OneHotEncoder - one-hot - default -#

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

OneHotEncoder()

index

0

skl_nop

1

onx_size

511

onx_nnodes

5

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_ai.onnx.ml

1

onx_

11

onx_op_Cast

1

onx_op_Reshape

1

onx_size_optim

511

onx_nnodes_optim

5

onx_ninits_optim

2
%0 X X float((0, 4)) ArrayFeatureExtractor ArrayFeatureExtractor (ArrayFeatureExtractor) X->ArrayFeatureExtractor variable variable float((0, 5)) X0 X0 int64(()) 0 X0->ArrayFeatureExtractor shape_tensor shape_tensor int64((2,)) [-1  5] Reshape Reshape (Reshape) shape_tensor->Reshape X01 X01 Cast Cast (Cast) to=7 X01->Cast ArrayFeatureExtractor->X01 X01cast X01cast OneHotEncoder OneHotEncoder (OneHotEncoder) cats_int64s=[4 5 6 7 8] zeros=0 X01cast->OneHotEncoder Cast->X01cast X01out X01out Concat Concat (Concat) axis=2 X01out->Concat OneHotEncoder->X01out concat_result concat_result concat_result->Reshape Concat->concat_result Reshape->variable

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