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  • 1.  Not able to deploy Keras model

    Posted Mon August 26, 2019 02:59 PM
    Edited by System Test Wed November 01, 2023 04:52 PM
    # Deploy the stored model as an online web service deployment
    model_id = model_details["metadata"]["guid"]
    #model_id
    deployment_details = client.deployments.create( artifact_uid=model_id, name="Keras deployment" )

    #######################################################################################

Synchronous deployment creation for uid: 'bbbc3b12-3a88-4f6e-aa9d-f01afc8971d3' started

#######################################################################################


INITIALIZING
DEPLOY_IN_PROGRESS.
    2019-08-26 17:52:59,989 - watson_machine_learning_client.wml_client_error - WARNING - Deployment creation failed. Errors: [{'code': 'load_model_failure', 'message': '0', 'target': {'type': 'none', 'name': 'none'}, 'more_info': 'none'}]

    any suggestion?






    ------------------------------
    MUKESH GUPTA
    ------------------------------
    ​​​​​​​​
    #keras
    #machinelearning
    #MachineLearning
    #WatsonStudio
    #watson-machine-learning


  • 2.  RE: Not able to deploy Keras model

    Posted Mon August 26, 2019 04:55 PM
    Hi Mukesh! What version of Keras are you using? Our dream team of data scientists in Markham recommend trying 'version': '2.2.4' in your model properties.  ​

    #WatsonStudio