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torch.nn.modules.normalization.LayerNorm.33c957fe
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torch.nn.modules.normalization.LayerNorm.33c957fe
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Uploaded 16-05-2019 by
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torch==1.0.1 numpy>=1.6.1 scipy>=0.9
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openml-python
python
pytorch
torch_1.0.1
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Automatically created pytorch flow.
Parameters
elementwise_affine
default: true
eps
default: 1e-05
normalized_shape
default: [20]
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elementwise affine
eps
normalized shape
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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confusion matrix
correlation coefficient
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f measure
information gain
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kappa
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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
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mean weighted f measure
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usercpu time millis training
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