質問編集履歴
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ソースコードを追記しました
test
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何が悪くて出てしまっているのでしょうか。
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pandas,tensorflow,kerasも使っています
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pandas,tensorflow,kerasも使っています。
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ソースコード
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```
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from __future__ import print_function
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import pandas as pd
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from pandas import Series,DataFrame
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from sklearn import svm
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from sklearn.model_selection import train_test_split
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from sklearn.metrics import accuracy_score
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import numpy as np
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import matplotlib.pyplot as plt
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import keras
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from keras.datasets import fashion_mnist
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from keras.models import Sequential
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from keras.layers import Dense, Dropout
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from keras.optimizers import RMSprop
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from keras.optimizers import Adam
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csvdataset = pd.read_csv("Train_Random.csv",header=0)
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#説明変数
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x = DataFrame(csvdataset.drop("Result",axis=1))
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#目的変数
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y = DataFrame(csvdataset["Result"])
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#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
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x_train,x_test,y_train,y_test = train_test_split(x,y,test_size=0.08)
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#データの整形
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x_train = x_train.astype(np.float)
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x_test = x_test.astype(np.float)
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y_train = keras.utils.to_categorical(y_train,10)
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y_test = keras.utils.to_categorical(y_test,10)
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#ニューラルネットワークの実装①
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model = Sequential()
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model.add(Dense(60, activation='relu', input_shape=(59,)))
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model.add(Dropout(0.2))
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model.add(Dense(60, activation='relu', input_shape=(59,)))
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model.add(Dropout(0.2))
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model.add(Dense(60, activation='relu', input_shape=(59,)))
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model.add(Dropout(0.2))
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model.add(Dense(10, activation='softmax'))
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model.summary()
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print("\n")
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#ニューラルネットワークの実装②
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model.compile(loss='mean_squared_error',optimizer=RMSprop(),metrics=['accuracy'])
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#ニューラルネットワークの学習
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history = model.fit(x_train, y_train,batch_size=200,epochs=100,verbose=1,validation_data=(x_test, y_test))
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#ニューラルネットワークの推論
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score = model.evaluate(x_test,y_test,verbose=1)
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print("\n")
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print("Test loss:",score[0])
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print("Test accuracy:",score[1])
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```
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エラーコード
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```
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1
コードブロックに入れました！
test
CHANGED
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File without changes
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test
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```
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Using TensorFlow backend.
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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)
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---------------------------------------------------------------------------
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```
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