.. _l-GridSearchCV-cluster-reg--o17: GridSearchCV - cluster - reg - =============================== Fitted on a problem type *cluster* (see :func:`find_suitable_problem `), method `predict` matches output . :: GridSearchCV(estimator=KMeans(random_state=0), n_jobs=1, param_grid={'n_clusters': [2, 3]}) +-----------------------+----------+ | index | 0 | +=======================+==========+ | skl_nop | 1 | +-----------------------+----------+ | onx_size | 746 | +-----------------------+----------+ | onx_nnodes | 9 | +-----------------------+----------+ | onx_ninits | 3 | +-----------------------+----------+ | onx_doc_string | | +-----------------------+----------+ | onx_ir_version | 8 | +-----------------------+----------+ | onx_domain | ai.onnx | +-----------------------+----------+ | onx_model_version | 0 | +-----------------------+----------+ | onx_producer_name | skl2onnx | +-----------------------+----------+ | onx_producer_version | 1.13.1 | +-----------------------+----------+ | onx_ | 16 | +-----------------------+----------+ | onx_op_Identity | 2 | +-----------------------+----------+ | onx_size_optim | 663 | +-----------------------+----------+ | onx_nnodes_optim | 7 | +-----------------------+----------+ | onx_ninits_optim | 3 | +-----------------------+----------+ | fit_best_score_.shape | 1 | +-----------------------+----------+ .. gdot:: digraph{ size=7; ranksep=0.25; nodesep=0.05; orientation=portrait; X [shape=box color=red label="X\nfloat((0, 4))" fontsize=10]; label [shape=box color=green label="label\nint64((0,))" fontsize=10]; scores [shape=box color=green label="scores\nfloat((0, 3))" fontsize=10]; Ad_Addcst [shape=box label="Ad_Addcst\nfloat32((3,))\n[84.52504 39.141666 56.832886]" fontsize=10]; Ge_Gemmcst [shape=box label="Ge_Gemmcst\nfloat32((3, 4))\n[[6.6014256 2.9432645 5.3828583 1.8188599 ]\n [5..." fontsize=10]; Mu_Mulcst [shape=box label="Mu_Mulcst\nfloat32((1,))\n[0.]" fontsize=10]; Re_reduced0 [shape=box label="Re_reduced0" fontsize=10]; Re_ReduceSumSquare [shape=box style="filled,rounded" color=orange label="ReduceSumSquare\n(Re_ReduceSumSquare)\naxes=[1]\nkeepdims=1" fontsize=10]; X -> Re_ReduceSumSquare; Re_ReduceSumSquare -> Re_reduced0; Mu_C0 [shape=box label="Mu_C0" fontsize=10]; Mu_Mul [shape=box style="filled,rounded" color=orange label="Mul\n(Mu_Mul)" fontsize=10]; Re_reduced0 -> Mu_Mul; Mu_Mulcst -> Mu_Mul; Mu_Mul -> Mu_C0; Ge_Y0 [shape=box label="Ge_Y0" fontsize=10]; Ge_Gemm [shape=box style="filled,rounded" color=orange label="Gemm\n(Ge_Gemm)\nalpha=-2.0\ntransB=1" fontsize=10]; X -> Ge_Gemm; Ge_Gemmcst -> Ge_Gemm; Mu_C0 -> Ge_Gemm; Ge_Gemm -> Ge_Y0; Ad_C01 [shape=box label="Ad_C01" fontsize=10]; Ad_Add [shape=box style="filled,rounded" color=orange label="Add\n(Ad_Add)" fontsize=10]; Re_reduced0 -> Ad_Add; Ge_Y0 -> Ad_Add; Ad_Add -> Ad_C01; Ad_C0 [shape=box label="Ad_C0" fontsize=10]; Ad_Add1 [shape=box style="filled,rounded" color=orange label="Add\n(Ad_Add1)" fontsize=10]; Ad_Addcst -> Ad_Add1; Ad_C01 -> Ad_Add1; Ad_Add1 -> Ad_C0; scores1 [shape=box label="scores1" fontsize=10]; Sq_Sqrt [shape=box style="filled,rounded" color=orange label="Sqrt\n(Sq_Sqrt)" fontsize=10]; Ad_C0 -> Sq_Sqrt; Sq_Sqrt -> scores1; label1 [shape=box label="label1" fontsize=10]; Ar_ArgMin [shape=box style="filled,rounded" color=orange label="ArgMin\n(Ar_ArgMin)\naxis=1\nkeepdims=0" fontsize=10]; Ad_C0 -> Ar_ArgMin; Ar_ArgMin -> label1; Identity1 [shape=box style="filled,rounded" color=orange label="Identity\n(Identity1)" fontsize=10]; scores1 -> Identity1; Identity1 -> scores; Identity [shape=box style="filled,rounded" color=orange label="Identity\n(Identity)" fontsize=10]; label1 -> Identity; Identity -> label; }