Shortcuts

Maximum

Module Interface

class torchmetrics.MaxMetric(nan_strategy='warn', **kwargs)[source]

Aggregate a stream of value into their maximum value.

As input to forward and update the metric accepts the following input

  • value (float or Tensor): a single float or an tensor of float values with arbitary shape (...,).

As output of forward and compute the metric returns the following output

  • agg (Tensor): scalar float tensor with aggregated maximum value over all inputs received

Parameters
  • nan_strategy (Union[str, float]) – options: - 'error': if any nan values are encounted will give a RuntimeError - 'warn': if any nan values are encounted will give a warning and continue - 'ignore': all nan values are silently removed - a float: if a float is provided will impude any nan values with this value

  • kwargs (Any) – Additional keyword arguments, see Advanced metric settings for more info.

Raises

ValueError – If nan_strategy is not one of error, warn, ignore or a float

Example

>>> import torch
>>> from torchmetrics import MaxMetric
>>> metric = MaxMetric()
>>> metric.update(1)
>>> metric.update(torch.tensor([2, 3]))
>>> metric.compute()
tensor(3.)

Initializes internal Module state, shared by both nn.Module and ScriptModule.

Read the Docs v: stable
Versions
latest
stable
v0.11.1
v0.11.0
v0.10.3
v0.10.2
v0.10.1
v0.10.0
v0.9.3
v0.9.2
v0.9.1
v0.9.0
v0.8.2
v0.8.1
v0.8.0
v0.7.3
v0.7.2
v0.7.1
v0.7.0
v0.6.2
v0.6.1
v0.6.0
v0.5.1
v0.5.0
v0.4.1
v0.4.0
v0.3.2
v0.3.1
v0.3.0
v0.2.0
v0.1.0
Downloads
pdf
html
On Read the Docs
Project Home
Builds

Free document hosting provided by Read the Docs.