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Hello Everyone
I have been using gluont-ts models for probabilistic forecasting. As per my understanding, by default, the models use stochastic gradient descent based optimizers. But I want to use, evolutionary algorithms in place of SGD. Is it possible to integrate different optimizers in gluonts ? If anyone has any idea, please let me know how can we do that in gluonts?
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Hello Everyone
I have been using gluont-ts models for probabilistic forecasting. As per my understanding, by default, the models use stochastic gradient descent based optimizers. But I want to use, evolutionary algorithms in place of SGD. Is it possible to integrate different optimizers in gluonts ? If anyone has any idea, please let me know how can we do that in gluonts?
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