# gpytorch.means¶

## Mean¶

class gpytorch.means.Mean[source]

## Standard Means¶

### ZeroMean¶

class gpytorch.means.ZeroMean[source]

### ConstantMean¶

class gpytorch.means.ConstantMean(prior=None, batch_size=None)[source]

## Specialty Means¶

class gpytorch.means.MultitaskMean(base_means, num_tasks)[source]
Convenience gpytorch.means.Mean implementation for defining a different mean for each task in a multitask model. Expects a list of num_tasks different mean functions, each of which is applied to the given data in forward() and returned as an n x t matrix of means, one for each task.
forward(input)[source]
class gpytorch.means.ConstantMeanGrad(prior=None, batch_size=None)[source]