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Deployment state#

The state of a deployment corresponds to the state of the predictor configured in it.

Note

Currently, only one predictor is supported in a deployment. Support for multiple predictors (the inference graphs) is coming soon.

Retrieval#

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get_state#

Deployment.get_state()

Get the current state of the deployment

Returns

PredictorState. The state of the deployment.

Properties#

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available_predictor_instances#

Available predicotr instances.

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available_transformer_instances#

Available transformer instances.

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condition#

Condition of the current state of predictor.

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deployed#

Whether the predictor is deployed or not.

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hopsworks_inference_path#

Inference path in the Hopsworks REST API.

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internal_port#

Internal port for the predictor.

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model_server_inference_path#

Inference path in the model server

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revision#

Last revision of the predictor.

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status#

Status of the predictor.

Methods#

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describe#

PredictorState.describe()

Print a description of the deployment state

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to_dict#

PredictorState.to_dict()