我正在尝试使用pylearn2构建MLP模型。但是关于如何导入外部数据的手册并不明确（所有教程都使用MNSIT数据）。
所以，我的数据是CSV文件：
0 0.129 -0.234 0.394 ...
0 0.293 -0.394 0.234 ...
1 0.192 -0.842 0.123 ...
...
所以它是一个矩阵，第一列是要预测的值，其他列是属性。我甚至不知道这是否是正确的输入。
这是我的YAML文件：
!obj:pylearn2.train.Train {
dataset: &train !obj:pylearn2.datasets.csv_dataset.CSVDataset {
path: 'train.csv',
task: 'regression',
start: 0,
stop: 53607,
expect_headers: False,
num_outputs: 1
},
model: !obj:pylearn2.models.mlp.MLP {
layers : [
!obj:pylearn2.models.mlp.Sigmoid {
layer_name: 'h0',
dim: 10,
irange: .05
},
!obj:pylearn2.models.mlp.Softmax {
layer_name: 'y',
n_classes: 2,
irange: 0.
},
],
nvis: 220,
},
algorithm: !obj:pylearn2.training_algorithms.bgd.BGD {
batch_size: 1024,
conjugate: 1,
updates_per_batch: 10,
monitoring_dataset:
{
'train' : *train,
'valid' : !obj:pylearn2.datasets.csv_dataset.CSVDataset {
path: 'test.csv',
task: 'regression',
start: 0,
stop: 17868,
expect_headers: False,
}
},
termination_criterion: !obj:pylearn2.termination_criteria.And {
criteria: [
!obj:pylearn2.termination_criteria.MonitorBased {
channel_name: "valid_y_misclass"
},
!obj:pylearn2.termination_criteria.EpochCounter {
max_epochs: 10000
}
]
}
},
extensions: [
!obj:pylearn2.train_extensions.best_params.MonitorBasedSaveBest {
channel_name: 'valid_y_missclass',
save_path: "best.pkl"
},
],
}
所以，有两个类，但它说如果你有一个矩阵而不是一个向量，那么任务就是回归。
运行“train.py training.yaml”
时出现输出错误Traceback (most recent call last):
File "train.py", line 261, in <module>
args.verbose_logging, args.debug)
File "train.py", line 206, in train
train_obj = serial.load_train_file(config)
File "/home/romain/Projet/long/pylearn2/pylearn2/utils/serial.py", line 430, in load_train_file
return yaml_parse.load_path(config_file_path, environ=environ)
File "/home/romain/Projet/long/pylearn2/pylearn2/config/yaml_parse.py", line 255, in load_path
return load(content, instantiate=instantiate, environ=environ, **kwargs)
File "/home/romain/Projet/long/pylearn2/pylearn2/config/yaml_parse.py", line 213, in load
return _instantiate(proxy_graph)
File "/home/romain/Projet/long/pylearn2/pylearn2/config/yaml_parse.py", line 156, in _instantiate
return _instantiate_proxy_tuple(proxy, bindings)
File "/home/romain/Projet/long/pylearn2/pylearn2/config/yaml_parse.py", line 121, in _instantiate_proxy_tuple
for k, v in six.iteritems(proxy.keywords))
File "/home/romain/Projet/long/pylearn2/pylearn2/config/yaml_parse.py", line 121, in <genexpr>
for k, v in six.iteritems(proxy.keywords))
File "/home/romain/Projet/long/pylearn2/pylearn2/config/yaml_parse.py", line 156, in _instantiate
return _instantiate_proxy_tuple(proxy, bindings)
File "/home/romain/Projet/long/pylearn2/pylearn2/config/yaml_parse.py", line 121, in _instantiate_proxy_tuple
for k, v in six.iteritems(proxy.keywords))
File "/home/romain/Projet/long/pylearn2/pylearn2/config/yaml_parse.py", line 121, in <genexpr>
for k, v in six.iteritems(proxy.keywords))
File "/home/romain/Projet/long/pylearn2/pylearn2/config/yaml_parse.py", line 161, in _instantiate
for k, v in six.iteritems(proxy))
File "/home/romain/Projet/long/pylearn2/pylearn2/config/yaml_parse.py", line 161, in <genexpr>
for k, v in six.iteritems(proxy))
File "/home/romain/Projet/long/pylearn2/pylearn2/config/yaml_parse.py", line 156, in _instantiate
return _instantiate_proxy_tuple(proxy, bindings)
File "/home/romain/Projet/long/pylearn2/pylearn2/config/yaml_parse.py", line 122, in _instantiate_proxy_tuple
obj = checked_call(proxy.callable, kwargs)
File "/home/romain/Projet/long/pylearn2/pylearn2/utils/call_check.py", line 99, in checked_call
return to_call(**kwargs)
File "/home/romain/Projet/long/pylearn2/pylearn2/datasets/csv_dataset.py", line 123, in __init__
X, y = self._load_data()
File "/home/romain/Projet/long/pylearn2/pylearn2/datasets/csv_dataset.py", line 149, in _load_data
data = np.loadtxt(self.path, delimiter=self.delimiter)
File "/usr/lib/python2.7/dist-packages/numpy/lib/npyio.py", line 856, in loadtxt
X = np.array(X, dtype)
我从“pylearn / pylearn / scripts / train.py”复制了train.py，CSV文件在实际文件夹中。
我的YAML文件错了吗？我真的不明白错误的含义。