Mercurial > repos > bgruening > sklearn_pairwise_metrics
view test-data/svc_model03.txt @ 0:18afd0c1cc56 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 620159e95d2fae693b5f25d591528be159130f25
author | bgruening |
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date | Wed, 04 May 2016 13:09:52 -0400 |
parents | |
children | 1573e8255a34 |
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ccopy_reg _reconstructor p0 (csklearn.svm.classes LinearSVC p1 c__builtin__ object p2 Ntp3 Rp4 (dp5 S'loss' p6 Vsquared_hinge p7 sS'C' p8 F1.0 sS'classes_' p9 cnumpy.core.multiarray _reconstruct p10 (cnumpy ndarray p11 (I0 tp12 S'b' p13 tp14 Rp15 (I1 (I4 tp16 cnumpy dtype p17 (S'i8' p18 I0 I1 tp19 Rp20 (I3 S'<' p21 NNNI-1 I-1 I0 tp22 bI00 S'\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x00\x00\x00\x00\x03\x00\x00\x00\x00\x00\x00\x00' p23 tp24 bsS'verbose' p25 I0 sS'intercept_scaling' p26 F1.0 sS'dual' p27 I01 sS'fit_intercept' p28 I01 sS'max_iter' p29 I1000 sS'n_iter_' p30 cnumpy.core.multiarray scalar p31 (g17 (S'i4' p32 I0 I1 tp33 Rp34 (I3 S'<' p35 NNNI-1 I-1 I0 tp36 bS'\xe8\x03\x00\x00' p37 tp38 Rp39 sS'penalty' p40 Vl2 p41 sS'multi_class' p42 Vovr p43 sS'random_state' p44 I5 sS'tol' p45 F0.001 sS'coef_' p46 g10 (g11 (I0 tp47 g13 tp48 Rp49 (I1 (I4 I4 tp50 g17 (S'f8' p51 I0 I1 tp52 Rp53 (I3 S'<' p54 NNNI-1 I-1 I0 tp55 bI01 S'@@\xae\xfaP\xc8\xd4\xbf\xe8\x9b\x9e\x13"\xd6\xdb\xbf\xba\xc8\xd0f\xd1\xb9`\xbf\xca\xa9\x1a\xa8\x93\xda&\xbfv\xa2{\x1d\n\x8e\x95?\x1a\xb3\xc3\x80`\x9fn\xbf\xa5E?\x1dKV\x88\xbf\xb4]v\x97t8f?~R\x8dH\xd4\x9c\x89?+\xe8\xb4\x8b\xe7N\x7f\xbf\xdef\x84\xc2\xaa\xbc\x8e?\xc7\x193\xe1OO\x90\xbf\xc6UW_\x17\xdd\x87\xbf\xed\xa5\x82\x11Xbh?\x9b5w\xe8\x7fR\x9d?\xff\x9fao\xeaB|?' p56 tp57 bsS'intercept_' p58 g10 (g11 (I0 tp59 g13 tp60 Rp61 (I1 (I4 tp62 g53 I00 S'\x9e\x05)W2\xcf\xc3\xbf\x98\xa4\x94\x94\x06\xf1\xd1\xbf\x1b<a=\xfb\x89S\xbf[\x9e>\x89\xb1<4\xbf' p63 tp64 bsS'class_weight' p65 Nsb.