BayesianGaussianMixture - mix - default -#

Fitted on a problem type mix (see find_suitable_problem), method predict_proba matches output .

BayesianGaussianMixture(random_state=0)

index

0

skl_nop

1

onx_size

1069

onx_nnodes

12

onx_ninits

7

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

1069

onx_nnodes_optim

12

onx_ninits_optim

7

fit_mean_prior_.shape

4

fit_covariance_prior_.shape

(4, 4)

fit_mean_precision_.shape

1

fit_means_.shape

(1, 4)

fit_degrees_of_freedom_.shape

1

fit_covariances_.shape

(1, 4, 4)

fit_precisions_cholesky_.shape

(1, 4, 4)

fit_weights_.shape

1

fit_precisions_.shape

(1, 4, 4)

fit_lower_bound_.shape

1

%0 X X float((0, 4)) Ge_Gemm Gemm (Ge_Gemm) alpha=1.0 beta=1.0 X->Ge_Gemm label label int64((0, 1)) probabilities probabilities float((0, 1)) Ad_Addcst Ad_Addcst float32((1,)) [7.351508] Ad_Add Add (Ad_Add) Ad_Addcst->Ad_Add Ge_Gemmcst Ge_Gemmcst float32((4, 4)) [[ 1.2140661   0.07816736 -1.8194556   0.12299236]... Ge_Gemmcst->Ge_Gemm Ge_Gemmcst1 Ge_Gemmcst1 float32((4,)) [-7.1148396  -6.233235    3.1776292   0.38222554] Ge_Gemmcst1->Ge_Gemm Mu_Mulcst Mu_Mulcst float32((1,)) [-0.5] Mu_Mul Mul (Mu_Mul) Mu_Mulcst->Mu_Mul Ad_Addcst1 Ad_Addcst1 float32((1,)) [1.9398427] Ad_Add1 Add (Ad_Add1) Ad_Addcst1->Ad_Add1 Ad_Addcst2 Ad_Addcst2 float32((1,)) [-0.06134498] Ad_Add2 Add (Ad_Add2) Ad_Addcst2->Ad_Add2 Ad_Addcst3 Ad_Addcst3 float32((1,)) [-0.00884956] Ad_Add3 Add (Ad_Add3) Ad_Addcst3->Ad_Add3 Ge_Y0 Ge_Y0 Re_ReduceSumSquare ReduceSumSquare (Re_ReduceSumSquare) axes=[1] Ge_Y0->Re_ReduceSumSquare Ge_Gemm->Ge_Y0 Re_reduced0 Re_reduced0 Co_Concat Concat (Co_Concat) axis=1 Re_reduced0->Co_Concat Re_ReduceSumSquare->Re_reduced0 Co_concat_result0 Co_concat_result0 Co_concat_result0->Ad_Add Co_Concat->Co_concat_result0 Ad_C03 Ad_C03 Ad_C03->Mu_Mul Ad_Add->Ad_C03 Mu_C0 Mu_C0 Mu_C0->Ad_Add1 Mu_Mul->Mu_C0 Ad_C02 Ad_C02 Ad_C02->Ad_Add2 Ad_Add1->Ad_C02 Ad_C01 Ad_C01 Ad_C01->Ad_Add3 Ad_Add2->Ad_C01 Ad_C0 Ad_C0 Ar_ArgMax ArgMax (Ar_ArgMax) axis=1 Ad_C0->Ar_ArgMax Re_ReduceLogSumExp ReduceLogSumExp (Re_ReduceLogSumExp) axes=[1] Ad_C0->Re_ReduceLogSumExp Su_Sub Sub (Su_Sub) Ad_C0->Su_Sub Ad_Add3->Ad_C0 Ar_ArgMax->label Re_reduced02 Re_reduced02 Re_reduced02->Su_Sub Re_ReduceLogSumExp->Re_reduced02 Su_C0 Su_C0 Ex_Exp Exp (Ex_Exp) Su_C0->Ex_Exp Su_Sub->Su_C0 Ex_Exp->probabilities