代码：
import pandas as pdimport tensorflow as tfimport matplotlib as pltdata=pd.read_csv("datasets/credit-a.csv",header=None)print(data.head())print(data.iloc[:,-1].value_counts())#.iloc[]与loc一样，中括号里面也是先行后列，行列标签用逗号分割#data.iloc[:,-1].replace(-1,0)x=data.iloc[:,:-1]#所有行，除了最后一列的所有列y=data.iloc[:,-1].replace(-1,0)#用0替换掉改列所有的-1model=tf.keras.Sequential()model.add(tf.keras.layers.Dense(4,input_shape=(15,),activation='relu'))model.add(tf.keras.layers.Dense(4,activation='relu'))model.add(tf.keras.layers.Dense(1,activation='sigmoid'))model.summary()print("-----------------")model.compile(optimizer='adam',loss='binary_crossentropy',metircs=['acc'])history=model.fit(x,y,epochs=100)history.history.keys()plt.title('model loss')plt.ylabel('loss')plt.xlabel('epochs')plt.plot(history.epoch,history.history.get('loss'))plt.show()#model.evaluate(x,y)报错：
D:\Python\Anaconda3\python.exe D:/Python/workspace/Deeplearning/tensorflow2/Logisticsregression.py
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
0 0 30.83 0.000 0 0 9 0 1.25 0 0 1 1 0 202 0.0 -1
1 1 58.67 4.460 0 0 8 1 3.04 0 0 6 1 0 43 560.0 -1
2 1 24.50 0.500 0 0 8 1 1.50 0 1 0 1 0 280 824.0 -1
3 0 27.83 1.540 0 0 9 0 3.75 0 0 5 0 0 100 3.0 -1
4 0 20.17 5.625 0 0 9 0 1.71 0 1 0 1 2 120 0.0 -1
1 357
-1 296
Name: 15, dtype: int64
2019-11-22 16:51:11.891738: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 4) 64
_________________________________________________________________
dense_1 (Dense) (None, 4) 20
_________________________________________________________________
dense_2 (Dense) (None, 1) 5
=================================================================
Total params: 89
Trainable params: 89
Non-trainable params: 0
_________________________________________________________________
-----------------
WARNING:tensorflow:Falling back from v2 loop because of error: Failed to find data adapter that can handle input: ,
Traceback (most recent call last):
File "D:/Python/workspace/Deeplearning/tensorflow2/Logisticsregression.py", line 20, in
history=model.fit(x,y,epochs=100)
File "D:\Python\Anaconda3\lib\site-packages\tensorflow_core\python\keras\engine\training.py", line 728, in fit
use_multiprocessing=use_multiprocessing)
File "D:\Python\Anaconda3\lib\site-packages\tensorflow_core\python\keras\engine\training_arrays.py", line 674, in fit
steps_name='steps_per_epoch')
File "D:\Python\Anaconda3\lib\site-packages\tensorflow_core\python\keras\engine\training_arrays.py", line 189, in model_iteration
f = _make_execution_function(model, mode)
File "D:\Python\Anaconda3\lib\site-packages\tensorflow_core\python\keras\engine\training_arrays.py", line 565, in _make_execution_function
return model._make_execution_function(mode)
File "D:\Python\Anaconda3\lib\site-packages\tensorflow_core\python\keras\engine\training.py", line 2184, in _make_execution_function
self._make_train_function()
File "D:\Python\Anaconda3\lib\site-packages\tensorflow_core\python\keras\engine\training.py", line 2133, in _make_train_function
**self._function_kwargs)
File "D:\Python\Anaconda3\lib\site-packages\tensorflow_core\python\keras\backend.py", line 3772, in function
'eager execution. You passed: %s' % (kwargs,))
ValueError: Session keyword arguments are not support during eager execution. You passed: {'metircs': ['acc']}
Process finished with exit code 1 |
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