MinMaxScaler - num-tr - default -#

Fitted on a problem type num-tr (see find_suitable_problem), method transform matches output .

MinMaxScaler()

index

0

skl_nop

1

onx_size

324

onx_nnodes

3

onx_ninits

2

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_Cast

1

onx_size_optim

324

onx_nnodes_optim

3

onx_ninits_optim

2

fit_scale_.shape

4

fit_min_.shape

4

fit_data_min_.shape

4

fit_data_max_.shape

4

fit_data_range_.shape

4

%0 X X float((0, 4)) Ca_Cast Cast (Ca_Cast) to=1 X->Ca_Cast variable variable float((0, 4)) Mu_Mulcst Mu_Mulcst float32((4,)) [0.25243747 0.39867863 0.16360633 0.3745827 ] Mu_Mul Mul (Mu_Mul) Mu_Mulcst->Mu_Mul Ad_Addcst Ad_Addcst float32((4,)) [-1.0637522  -0.6790878  -0.09216903  0.04826326] Ad_Add Add (Ad_Add) Ad_Addcst->Ad_Add Ca_output0 Ca_output0 Ca_output0->Mu_Mul Ca_Cast->Ca_output0 Mu_C0 Mu_C0 Mu_C0->Ad_Add Mu_Mul->Mu_C0 Ad_Add->variable