Related Issues (20)
- The library has an interface that provides batches of data through a RESTful API call to the learning service at course intervals of time.
- The library makes a RESTful call to the learning service to make a decision
- The library data interface is defined as follows
- The user should be able to define new learning tasks through a graphical web interface
- The user should be able to save, load, delete, and edit learning tasks
- The user should be able to see a list of existing tasks
- The user should be able to filter and sort learning tasks
- The user should be able to specify various inputs and constraints of the learning task
- The user should be able to select the type of learning model they want to use
- The user should specify variables that are part of the context
- The user should be able to configure any and all parameters associated with the particular learning model
- When the user saves the solution, it should be sent to the learning service to run
- Pyton Interface for RL
- Test the RL pipeline
- Publish Python Interface
- Provide an interface to determine the available models within the system
- Learning tasks should be able to be loaded and saved from the web interface
- Learning tasks should be able to be deleted from the web interface
- The initial engine should be base on Bandit algorithm
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