MiniBatchKMeans - ~b-clu-64 - default -#

Fitted on a problem type ~b-clu-64 (see find_suitable_problem), method predict matches output .

MiniBatchKMeans(random_state=0)

index

0

skl_nop

1

onx_size

932

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

1.11.1

onx_

14

onx_size_optim

932

onx_nnodes_optim

7

onx_ninits_optim

3

fit_cluster_centers_.shape

(8, 4)

fit_labels_.shape

112

%0 X X double((0, 4)) Re_ReduceSumSquare ReduceSumSquare (Re_ReduceSumSquare) axes=[1] keepdims=1 X->Re_ReduceSumSquare Ge_Gemm Gemm (Ge_Gemm) alpha=-2.0 transB=1 X->Ge_Gemm label label int64((0,)) scores scores double((0, 8)) Ad_Addcst Ad_Addcst float64((8,)) [ 30.47013832  69.55415246  42.72684982  88.0862794   51.69308273  70.44638848 113.20560697  34.86063024] Ad_Add1 Add (Ad_Add1) Ad_Addcst->Ad_Add1 Ge_Gemmcst Ge_Gemmcst float64((8, 4)) [[4.63245136 2.73841253 1.14624253 0.4446995 ] [5... Ge_Gemmcst->Ge_Gemm Mu_Mulcst Mu_Mulcst float64((1,)) [0.] Mu_Mul Mul (Mu_Mul) Mu_Mulcst->Mu_Mul Re_reduced0 Re_reduced0 Re_reduced0->Mu_Mul Ad_Add Add (Ad_Add) Re_reduced0->Ad_Add Re_ReduceSumSquare->Re_reduced0 Mu_C0 Mu_C0 Mu_C0->Ge_Gemm Mu_Mul->Mu_C0 Ge_Y0 Ge_Y0 Ge_Y0->Ad_Add Ge_Gemm->Ge_Y0 Ad_C01 Ad_C01 Ad_C01->Ad_Add1 Ad_Add->Ad_C01 Ad_C0 Ad_C0 Sq_Sqrt Sqrt (Sq_Sqrt) Ad_C0->Sq_Sqrt Ar_ArgMin ArgMin (Ar_ArgMin) axis=1 keepdims=0 Ad_C0->Ar_ArgMin Ad_Add1->Ad_C0 Sq_Sqrt->scores Ar_ArgMin->label