.. _l-MiniBatchKMeans-cluster-default--o17: MiniBatchKMeans - cluster - default - ====================================== Fitted on a problem type *cluster* (see :func:`find_suitable_problem `), method `predict` matches output . :: MiniBatchKMeans(random_state=0) +----------------------------+----------+ | index | 0 | +============================+==========+ | skl_nop | 1 | +----------------------------+----------+ | onx_size | 768 | +----------------------------+----------+ | onx_nnodes | 7 | +----------------------------+----------+ | 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_ | 14 | +----------------------------+----------+ | onx_size_optim | 768 | +----------------------------+----------+ | onx_nnodes_optim | 7 | +----------------------------+----------+ | onx_ninits_optim | 3 | +----------------------------+----------+ | fit_cluster_centers_.shape | (8, 4) | +----------------------------+----------+ | fit_labels_.shape | 112 | +----------------------------+----------+ .. 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, 8))" fontsize=10]; Ad_Addcst [shape=box label="Ad_Addcst\nfloat32((8,))\n[ 30.470116 69.5543 42.72693 88.08638 51.693077 70.446396\n 113.205505 34.860676]" fontsize=10]; Ge_Gemmcst [shape=box label="Ge_Gemmcst\nfloat32((8, 4))\n[[4.63245 2.738411 1.1462419 0.44469926]\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; Sq_Sqrt [shape=box style="filled,rounded" color=orange label="Sqrt\n(Sq_Sqrt)" fontsize=10]; Ad_C0 -> Sq_Sqrt; Sq_Sqrt -> scores; 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 -> label; }