I am trying to implement the Neural Network Classifier in Python. Here is the snippet of the function
def create_and_train_nn(train_predictors,train_responses):
print '\t\tcreating Neural Network'
nn = Classifier(
layers=[
Layer("Maxout", units=100, pieces=2),
Layer("Softmax")],
learning_rate=0.001,
n_iter=25)
print '\t\tNeural Network created successfully'
print '\t\ttraining Neural Network'
fit = nn.fit(train_predictors,train_responses)
print "NN Fitted"
print '\t\tNeural Network successfully trained'
return nn
And after executing the code, I got the following error.
No handlers could be found for logger "sknn"
Traceback (most recent call last):
File "D:/Predictive-Analytics/CodeBase/Tests/balanceClasses/parameterTesting/neural_1.py", line 590, in <module>
start(table1='small_ds1_tse_temporal_lookback6',table2='balanced_new_small_ds1_tse_temporal_lookback6_m1_6hr_0106')
File "D:/Predictive-Analytics/CodeBase/Tests/balanceClasses/parameterTesting/neural_1.py", line 588, in start
main(table1,table2,30,5,'gini',100,fname,start_date,end_date,i+1,ds)
File "D:/Predictive-Analytics/CodeBase/Tests/balanceClasses/parameterTesting/neural_1.py", line 257, in main
nn = create_and_train_nn(train_predictors,train_responses)
File "D:/Predictive-Analytics/CodeBase/Tests/balanceClasses/parameterTesting/neural_1.py", line 481, in create_and_train_nn
fit = nn.fit(train_predictors,train_responses)
File "C:\Users\Dickson\Anaconda\lib\site-packages\sknn\mlp.py", line 283, in fit
return super(Classifier, self)._fit(X, yp)
File "C:\Users\Dickson\Anaconda\lib\site-packages\sknn\mlp.py", line 157, in _fit
raise e
RuntimeError: NaN in hidden0_W
I have googled the error and there some suggestions to lower the learning rate by 10x. But even after that the problem persists. Plus no other solution seems o be working well. Neither I'm able to understand in what context is this error related to. Any help would really be helpful.