tezos-benchmark
Tezos_benchmark.Pyinference
module LinearModel : sig ... end
val predict_output : input:Scikit_matrix.t -> weights:Scikit_matrix.t -> Pytypes.pyobject
val r2_score : output:Scikit_matrix.t -> prediction:Pytypes.pyobject -> float option
val rmse_score : output:Scikit_matrix.t -> prediction:Pytypes.pyobject -> float
val benchmark_score : input:Scikit_matrix.t -> output:(float, Bigarray.float64_elt, Bigarray.c_layout) Bigarray.Array1.t -> Scikit_matrix.t * Scikit_matrix.t