Question

我有这个代码，我认为我在神经网络中输入de数据时做错了（神经网络只是临时的）

这是我的代码：

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)

我使用的数据如下所示：

"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
...

这是我得到的错误：

=== 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
--

有人知道错了吗？

Answer 1

将以下代码放在代码的开头以重置图表。如果您在IPython环境中以交互方式运行代码，则tensorflow图可能会变得非常混乱。

import tensorflow as tf
tf.reset_default_graph()

许多人和你一样穿着同样的鞋子。有关更多详细信息，请参阅this Github问题。

Tflearn KeyError []不在索引中

1 个答案: