Mavryk_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, Stdlib.Bigarray.float64_elt, Stdlib.Bigarray.c_layout)
Stdlib.Bigarray.Array1.t ->
Scikit_matrix.t * Scikit_matrix.t