rearrange notebooks directory.

notebooks/notebooks/results/spkernel/Acyclic.output.txt

@@ -1,177 +0,0 @@
-###################### log time: 2019-03-26 10:59:51. ######################
-
-# This file contains results of spkernel on dataset Acyclic,
-# including gram matrices, serial numbers for gram matrix figures and performance.
-
-This is a regression problem.
-
-II. Gram matrices.
-
-the gram matrix with parameters {'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8} is:
-
-[[1.        ,0.47140452,0.33333333,...,0.30151134,0.30512858,0.27852425],
- [0.47140452,1.        ,0.        ,...,0.14213381,0.11986583,0.17232809],
- [0.33333333,0.        ,1.        ,...,0.36851387,0.37293493,0.34815531],
- ...,
- [0.30151134,0.14213381,0.36851387,...,1.        ,0.96429344,0.95175317],
- [0.30512858,0.11986583,0.37293493,...,0.96429344,1.        ,0.96671243],
- [0.27852425,0.17232809,0.34815531,...,0.95175317,0.96671243,1.        ]]
-
-1 gram matrices are calculated, 0 of which are ignored.
-
-serial numbers of gram matrix figures and their corresponding parameters settings:
-
-0: {'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8}
-
-III. Performance.
-
-best settings of hyper-params to build gram matrix: [{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8}]
-best settings of other hyper-params: [{'alpha': 1e-06}]
-
-best_val_perf: 9.55244065682399
-best_val_std: 0.5574811966683159
-final_performance: [9.724426192585643]
-final_confidence: [2.999822095078807]
-train_performance: [6.141755071354953]
-train_std: [0.2732168016478284]
-
-time to calculate gram matrix with different hyper-params: 16.95±nans
-time to calculate best gram matrix: 16.95±nans
-total training time with all hyper-param choices: 32.74s
-
-table of performance v.s. hyper-params:
-
-params                                                                                                                                                                                                                                                                                                                     train_perf    valid_perf    test_perf      gram_matrix_time
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------  ------------  ------------  -----------  ------------------
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e-10'}  6.14±0.28     9.70±0.61     9.74±3.00                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e-10'}  6.13±0.27     9.75±0.74     9.74±3.03                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e-09'}  6.14±0.28     9.68±0.45     9.74±3.04                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e-09'}  6.14±0.28     9.75±0.55     9.76±2.99                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e-08'}  6.14±0.28     9.60±0.65     9.71±2.99                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e-08'}  6.14±0.27     9.74±0.64     9.74±3.00                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e-07'}  6.14±0.28     9.60±0.66     9.73±2.98                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e-07'}  6.14±0.28     9.77±0.65     9.77±3.07                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e-06'}  6.14±0.27     9.55±0.56     9.72±3.00                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e-06'}  6.13±0.27     9.79±0.61     9.73±3.04                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e-05'}  6.14±0.27     9.68±0.57     9.75±3.01                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e-05'}  6.14±0.27     9.75±0.57     9.70±3.02                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e-04'}  6.14±0.27     9.56±0.56     9.69±2.98                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e-04'}  6.15±0.27     9.62±0.65     9.70±2.97                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e-03'}  6.19±0.27     9.65±0.74     9.69±2.98                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e-03'}  6.36±0.27     9.73±0.46     9.71±2.92                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e-02'}  6.80±0.25     9.90±0.52     9.93±2.98                 16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e-02'}  7.63±0.25     10.33±0.57    10.29±3.01                16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e-01'}  9.25±0.25     11.41±0.56    11.29±2.90                16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e-01'}  12.42±0.25    14.03±0.34    14.06±2.65                16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e+00'}  17.48±0.24    18.67±0.35    19.06±2.33                16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e+00'}  24.52±0.21    25.24±0.31    26.11±2.41                16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e+01'}  34.07±0.20    34.29±0.31    35.50±4.09                16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e+01'}  48.90±0.28    48.62±0.40    49.78±7.09                16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e+02'}  75.87±0.52    75.45±0.68    76.11±9.09                16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e+02'}  107.85±0.80   107.50±0.87   107.80±9.36               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e+03'}  128.21±0.96   127.84±1.04   128.07±9.24               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e+03'}  136.81±1.03   136.43±1.13   136.63±9.17               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e+04'}  139.82±1.05   139.40±1.13   139.63±9.14               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e+04'}  140.80±1.05   140.41±1.07   140.61±9.13               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e+05'}  141.12±1.06   140.71±1.04   140.92±9.13               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e+05'}  141.22±1.06   140.84±1.12   141.02±9.13               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e+06'}  141.25±1.06   140.79±1.12   141.06±9.13               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e+06'}  141.26±1.06   140.87±1.06   141.07±9.13               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e+07'}  141.26±1.06   140.85±1.07   141.07±9.13               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e+07'}  141.26±1.06   140.79±1.05   141.07±9.13               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e+08'}  141.26±1.06   140.79±1.17   141.07±9.13               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e+08'}  141.26±1.06   140.86±1.08   141.07±9.13               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e+09'}  141.26±1.06   140.93±1.06   141.07±9.13               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '3.16e+09'}  141.26±1.06   140.85±1.13   141.07±9.13               16.95
-{'node_kernels': {'symb': <function deltakernel at 0x7f3a99093950>, 'nsymb': <function gaussiankernel at 0x7f3a990931e0>, 'mix': functools.partial(<function kernelproduct at 0x7f3a99088ae8>, <function deltakernel at 0x7f3a99093950>, <function gaussiankernel at 0x7f3a990931e0>)}, 'n_jobs': 8, 'alpha': '1.00e+10'}  141.26±1.06   140.80±1.07   141.07±9.13               16.95
-
-
-
-
-###################### log time: 2019-03-26 10:58:24. ######################
-
-# This file contains results of spkernel on dataset Acyclic,
-# including gram matrices, serial numbers for gram matrix figures and performance.
-
-This is a regression problem.
-
-II. Gram matrices.
-
-the gram matrix with parameters {'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8} is:
-
-[[1.        ,0.47140452,0.33333333,...,0.30151134,0.30512858,0.27852425],
- [0.47140452,1.        ,0.        ,...,0.14213381,0.11986583,0.17232809],
- [0.33333333,0.        ,1.        ,...,0.36851387,0.37293493,0.34815531],
- ...,
- [0.30151134,0.14213381,0.36851387,...,1.        ,0.96429344,0.95175317],
- [0.30512858,0.11986583,0.37293493,...,0.96429344,1.        ,0.96671243],
- [0.27852425,0.17232809,0.34815531,...,0.95175317,0.96671243,1.        ]]
-
-1 gram matrices are calculated, 0 of which are ignored.
-
-serial numbers of gram matrix figures and their corresponding parameters settings:
-
-0: {'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8}
-
-III. Performance.
-
-best settings of hyper-params to build gram matrix: [{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8}]
-best settings of other hyper-params: [{'alpha': 1e-07}]
-
-best_val_perf: 9.574376867060177
-best_val_std: 0.7335499737848491
-final_performance: [9.50365754990661]
-final_confidence: [2.8602395698342087]
-train_performance: [6.17134653357633]
-train_std: [0.25758350163124855]
-
-time to calculate gram matrix with different hyper-params: 1.29±nans
-time to calculate best gram matrix: 1.29±nans
-total training time with all hyper-param choices: 5.19s
-
-table of performance v.s. hyper-params:
-
-params                                                                                                                                                                                                                                                                                                                     train_perf    valid_perf    test_perf      gram_matrix_time
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------  ------------  ------------  -----------  ------------------
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e-10'}  6.16±0.26     9.75±0.65     9.54±2.84                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e-10'}  6.16±0.26     9.75±0.66     9.53±2.90                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e-09'}  6.17±0.27     9.78±0.61     9.50±2.82                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e-09'}  6.16±0.26     9.79±0.56     9.53±2.83                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e-08'}  6.17±0.26     9.70±0.58     9.52±2.84                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e-08'}  6.16±0.25     9.81±0.68     9.52±2.82                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e-07'}  6.17±0.26     9.57±0.73     9.50±2.86                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e-07'}  6.16±0.26     9.95±0.70     9.51±2.86                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e-06'}  6.17±0.26     9.81±0.58     9.54±2.88                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e-06'}  6.16±0.26     9.74±0.70     9.53±2.94                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e-05'}  6.17±0.26     9.71±0.61     9.54±2.92                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e-05'}  6.17±0.26     9.69±0.61     9.51±2.88                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e-04'}  6.17±0.26     9.72±0.70     9.50±2.79                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e-04'}  6.18±0.26     9.62±0.73     9.42±2.85                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e-03'}  6.21±0.26     9.91±0.52     9.40±2.78                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e-03'}  6.39±0.25     9.86±0.64     9.42±2.79                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e-02'}  6.83±0.25     9.94±0.56     9.59±2.80                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e-02'}  7.66±0.24     10.30±0.45    9.99±2.69                  1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e-01'}  9.28±0.24     11.38±0.36    11.02±2.55                 1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e-01'}  12.45±0.22    14.06±0.38    13.79±2.36                 1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e+00'}  17.53±0.21    18.74±0.31    18.88±2.23                 1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e+00'}  24.57±0.19    25.32±0.28    26.29±2.72                 1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e+01'}  34.07±0.22    34.30±0.34    36.29±4.52                 1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e+01'}  48.85±0.34    48.65±0.41    51.21±7.45                 1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e+02'}  75.76±0.57    75.36±0.60    77.93±9.56                 1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e+02'}  107.68±0.86   107.24±0.95   109.70±9.96                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e+03'}  128.01±1.04   127.59±1.03   129.96±9.91                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e+03'}  136.59±1.11   136.19±1.20   138.51±9.86                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e+04'}  139.60±1.14   139.22±1.11   141.51±9.84                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e+04'}  140.58±1.15   140.22±1.21   142.49±9.83                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e+05'}  140.89±1.15   140.48±1.14   142.80±9.83                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e+05'}  140.99±1.15   140.54±1.17   142.90±9.83                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e+06'}  141.02±1.15   140.61±1.20   142.93±9.83                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e+06'}  141.04±1.15   140.65±1.23   142.94±9.83                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e+07'}  141.04±1.15   140.66±1.20   142.94±9.83                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e+07'}  141.04±1.15   140.64±1.24   142.94±9.83                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e+08'}  141.04±1.15   140.65±1.14   142.95±9.83                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e+08'}  141.04±1.15   140.61±1.22   142.95±9.83                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e+09'}  141.04±1.15   140.58±1.15   142.95±9.83                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '3.16e+09'}  141.04±1.15   140.71±1.17   142.95±9.83                1.29
-{'node_kernels': {'symb': <function deltakernel at 0x7f5619e77598>, 'nsymb': <function gaussiankernel at 0x7f5619e77620>, 'mix': functools.partial(<function kernelproduct at 0x7f5619e77730>, <function deltakernel at 0x7f5619e77598>, <function gaussiankernel at 0x7f5619e77620>)}, 'n_jobs': 8, 'alpha': '1.00e+10'}  141.04±1.15   140.68±1.11   142.95±9.83                1.29
-

notebooks/notebooks/results/spkernel/ds-unknown.output.txt

@@ -1,67 +0,0 @@
-###################### log time: 2019-03-26 11:56:19. ######################
-
-# This file contains results of spkernel on dataset ds-unknown,
-# including gram matrices, serial numbers for gram matrix figures and performance.
-
-This is a regression problem.
-
-II. Gram matrices.
-
-the gram matrix with parameters {'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1} is:
-
-[[1.        ,0.47140452,0.33333333,...,0.30151134,0.30512858,0.27852425],
- [0.47140452,1.        ,0.        ,...,0.14213381,0.11986583,0.17232809],
- [0.33333333,0.        ,1.        ,...,0.36851387,0.37293493,0.34815531],
- ...,
- [0.30151134,0.14213381,0.36851387,...,1.        ,0.96429344,0.95175317],
- [0.30512858,0.11986583,0.37293493,...,0.96429344,1.        ,0.96671243],
- [0.27852425,0.17232809,0.34815531,...,0.95175317,0.96671243,1.        ]]
-
-1 gram matrices are calculated, 0 of which are ignored.
-
-serial numbers of gram matrix figures and their corresponding parameters settings:
-
-0: {'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1}
-
-III. Performance.
-
-best settings of hyper-params to build gram matrix: [{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1}]
-best settings of other hyper-params: [{'alpha': 0.0001}]
-
-best_val_perf: 9.922073568477266
-best_val_std: 0.3829108688812842
-final_performance: [8.039190309451554]
-final_confidence: [2.8576078550320037]
-train_performance: [6.285008316076738]
-train_std: [0.23613211181729038]
-
-time to calculate gram matrix with different hyper-params: 3.52±nans
-time to calculate best gram matrix: 3.52±nans
-total training time with all hyper-param choices: 4.34s
-
-table of performance v.s. hyper-params:
-
-params                                                                                                                                                                                                                                                                                                                     train_perf    valid_perf    test_perf       gram_matrix_time
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------  ------------  ------------  ------------  ------------------
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '1.00e-05'}  6.26±0.24     10.65±0.66    8.29±3.21                   3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '3.16e-05'}  6.28±0.25     10.69±0.03    8.15±3.02                   3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '1.00e-04'}  6.29±0.24     9.92±0.38     8.04±2.86                   3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '3.16e-04'}  6.29±0.28     10.29±0.77    7.97±2.94                   3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '1.00e-03'}  6.34±0.25     10.16±0.93    8.02±3.04                   3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '3.16e-03'}  6.53±0.24     10.08±0.24    7.82±3.10                   3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '1.00e-02'}  6.95±0.25     10.54±0.05    8.02±3.58                   3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '3.16e-02'}  7.77±0.33     10.76±0.14    8.60±4.14                   3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '1.00e-01'}  9.34±0.35     11.60±0.14    10.01±4.61                  3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '3.16e-01'}  12.51±0.31    14.52±0.68    13.44±4.70                  3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '1.00e+00'}  17.59±0.32    18.61±0.28    19.80±5.18                  3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '3.16e+00'}  24.46±0.39    25.24±0.56    28.52±6.10                  3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '1.00e+01'}  33.85±0.38    34.04±0.04    39.01±8.31                  3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '3.16e+01'}  48.65±0.49    48.14±0.20    54.40±12.56                 3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '1.00e+02'}  75.53±0.93    75.24±1.32    81.83±16.62                 3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '3.16e+02'}  107.29±1.56   106.50±0.85   114.11±18.46                3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '1.00e+03'}  127.49±2.04   127.24±2.09   134.61±19.05                3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '3.16e+03'}  136.01±2.24   135.60±2.06   143.25±19.23                3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '1.00e+04'}  138.99±2.32   138.66±2.41   146.27±19.28                3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '3.16e+04'}  139.97±2.35   139.63±2.70   147.26±19.30                3.52
-{'node_kernels': {'symb': <function deltakernel at 0x7ff63c02c158>, 'nsymb': <function gaussiankernel at 0x7ff642e968c8>, 'mix': functools.partial(<function kernelproduct at 0x7ff60b9d21e0>, <function deltakernel at 0x7ff63c02c158>, <function gaussiankernel at 0x7ff642e968c8>)}, 'n_jobs': 1, 'alpha': '1.00e+05'}  140.28±2.35   139.84±2.38   147.58±19.30                3.52
-