Krasでの入力データのエラー

Question

Kerasで学習させようと思い、実行したところ
Cast string to float is not supportednoのエラーがでます。
CSVを数値にしたと思ったのですが、なかなか改善されません・・・。
そもそもこのエラーは、文字列から数値に変更するだけで問題ないでしょうか？

import numpy as np
import csv
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Input

train_data=[]
train_label =[]
test_data = []
with open('result.csv') as f:
    reader = csv.reader(f)
    for row in reader:
        train_data.append(row)
        #train_data = np.array(row)
        #print(train_data)

with open('resulttime.csv') as f:
    reader = csv.reader(f)
    for row in reader:
        train_label.append(row)

with open('test.csv') as f:
    reader = csv.reader(f)
    for row in reader:
        test_data.append(row)

train_data1 = np.array(train_data)
train_label1 = np.array(train_label)

# Sequentialモデル使用(Sequentialモデルはレイヤを順に重ねたモデル)
model = Sequential()

# 全結合層(2層->4層)
model.add(Dense(4, input_dim=1645, activation="tanh"))

# 結合層(4層->1層)：入力次元を省略すると自動的に前の層の出力次元数を引き継ぐ
model.add(Dense(1, activation="sigmoid"))

# モデルをコンパイル
model.compile(loss="binary_crossentropy", optimizer="sgd", metrics=["accuracy"])

model.summary()

#訓練
model.fit(train_data1,train_label1, epochs=300)
model.save('model.h5')

020-03-17 15:19:13.444838: W tensorflow/core/framework/op_kernel.cc:1632] OP_REQUIRES failed at cast_op.cc:123 : Unimplemented: Cast string to float is not supported
2020-03-17 15:19:13.444987: E tensorflow/core/common_runtime/executor.cc:654] Executor failed to create kernel. Unimplemented: Cast string to float is not supported
	 [[{{node Cast}}]]
Traceback (most recent call last):
  File "C:/Users/ishido.y/PycharmProjects/NLC/deeplearning.py", line 44, in <module>
    model.fit(train_data1,train_label1, epochs=300)
  File "C:\Users\ishido.y\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow_core\python\keras\engine\training.py", line 819, in fit
    use_multiprocessing=use_multiprocessing)
  File "C:\Users\ishido.y\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow_core\python\keras\engine\training_v2.py", line 342, in fit
    total_epochs=epochs)
  File "C:\Users\ishido.y\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow_core\python\keras\engine\training_v2.py", line 128, in run_one_epoch
    batch_outs = execution_function(iterator)
  File "C:\Users\ishido.y\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow_core\python\keras\engine\training_v2_utils.py", line 98, in execution_function
    distributed_function(input_fn))
  File "C:\Users\ishido.y\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow_core\python\eager\def_function.py", line 568, in __call__
    result = self._call(*args, **kwds)
  File "C:\Users\ishido.y\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow_core\python\eager\def_function.py", line 632, in _call
    return self._stateless_fn(*args, **kwds)
  File "C:\Users\ishido.y\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow_core\python\eager\function.py", line 2363, in __call__
    return graph_function._filtered_call(args, kwargs)  # pylint: disable=protected-access
  File "C:\Users\ishido.y\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow_core\python\eager\function.py", line 1611, in _filtered_call
    self.captured_inputs)
  File "C:\Users\ishido.y\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow_core\python\eager\function.py", line 1692, in _call_flat
    ctx, args, cancellation_manager=cancellation_manager))
  File "C:\Users\ishido.y\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow_core\python\eager\function.py", line 545, in call
    ctx=ctx)
  File "C:\Users\ishido.y\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow_core\python\eager\execute.py", line 67, in quick_execute
    six.raise_from(core._status_to_exception(e.code, message), None)
  File "<string>", line 3, in raise_from
tensorflow.python.framework.errors_impl.UnimplementedError:  Cast string to float is not supported
	 [[node Cast (defined at /Users/ishido.y/PycharmProjects/NLC/deeplearning.py:44) ]] [Op:__inference_distributed_function_593]

Function call stack:
distributed_function

Answer 1

そもそもこのエラーは、文字列から数値に変更するだけで問題ないでしょうか？

ここで言う「数値」の意味が分かりませんが、「string型で表した数値の文字列をfloat型にキャストする」という意味であれば合っていると思います。
（「string型で表した数値の文字列」を「（float型などの）数値」だと思っているのが原因な気がします）

Comments

[y.isshi]

ご回答ありがとうございます。
たしかにその通りでした・・・