Tflearn KeyError异常[]不是在指数

Question

我有这样的代码，我想我做错了什么，在神经网络日数据进行去输入（神经网络仅仅是临时）

这里是我的代码：

import pandas as pd 
import numpy as np 
from sklearn.model_selection import train_test_split 
from sklearn import preprocessing 

import tflearn 

data = pd.read_csv('winequality-white.csv', sep=';') 

X = data[['fixed acidity', 
     'volatile acidity', 
     'citric acid', 
     'residual sugar', 
     'chlorides', 
     'free sulfur dioxide', 
     'total sulfur dioxide', 
     'density', 
     'pH', 
     'sulphates', 
     'alcohol']] 
y = data['quality'] 

X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.1) 


# Build neural network 
net = tflearn.input_data(shape=[None, 11]) 
net = tflearn.fully_connected(net, 110) 

net = tflearn.regression(net) 

# Define model 
model = tflearn.DNN(net) 
# Start training (apply gradient descent algorithm) 
model.fit(X_train, y_train, n_epoch=10, batch_size=1, show_metric=True) 

我使用的数据是这样的：

"fixed acidity";"volatile acidity";"citric acid";"residual sugar";"chlorides";"free sulfur dioxide";"total sulfur dioxide";"density";"pH";"sulphates";"alcohol";"quality" 
7;0.27;0.36;20.7;0.045;45;170;1.001;3;0.45;8.8;6 
6.3;0.3;0.34;1.6;0.049;14;132;0.994;3.3;0.49;9.5;6 
8.1;0.28;0.4;6.9;0.05;30;97;0.9951;3.26;0.44;10.1;6 
7.2;0.23;0.32;8.5;0.058;47;186;0.9956;3.19;0.4;9.9;6 
7.2;0.23;0.32;8.5;0.058;47;186;0.9956;3.19;0.4;9.9;6 
8.1;0.28;0.4;6.9;0.05;30;97;0.9951;3.26;0.44;10.1;6 
6.2;0.32;0.16;7;0.045;30;136;0.9949;3.18;0.47;9.6;6 
... 

这是错误我得到：

=== RESTART: /home/tux/Schreibtisch/Projects/Wineclassifier/classifier.py === 
hdf5 is not supported on this machine (please install/reinstall h5py for optimal experience) 
--------------------------------- 
Run id: Q6AJQP 
Log directory: /tmp/tflearn_logs/ 
---------------------------------Exception in thread Thread-3: 
Traceback (most recent call last): 
    File "/usr/lib/python3.5/threading.py", line 914, in _bootstrap_inner 
    self.run() 
    File "/usr/lib/python3.5/threading.py", line 862, in run 
    self._target(*self._args, **self._kwargs) 
    File "/usr/local/lib/python3.5/dist-packages/tflearn/data_flow.py", line 187, in fill_feed_dict_queue 
    data = self.retrieve_data(batch_ids) 
    File "/usr/local/lib/python3.5/dist-packages/tflearn/data_flow.py", line 222, in retrieve_data 
    utils.slice_array(self.feed_dict[key], batch_ids) 
    File "/usr/local/lib/python3.5/dist-packages/tflearn/utils.py", line 187, in slice_array 
    return X[start] 
    File "/usr/local/lib/python3.5/dist-packages/pandas/core/frame.py", line 2056, in __getitem__ 
    return self._getitem_array(key) 
    File "/usr/local/lib/python3.5/dist-packages/pandas/core/frame.py", line 2100, in _getitem_array 
    indexer = self.loc._convert_to_indexer(key, axis=1) 
    File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexing.py", line 1231, in _convert_to_indexer 
    raise KeyError('%s not in index' % objarr[mask]) 
KeyError: '[3374] not in index' 


Training samples: 4408 
Validation samples: 0 
-- 

有人知道什么是错的？

Answer 1

在代码的开头放置以下代码以重置图形。如果您在IPython环境中交互式运行代码，张量流图可能会变得非常混乱。

import tensorflow as tf 
tf.reset_default_graph() 

很多人和你一样穿着鞋子。有关更多详细信息，请参阅this Github问题。