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torch.nn.modules.pooling.MaxPool2d.aeeca686c28657a0
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torch.nn.modules.pooling.MaxPool2d.aeeca686c28657a0
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Uploaded 16-05-2019 by
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torch==1.1.0 numpy>=1.6.1 scipy>=0.9
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openml-python
python
pytorch
torch_1.1.0
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Automatically created pytorch flow.
Parameters
ceil_mode
default: false
dilation
default: 1
kernel_size
default: 2
padding
default: 0
return_indices
default: false
stride
default: 2
0
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Parameter:
none
ceil mode
dilation
kernel size
padding
return indices
stride
Supervised Classification
Supervised Regression
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Machine Learning Challenge
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area under roc curve
average cost
binominal test
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c index
chi-squared
class complexity
class complexity gain
confusion matrix
correlation coefficient
cortana quality
coverage
f measure
information gain
jaccard
kappa
kb relative information score
kohavi wolpert bias squared
kohavi wolpert error
kohavi wolpert sigma squared
kohavi wolpert variance
kononenko bratko information score
matthews correlation coefficient
mean absolute error
mean class complexity
mean class complexity gain
mean f measure
mean kononenko bratko information score
mean precision
mean prior absolute error
mean prior class complexity
mean recall
mean weighted area under roc curve
mean weighted f measure
mean weighted precision
weighted recall
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prior class complexity
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root mean squared error
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usercpu time millis
usercpu time millis testing
usercpu time millis training
webb bias
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joint entropy
pattern team auroc10
wall clock time millis
wall clock time millis training
wall clock time millis testing
unweighted recall
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