CortexDeployer(api_config: Dict, predictor=None, requirements: List = None, conda_packages: List = None, env: str = 'gcp', force: bool = True, wait: bool = False, **kwargs)
: Step class for deploying models using Cortex.
Cortex Deployer Step constructor. Use this step to push your trained model via the [Cortex API](https://docs.cortex.dev/). Args: api_spec: A dictionary defining a single Cortex API. See https://docs.cortex.dev/v/0.27/ for schema. predictor: A Cortex Predictor class implementation. Not required for TaskAPI/TrafficSplitter kinds. requirements: A list of PyPI dependencies that will be installed before the predictor class implementation is invoked. conda_packages: A list of Conda dependencies that will be installed before the predictor class implementation is invoked. force: Override any in-progress api updates. wait: Streams logs until the APIs are ready. ### Ancestors (in MRO) * zenml.core.steps.deployer.base_deployer.BaseDeployerStep * zenml.core.steps.base_step.BaseStep ### Methods `get_config(self)` : `get_executor(self)` :