Usage

Installation

To use konan-sdk, first install it using pip:

(.venv) $ pip install konan-sdk

Making a prediction

To make a prediction, you can use the konan_sdk.sdk.KonanSDK.predict() method:

For example:

from konan_sdk.sdk import KonanSDK

sdk = KonanSDK(verbose=False) # Initialize the SDK.

user = sdk.login("<email>", "<password>") # Login user your valid konan credentials

input_data = {"feature_1": 1, "feature_2": "abc", } # Define the input data to be passed to your model

prediction_uuid, ml_output = sdk.predict("<deployment_uuid>", input_data) # Run the prediction

print(prediction_uuid, ml_output) # Print the returned output

Konan Model Creation

You can also use konan-sdk to kickstart your AI model into production! The konan_sdk.konan_service subpackage provides all what you will need to transform your model’s logic into a Konan-compatible Model.

Check out the Konan Template Deployments repo and Konan Docs for more information on how to extend the konan_sdk.konan_service.* classes to prepare your Konan-compatible Model.