Tensorflow/TFLearn 无法输入形状的值答案

【问题标题】：Tensorflor/TFLearn Cannot feed value of shapeTensorflow/TFLearn 无法输入形状的值
【发布时间】：2017-07-03 14:42:31
【问题描述】：

我想做TFLearn中的tensorflow例子“波士顿房价”。但我得到了形状错误。

这是我的代码：

    import tflearn   
    from tflearn.data_utils import load_csv

    data, target = load_csv('boston_train.csv', has_header=True)  
    input_ = tflearn.input_data(shape=[None, 9])   
    linear = tflearn.fully_connected(input_, 9)   
    regression = tflearn.regression(linear, optimizer='sgd', loss='mean_square', learning_rate=0.01)     
    m = tflearn.DNN(regression)
    m.fit(data, target, n_epoch=10, batch_size=10, show_metric=True)

我收到以下错误：

    ValueError: Cannot feed value of shape (10,) for Tensor 'TargetsData/Y:0', which has shape '(?, 9)'

csv 文件有 9 个特征和一个标签列。
我该怎么办？

【问题讨论】：

您的问题解决了吗？

标签： python tensorflow tflearn

【解决方案1】：

感谢您的回答！

问题解决了，代码如下：

import numpy as np
import tflearn
from tflearn.data_utils import load_csv
from numpy import genfromtxt


data, target = load_csv('boston_train.csv', has_header=True)
target = np.reshape(target, (-1,1))

net = tflearn.input_data(shape=[None, 9])
net = tflearn.fully_connected(net, 9)
net = tflearn.fully_connected(net, 1)
net = tflearn.regression(net, optimizer='sgd', loss='mean_square', learning_rate=0.01)
net = tflearn.DNN(net)
net.fit(data, target, n_epoch=10, batch_size=10, show_metric=True)

test_data = genfromtxt('boston_predict.csv', delimiter=',', skip_header = 1)
test_data = np.reshape(test_data, (-1,9))

pred = net.predict(test_data)
print(pred)

【讨论】：