package tezos-benchmark

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in-package search v0.2.0

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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