GaussianProcessRegressor - ~b-reg-NF-std-64 - expsine - cdist#

Fitted on a problem type ~b-reg-NF-std-64 (see find_suitable_problem), method predict matches output . Model was converted with additional parameter: <class 'sklearn.gaussian_process._gpr.GaussianProcessRegressor'>={'optim': 'cdist'}.

GaussianProcessRegressor(alpha=20.0,
                     kernel=ExpSineSquared(length_scale=1, periodicity=1),
                     random_state=42)

index

0

skl_nop

1

onx_size

714

onx_nnodes

8

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

1.13.1

onx_

17

onx_size_optim

585

onx_nnodes_optim

6

onx_ninits_optim

2