.. _l-RadiusNeighborsRegressor-~b-reg-64-default_k3-cdist-o17: RadiusNeighborsRegressor - ~b-reg-64 - default_k3 - cdist ========================================================= Fitted on a problem type *~b-reg-64* (see :func:`find_suitable_problem `), method `predict` matches output . Model was converted with additional parameter: ``={'optim': 'cdist'}``. :: RadiusNeighborsRegressor(algorithm='brute', n_jobs=8) +----------------------+----------+ | index | 0 | +======================+==========+ | skl_nop | 1 | +----------------------+----------+ | onx_size | 6361 | +----------------------+----------+ | onx_nnodes | 21 | +----------------------+----------+ | onx_ninits | 6 | +----------------------+----------+ | 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_ai.onnx.ml | 1 | +----------------------+----------+ | onx_com.microsoft | 1 | +----------------------+----------+ | onx_op_Cast | 3 | +----------------------+----------+ | onx_op_Reshape | 3 | +----------------------+----------+ | onx_size_optim | 6361 | +----------------------+----------+ | onx_nnodes_optim | 21 | +----------------------+----------+ | onx_ninits_optim | 6 | +----------------------+----------+ | fit__fit_X.shape | (112, 4) | +----------------------+----------+ .. gdot:: digraph{ size=7; 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