喂养稀疏数据到Tensorflow估计的拟合

我转换标签成稀疏的稀疏标签元组（索引，值，形状）。但是，当我将它馈送给分类器时，我遇到此错误：喂养稀疏数据到Tensorflow估计的拟合

Traceback (most recent call last): 
    File ..., line 23, in <module> 
    classifier.fit(x=x_train, y=sparse_y_train, batch_size=128, steps=10) 
    File "...tensorflow\python\util\deprecation.py", line 316, in new_func 
    return func(*args, **kwargs) 
    File "...tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 464, in fit 
    SKCompat(self).fit(x, y, batch_size, steps, max_steps, monitors) 
    File "...tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 1429, in fit 
    epochs=None) 
    File "...tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 139, in _get_input_fn 
    epochs=epochs) 
    File "...tensorflow\contrib\learn\python\learn\learn_io\data_feeder.py", line 151, in setup_train_data_feeder 
    x, y, n_classes, batch_size, shuffle=shuffle, epochs=epochs) 
    File "...tensorflow\contrib\learn\python\learn\learn_io\data_feeder.py", line 326, in __init__ 
    if y_is_dict else check_array(y, y.dtype)) 
AttributeError: 'tuple' object has no attribute 'dtype'

如何向分类器中提供稀疏元组？

来源

2017-12-18 Rocket Pingu

的错误信息是很清楚的写着“元组”没有“D型”的属性。你可能想将你的标签转换为一个numpy数组（只有值）？

来源

2017-12-21 21:54:05 Xinming

我喂了密集的标签进入到装配功能，而不是那些稀疏并做了model_function内的转换。不过，我在面对现在这个问题讨论了这个错误： https://stackoverflow.com/questions/48201725/converting-tensor-to-a-sparsetensor-for-ctc-loss?noredirect=1#comment83393474_48201725 –

喂养稀疏数据到Tensorflow估计的拟合

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