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torch.nn.modules.batchnorm.BatchNorm2d.e999ad8455297f8b
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torch.nn.modules.batchnorm.BatchNorm2d.e999ad8455297f8b
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Uploaded 22-05-2019 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
affine
default: true
eps
default: 1e-05
momentum
default: 0.1
num_features
default: 1
track_running_stats
default: true
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none
affine
eps
momentum
num features
track running stats
Supervised Classification
Supervised Regression
Learning Curve
Supervised Data Stream Classification
Clustering
Machine Learning Challenge
Survival Analysis
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area under roc curve
average cost
binominal test
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c index
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class complexity gain
confusion matrix
correlation coefficient
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coverage
f measure
information gain
jaccard
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kb relative information score
kohavi wolpert bias squared
kohavi wolpert error
kohavi wolpert sigma squared
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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
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mean weighted area under roc curve
mean weighted f measure
mean weighted precision
weighted recall
number of instances
os information
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root mean squared error
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scimark benchmark
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unclassified instance count
usercpu time millis
usercpu time millis testing
usercpu time millis training
webb bias
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pattern team auroc10
wall clock time millis
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wall clock time millis testing
unweighted recall
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