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tff.learning.models.BatchOutput
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A structure that holds the output of a tff.learning.models.VariableModel
.
tff.learning.models.BatchOutput(
loss=None, predictions=None, num_examples=None
)
Used in the notebooks
Attributes |
loss
|
The scalar mean loss on the examples in the batch. If the model has
multiple losses, it is the sum of all the individual losses.
|
predictions
|
Tensor of predictions on the examples. The first dimension must
be the same size (the size of the batch).
|
num_examples
|
Number of examples seen in the batch.
|
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Last updated 2023-05-19 UTC.
[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"Missing the information I need"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Too complicated / too many steps"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Samples / code issue"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]