As a data scientist, I would like to add neural network methods to the forecasting notebook. Frequently used methods include Neural network auto regression, LSTMS, and transformers. Google's autoML and Facebook's Kats are also tools that leverage these approaches. Experiment with these architectures could lead to better forecasting.
Survey of techniques and a new framework - Merlion
The aim of this issue would be explore these methods and evaluate their feasibility preferably in the context of cloud metrics.
Acceptance
[ ] Create ts-5-adv-forecasting notebook with neural network methods and compare results.
As a data scientist, I would like to add neural network methods to the forecasting notebook. Frequently used methods include Neural network auto regression, LSTMS, and transformers. Google's autoML and Facebook's Kats are also tools that leverage these approaches. Experiment with these architectures could lead to better forecasting. Survey of techniques and a new framework - Merlion The aim of this issue would be explore these methods and evaluate their feasibility preferably in the context of cloud metrics.
Acceptance