# DeploymentParams

Configuration parameters for deploying a model in the Fiddler platform.

DeploymentParams defines the deployment configuration for a model, including the artifact type, deployment environment, resource allocation, and container specifications. These parameters control how the model is packaged, deployed, and scaled within the Fiddler infrastructure.

This class is used when deploying models to specify the runtime environment, resource requirements, and deployment strategy that best fits your model's needs and performance requirements.

## Examples

Creating basic deployment parameters:

```python
basic_params = DeploymentParams()
```

Creating deployment with custom resources:

```python
custom_params = DeploymentParams(
    artifact_type=ArtifactType.PYTHON_PACKAGE,
    deployment_type=DeploymentType.BASE_CONTAINER,
    replicas=3,
    cpu=2,
    memory=4096
)
```

Creating deployment with custom container:

```python
container_params = DeploymentParams(
    artifact_type=ArtifactType.DOCKER_IMAGE,
    deployment_type=DeploymentType.CUSTOM_CONTAINER,
    image_uri="my-registry.com/my-model:v1.0",
    replicas=2,
    cpu=4,
    memory=8192
)
```

## memory *: int | None*