PoissonRegressor - ~b-reg-64 - default -#

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

PoissonRegressor()

index

0

skl_nop

1

skl_ncoef

4

skl_nlin

1

onx_size

423

onx_nnodes

4

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_op_Reshape

1

onx_size_optim

423

onx_nnodes_optim

4

onx_ninits_optim

3

fit_intercept_.shape

1

fit_coef_.shape

4
%0 X X double((0, 4)) Ma_MatMul MatMul (Ma_MatMul) X->Ma_MatMul variable variable double((0, 1)) Ma_MatMulcst Ma_MatMulcst float64((4,)) [ 0.02152399 -0.0692994   0.29982017  0.14978441] Ma_MatMulcst->Ma_MatMul Ad_Addcst Ad_Addcst float64((1,)) [-0.82928587] Ad_Add Add (Ad_Add) Ad_Addcst->Ad_Add Re_Reshapecst Re_Reshapecst int64((2,)) [-1  1] Re_Reshape Reshape (Re_Reshape) Re_Reshapecst->Re_Reshape Ma_Y0 Ma_Y0 Ma_Y0->Ad_Add Ma_MatMul->Ma_Y0 Ad_C0 Ad_C0 Ex_Exp Exp (Ex_Exp) Ad_C0->Ex_Exp Ad_Add->Ad_C0 Ex_output0 Ex_output0 Ex_output0->Re_Reshape Ex_Exp->Ex_output0 Re_Reshape->variable

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