Leverage canonical tree-based and regression-based models for efficient and scalable ML computation.
model_id
, inputs
, output_arithmetic
, and
output_num_decimals
as input types:
RitualVector
, our custom library for interacting with vector
data on-chain.
RitualVector
and the generic
ONNX sidecar API, developers can use various model types and classes without
worrying about conforming to model I/O requirements.