IncrementalPCA - num-tr - default -#

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

IncrementalPCA()

index

0

skl_nop

1

onx_size

336

onx_nnodes

2

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_

13

onx_size_optim

336

onx_nnodes_optim

2

onx_ninits_optim

2

fit_components_.shape

(4, 4)

fit_mean_.shape

4

fit_var_.shape

4

fit_singular_values_.shape

4

fit_explained_variance_.shape

4

fit_explained_variance_ratio_.shape

4

%0 X X float((0, 4)) Sub Sub (Sub) X->Sub variable variable float((0, 4)) transform_matrix transform_matrix float32((4, 4)) [[ 0.35053724  0.6425043  -0.54678947  0.40661186]... MatMul MatMul (MatMul) transform_matrix->MatMul mean mean float32((4,)) [5.860339 2.997882 3.759892 1.188384] mean->Sub sub_result sub_result sub_result->MatMul Sub->sub_result MatMul->variable