line 36, in generator
|
|
47
|
+
data = StandardScaler().fit_transform(data.reshape(-1, 1)).reshape(data.shape)
|
|
48
|
+
|
|
49
|
+
File "/usr/local/lib/python3.8/dist-packages/sklearn/base.py", line 852, in fit_transform
|
|
50
|
+
return self.fit(X, **fit_params).transform(X)
|
|
51
|
+
|
|
52
|
+
File "/usr/local/lib/python3.8/dist-packages/sklearn/preprocessing/_data.py", line 806, in fit
|
|
53
|
+
return self.partial_fit(X, y, sample_weight)
|
|
54
|
+
|
|
55
|
+
File "/usr/local/lib/python3.8/dist-packages/sklearn/preprocessing/_data.py", line 841, in partial_fit
|
|
56
|
+
X = self._validate_data(
|
|
57
|
+
|
|
58
|
+
File "/usr/local/lib/python3.8/dist-packages/sklearn/base.py", line 566, in _validate_data
|
|
59
|
+
X = check_array(X, **check_params)
|
|
60
|
+
|
|
61
|
+
File "/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py", line 800, in check_array
|
|
62
|
+
_assert_all_finite(array, allow_nan=force_all_finite == "allow-nan")
|
|
63
|
+
|
|
64
|
+
File "/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py", line 114, in _assert_all_finite
|
|
65
|
+
raise ValueError(
|
|
66
|
+
|
|
67
|
+
ValueError: Input contains infinity or a value too large for dtype('float64').
|
|
68
|
+
|
|
69
|
+
|
|
70
|
+
[[{{node PyFunc}}]]
|
|
71
|
+
[[IteratorGetNext]]
|
|
72
|
+
[[IteratorGetNext/_8]]
|
|
73
|
+
(1) INVALID_ARGUMENT: ValueError: Input contains infinity or a value too large for dtype('float64').
|
|
74
|
+
Traceback (most recent call last):
|
|
75
|
+
|
|
76
|
+
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/script_ops.py", line 271, in __call__
|
|
77
|
+
ret = func(*args)
|
|
78
|
+
|
|
79
|
+
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py", line 642, in wrapper
|
|
80
|
+
return func(*args, **kwargs)
|
|
81
|
+
|
|
82
|
+
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/data/ops/dataset_ops.py", line 1039, in generator_py_func
|
|
83
|
+
values = next(generator_state.get_iterator(iterator_id))
|
|
84
|
+
|
|
85
|
+
File "/usr/local/lib/python3.8/dist-packages/keras/engine/data_adapter.py", line 901, in wrapped_generator
|
|
86
|
+
for data in generator_fn():
|
|
87
|
+
|
|
88
|
+
File "<ipython-input-2-bb8e73d2cf55>", line 36, in generator
|
|
89
|
+
data = StandardScaler().fit_transform(data.reshape(-1, 1)).reshape(data.shape)
|
|
90
|
+
|
|
91
|
+
File "/usr/local/lib/python3.8/dist-packages/sklearn/base.py", line 852, in fit_transform
|
|
92
|
+
return self.fit(X, **fit_params).transform(X)
|
|
93
|
+
|
|
94
|
+
File "/usr/local/lib/python3.8/dist-packages/sklearn/preprocessing/_data.py", line 806, in fit
|
|
95
|
+
return self.partial_fit(X, y, sample_weight)
|
|
96
|
+
|
|
97
|
+
File "/usr/local/lib/python3.8/dist-packages/sklearn/preprocessing/_data.py", line 841, in partial_fit
|
|
98
|
+
X = self._validate_data(
|
|
99
|
+
|
|
100
|
+
File "/usr/local/lib/python3.8/dist-packages/sklearn/base.py", line 566, in _validate_data
|
|
101
|
+
X = check_array(X, **check_params)
|
|
102
|
+
|
|
103
|
+
File "/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py", line 800, in check_array
|
|
104
|
+
_assert_all_finite(array, allow_nan=force_all_finite == "allow-nan")
|
|
105
|
+
|
|
106
|
+
File "/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py", line 114, in _assert_all_finite
|
|
107
|
+
raise ValueError(
|
|
108
|
+
|
|
109
|
+
ValueError: Input contains infinity or a value too large for dtype('float64').
|
|
110
|
+
|
|
111
|
+
|
|
112
|
+
[[{{node PyFunc}}]]
|
|
113
|
+
[[IteratorGetNext]]
|
|
114
|
+
0 successful operations.
|
|
115
|
+
0 derived errors ignored. [Op:__inference_train_function_7490]
|
|
29
116
|
```
|
|
30
117
|
|
|
31
118
|
|