HammingLossMulti: HammingLossMulti
In EagerAI/fastai: Interface to 'fastai'
HammingLossMulti R Documentation
HammingLossMulti
Description
Hamming loss for multi-label classification problems
Usage
HammingLossMulti(
thresh = 0.5,
sigmoid = TRUE,
labels = NULL,
sample_weight = NULL
)
Arguments
thresh
threshold
sigmoid
sigmoid
labels
labels
sample_weight
sample_weight
Value
Loss object
EagerAI/fastai documentation built on April 16, 2024, 12:01 p.m.
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| HammingLossMulti | R Documentation |
HammingLossMulti
Description
Hamming loss for multi-label classification problems
Usage
HammingLossMulti(
thresh = 0.5,
sigmoid = TRUE,
labels = NULL,
sample_weight = NULL
)
Arguments
thresh |
threshold |
sigmoid |
sigmoid |
labels |
labels |
sample_weight |
sample_weight |
Value
Loss object
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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