Streamlined analytic model training and scoring system
Abstract:
A computing device creates a state of an analytic model. An analytic engine of an analytic model of an analytic model type is initialized. The analytic model is trained using a dataset and the analytic engine. A request to save a state of the analytic model is received. In response to receipt of the third indicator, the state of the trained analytic model is serialized. The state includes a reentry point name of a function of the analytic model type called to instantiate the trained analytic model. The serialized state is written to an output file. The written state is read from the output file. The state of the trained analytic model is restored using the read state. An analytic result is computed based on data in a second dataset different from the named dataset using the restored state of the trained analytic model. The computed analytic result is output.
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