.. _l-KNeighborsRegressor-~m-reg-64-weights_k3-cdist-o17: KNeighborsRegressor - ~m-reg-64 - weights_k3 - cdist ==================================================== Fitted on a problem type *~m-reg-64* (see :func:`find_suitable_problem `), method `predict` matches output . Model was converted with additional parameter: ``={'optim': 'cdist'}``. :: KNeighborsRegressor(algorithm='brute', n_jobs=8, n_neighbors=3, weights='distance') +----------------------+----------+ | index | 0 | +======================+==========+ | skl_nop | 1 | +----------------------+----------+ | onx_size | 7271 | +----------------------+----------+ | onx_nnodes | 21 | +----------------------+----------+ | onx_ninits | 9 | +----------------------+----------+ | 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_ai.onnx.ml | 1 | +----------------------+----------+ | onx_ | 16 | +----------------------+----------+ | onx_com.microsoft | 1 | +----------------------+----------+ | onx_op_Cast | 1 | +----------------------+----------+ | onx_op_Reshape | 2 | +----------------------+----------+ | onx_size_optim | 7271 | +----------------------+----------+ | onx_nnodes_optim | 21 | +----------------------+----------+ | onx_ninits_optim | 9 | +----------------------+----------+ | fit__fit_X.shape | (112, 4) | +----------------------+----------+ .. gdot:: digraph{ size=7; ranksep=0.25; nodesep=0.05; orientation=portrait; X [shape=box color=red label="X\ndouble((0, 4))" fontsize=10]; variable [shape=box color=green label="variable\ndouble((0, 2))" fontsize=10]; knny_ArrayFeatureExtractorcst [shape=box label="knny_ArrayFeatureExtractorcst\nfloat64((2, 112))\n[[0.04 0.32 3.42 1.85 1.86 0.16 0.1 1.81 3.33 3.3..." fontsize=10]; CD_CDistcst [shape=box label="CD_CDistcst\nfloat64((112, 4))\n[[ 4.30175021e+00 3.94531870e+00 9.21953113e-01 ..." fontsize=10]; To_TopKcst [shape=box label="To_TopKcst\nint64((1,))\n[3]" fontsize=10]; knny_Reshapecst [shape=box label="knny_Reshapecst\nint64((3,))\n[ 2 -1 3]" fontsize=10]; wei_Mulcst [shape=box label="wei_Mulcst\nfloat64((1,))\n[-1.]" fontsize=10]; wei_Maxcst [shape=box label="wei_Maxcst\nfloat64((1,))\n[1.e-06]" fontsize=10]; Re_ReduceSumcst [shape=box label="Re_ReduceSumcst\nint64((1,))\n[2]" fontsize=10]; norm_ReduceSumcst [shape=box label="norm_ReduceSumcst\nint64((1,))\n[1]" fontsize=10]; Re_Reshapecst [shape=box label="Re_Reshapecst\nint64((2,))\n[-1 1]" fontsize=10]; CD_dist [shape=box label="CD_dist" fontsize=10]; CD_CDist [shape=box style="filled,rounded" color=orange label="CDist\n(CD_CDist)\nmetric=b'euclidean'" fontsize=10]; X -> CD_CDist; CD_CDistcst -> CD_CDist; CD_CDist -> CD_dist; To_Values0 [shape=box label="To_Values0" fontsize=10]; To_Indices1 [shape=box label="To_Indices1" fontsize=10]; To_TopK [shape=box style="filled,rounded" color=orange label="TopK\n(To_TopK)\nlargest=0\nsorted=1" fontsize=10]; CD_dist -> To_TopK; To_TopKcst -> To_TopK; To_TopK -> To_Values0; To_TopK -> To_Indices1; knny_output0 [shape=box label="knny_output0" fontsize=10]; knny_Flatten [shape=box style="filled,rounded" color=orange label="Flatten\n(knny_Flatten)" fontsize=10]; To_Indices1 -> knny_Flatten; knny_Flatten -> knny_output0; wei_C0 [shape=box label="wei_C0" fontsize=10]; wei_Mul [shape=box style="filled,rounded" color=orange label="Mul\n(wei_Mul)" fontsize=10]; To_Values0 -> wei_Mul; wei_Mulcst -> wei_Mul; wei_Mul -> wei_C0; knny_Z0 [shape=box label="knny_Z0" fontsize=10]; knny_ArrayFeatureExtractor [shape=box style="filled,rounded" color=orange label="ArrayFeatureExtractor\n(knny_ArrayFeatureExtractor)" fontsize=10]; knny_ArrayFeatureExtractorcst -> knny_ArrayFeatureExtractor; knny_output0 -> knny_ArrayFeatureExtractor; knny_ArrayFeatureExtractor -> knny_Z0; wei_max0 [shape=box label="wei_max0" fontsize=10]; wei_Max [shape=box style="filled,rounded" color=orange label="Max\n(wei_Max)" fontsize=10]; wei_C0 -> wei_Max; wei_Maxcst -> wei_Max; wei_Max -> wei_max0; knny_reshaped0 [shape=box label="knny_reshaped0" fontsize=10]; knny_Reshape [shape=box style="filled,rounded" color=orange label="Reshape\n(knny_Reshape)\nallowzero=0" fontsize=10]; knny_Z0 -> knny_Reshape; knny_Reshapecst -> knny_Reshape; knny_Reshape -> knny_reshaped0; wei_Y0 [shape=box label="wei_Y0" fontsize=10]; wei_Reciprocal [shape=box style="filled,rounded" color=orange label="Reciprocal\n(wei_Reciprocal)" fontsize=10]; wei_max0 -> wei_Reciprocal; wei_Reciprocal -> wei_Y0; norm_reduced0 [shape=box label="norm_reduced0" fontsize=10]; norm_ReduceSum [shape=box style="filled,rounded" color=orange label="ReduceSum\n(norm_ReduceSum)\nkeepdims=0" fontsize=10]; wei_Y0 -> norm_ReduceSum; norm_ReduceSumcst -> norm_ReduceSum; norm_ReduceSum -> norm_reduced0; knny_transposed0 [shape=box label="knny_transposed0" fontsize=10]; knny_Transpose [shape=box style="filled,rounded" color=orange label="Transpose\n(knny_Transpose)\nperm=[1 0 2]" fontsize=10]; knny_reshaped0 -> knny_Transpose; knny_Transpose -> knny_transposed0; Re_reshaped0 [shape=box label="Re_reshaped0" fontsize=10]; Re_Reshape [shape=box style="filled,rounded" color=orange label="Reshape\n(Re_Reshape)\nallowzero=0" fontsize=10]; norm_reduced0 -> Re_Reshape; Re_Reshapecst -> Re_Reshape; Re_Reshape -> Re_reshaped0; Ca_output0 [shape=box label="Ca_output0" fontsize=10]; Ca_Cast [shape=box style="filled,rounded" color=orange label="Cast\n(Ca_Cast)\nto=11" fontsize=10]; knny_transposed0 -> Ca_Cast; Ca_Cast -> Ca_output0; Tr_transposed01 [shape=box label="Tr_transposed01" fontsize=10]; Tr_Transpose [shape=box style="filled,rounded" color=orange label="Transpose\n(Tr_Transpose)\nperm=[1 0 2]" fontsize=10]; Ca_output0 -> Tr_Transpose; Tr_Transpose -> Tr_transposed01; Mu_C0 [shape=box label="Mu_C0" fontsize=10]; Mu_Mul [shape=box style="filled,rounded" color=orange label="Mul\n(Mu_Mul)" fontsize=10]; Tr_transposed01 -> Mu_Mul; wei_Y0 -> Mu_Mul; Mu_Mul -> Mu_C0; Tr_transposed0 [shape=box label="Tr_transposed0" fontsize=10]; Tr_Transpose1 [shape=box style="filled,rounded" color=orange label="Transpose\n(Tr_Transpose1)\nperm=[1 0 2]" fontsize=10]; Mu_C0 -> Tr_Transpose1; Tr_Transpose1 -> Tr_transposed0; Sh_shape0 [shape=box label="Sh_shape0" fontsize=10]; Sh_Shape [shape=box style="filled,rounded" color=orange label="Shape\n(Sh_Shape)" fontsize=10]; Tr_transposed0 -> Sh_Shape; Sh_Shape -> Sh_shape0; Is_Y0 [shape=box label="Is_Y0" fontsize=10]; Is_IsNaN [shape=box style="filled,rounded" color=orange label="IsNaN\n(Is_IsNaN)" fontsize=10]; Tr_transposed0 -> Is_IsNaN; Is_IsNaN -> Is_Y0; Co_output0 [shape=box label="Co_output0" fontsize=10]; Co_ConstantOfShape [shape=box style="filled,rounded" color=orange label="ConstantOfShape\n(Co_ConstantOfShape)" fontsize=10]; Sh_shape0 -> Co_ConstantOfShape; Co_ConstantOfShape -> Co_output0; Wh_output0 [shape=box label="Wh_output0" fontsize=10]; Wh_Where [shape=box style="filled,rounded" color=orange label="Where\n(Wh_Where)" fontsize=10]; Is_Y0 -> Wh_Where; Co_output0 -> Wh_Where; Tr_transposed0 -> Wh_Where; Wh_Where -> Wh_output0; Re_reduced0 [shape=box label="Re_reduced0" fontsize=10]; Re_ReduceSum [shape=box style="filled,rounded" color=orange label="ReduceSum\n(Re_ReduceSum)\nkeepdims=0" fontsize=10]; Wh_output0 -> Re_ReduceSum; Re_ReduceSumcst -> Re_ReduceSum; Re_ReduceSum -> Re_reduced0; Di_Div [shape=box style="filled,rounded" color=orange label="Div\n(Di_Div)" fontsize=10]; Re_reduced0 -> Di_Div; Re_reshaped0 -> Di_Div; Di_Div -> variable; }