| CPC G06N 20/20 (2019.01) [G06F 16/355 (2019.01)] | 20 Claims |
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9. A method comprising:
establishing a first pipeline, via a host platform, which comprises a first plurality of services for unsupervised learning of a machine learning model;
establishing a second pipeline, via the host platform, which comprises a second plurality of services for supervised learning of the machine learning model, the second pipeline being independent from the first pipeline;
triggering execution of the first plurality of services via the first pipeline and train the machine learning model via unsupervised learning to generate an initially trained model;
triggering performance of one or more validation tasks for the initially trained model;
storing the initially trained model in the storage device in response to performing the one or more validation tasks;
triggering execution of the second plurality of services via the second pipeline and train the initially trained model via supervised learning to generate a further trained model; and
storing the further trained model in a storage device.
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