data_models.means.api

data_models.means.api

Classes

Name	Description
Mean	Prior mean function of a Gaussian process.
ConstantMean	Mean that is one constant everywhere, fitted to the data.

Mean

data_models.means.api.Mean()

Prior mean function of a Gaussian process.

The mean is what the model predicts far from any observation, where the data says nothing. The outputs are standardized before fitting by default, so a mean near zero corresponds to the average of the observations.

ConstantMean

data_models.means.api.ConstantMean()

Mean that is one constant everywhere, fitted to the data.

With no prior and no constraint, the constant is fitted freely.

# data_models.means.api { #bofire.data_models.means.api }

`data_models.means.api`



## Classes

| Name | Description |
| --- | --- |
| [Mean](#bofire.data_models.means.api.Mean) | Prior mean function of a Gaussian process. |
| [ConstantMean](#bofire.data_models.means.api.ConstantMean) | Mean that is one constant everywhere, fitted to the data. |

### Mean { #bofire.data_models.means.api.Mean }

```python
data_models.means.api.Mean()
```

Prior mean function of a Gaussian process.

The mean is what the model predicts far from any observation, where the data says
nothing. The outputs are standardized before fitting by default, so a mean near zero
corresponds to the average of the observations.

### ConstantMean { #bofire.data_models.means.api.ConstantMean }

```python
data_models.means.api.ConstantMean()
```

Mean that is one constant everywhere, fitted to the data.

With no prior and no constraint, the constant is fitted freely.