LabelBinarizer - int-col - default -#

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

LabelBinarizer()

index

0

skl_nop

1

onx_size

507

onx_nnodes

4

onx_ninits

4

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_

13

onx_op_Cast

1

onx_op_Reshape

1

onx_size_optim

507

onx_nnodes_optim

4

onx_ninits_optim

4

fit_classes_.shape

3
%0 X X int64((0,)) Reshape Reshape (Reshape) X->Reshape variable variable int64((0, 3)) classes_tensor classes_tensor int64((3,)) [0 1 2] equal Equal (equal) classes_tensor->equal zero_tensor zero_tensor float32((1, 3)) [[0. 0. 0.]] where Where (where) zero_tensor->where unit_tensor unit_tensor float32((1, 3)) [[1. 1. 1.]] unit_tensor->where shape_tensor shape_tensor int64((2,)) [-1  1] shape_tensor->Reshape reshaped_input reshaped_input reshaped_input->equal Reshape->reshaped_input equal_condition_tensor equal_condition_tensor equal_condition_tensor->where equal->equal_condition_tensor where_result where_result Cast Cast (Cast) to=7 where_result->Cast where->where_result Cast->variable

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LabelEncoder - int-col - default -