Models
Models is a mapping for Machine Learning models that need to be imported
together with the configuration to run inference sessions using ONNX and make
predictions for the agents. Here you can map them to actionModel
and
volumeModel
which will be called by the agent when a new step needs to be
performed.
Format
name | type |
---|---|
type | array of { class: string, model...: { alias: string, location: string } } |
required | true |
Example
models:
- class: "lp"
actionModel:
alias: "bancor_lp_action"
location: "models/action_user.onnx"
volumeModel:
alias: "bancor_lp_volume"
location: "models/amount_user.onnx"
- class: "arb"
- class: "trader"
volumeModel:
alias: "bancor_trader"
location: "models/trader.onnx"