Mercurial > repos > bgruening > sklearn_regression_metrics
view test-data/svc_model03.txt @ 4:64c87ceb6766 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 64158f357e708f0b60d2669d92d614f7aee34c0e
author | bgruening |
---|---|
date | Wed, 06 Jun 2018 17:43:54 -0400 |
parents | e1a494495d9f |
children | 1e02b574f5c0 |
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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'max_iter' p9 I1000 sS'verbose' p10 I0 sS'fit_intercept' p11 I01 sS'random_state' p12 I5 sS'classes_' p13 cnumpy.core.multiarray _reconstruct p14 (cnumpy ndarray p15 (I0 tp16 S'b' p17 tp18 Rp19 (I1 (I4 tp20 cnumpy dtype p21 (S'i8' p22 I0 I1 tp23 Rp24 (I3 S'<' p25 NNNI-1 I-1 I0 tp26 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' p27 tp28 bsS'n_iter_' p29 cnumpy.core.multiarray scalar p30 (g21 (S'i4' p31 I0 I1 tp32 Rp33 (I3 S'<' p34 NNNI-1 I-1 I0 tp35 bS'\xe8\x03\x00\x00' p36 tp37 Rp38 sS'intercept_scaling' p39 F1.0 sS'penalty' p40 Vl2 p41 sS'multi_class' p42 Vovr p43 sS'coef_' p44 g14 (g15 (I0 tp45 g17 tp46 Rp47 (I1 (I4 I4 tp48 g21 (S'f8' p49 I0 I1 tp50 Rp51 (I3 S'<' p52 NNNI-1 I-1 I0 tp53 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|?' p54 tp55 bsS'_sklearn_version' p56 S'0.19.1' p57 sS'dual' p58 I01 sS'tol' p59 F0.001 sS'intercept_' p60 g14 (g15 (I0 tp61 g17 tp62 Rp63 (I1 (I4 tp64 g51 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' p65 tp66 bsS'class_weight' p67 Nsb.