MiniBatchKMeans - ~num-tr-clu - default -#

Fitted on a problem type ~num-tr-clu (see find_suitable_problem), method transform 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

1.11.1

onx_

14

onx_size_optim

768

onx_nnodes_optim

7

onx_ninits_optim

3

fit_cluster_centers_.shape

(8, 4)

fit_labels_.shape

112

%0 X X float((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 float((0, 8)) Ad_Addcst Ad_Addcst float32((8,)) [ 30.470116  69.5543    42.72693   88.08638   51.693077  70.446396 113.205505  34.860676] Ad_Add1 Add (Ad_Add1) Ad_Addcst->Ad_Add1 Ge_Gemmcst Ge_Gemmcst float32((8, 4)) [[4.63245    2.738411   1.1462419  0.44469926] [5... Ge_Gemmcst->Ge_Gemm Mu_Mulcst Mu_Mulcst float32((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 Ar_ArgMin ArgMin (Ar_ArgMin) axis=1 keepdims=0 Ad_C0->Ar_ArgMin Sq_Sqrt Sqrt (Sq_Sqrt) Ad_C0->Sq_Sqrt Ad_Add1->Ad_C0 Ar_ArgMin->label Sq_Sqrt->scores