Mercurial > repos > bgruening > sklearn_data_preprocess

comparison test-data/svc_model03.txt @ 20:2bda387c73e4 draft

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8cf3d813ec755166ee0bd517b4ecbbd4f84d4df1
author bgruening
date Thu, 23 Aug 2018 16:16:54 -0400
parents 29899feb4d44
children
comparison
equal deleted inserted replaced
19:f196d4715cfb 20:2bda387c73e4
1 ccopy_reg 1 (binary file text/plain, hash: 42cd1de013f9d240be23fca45051112ca4a6c013)
2 _reconstructor
3 p0
4 (csklearn.svm.classes
5 LinearSVC
6 p1
7 c__builtin__
8 object
9 p2
10 Ntp3
11 Rp4
12 (dp5
13 S'loss'
14 p6
15 Vsquared_hinge
16 p7
17 sS'C'
18 p8
19 F1.0
20 sS'max_iter'
21 p9
22 I1000
23 sS'verbose'
24 p10
25 I0
26 sS'fit_intercept'
27 p11
28 I01
29 sS'random_state'
30 p12
31 I5
32 sS'classes_'
33 p13
34 cnumpy.core.multiarray
35 _reconstruct
36 p14
37 (cnumpy
38 ndarray
39 p15
40 (I0
41 tp16
42 S'b'
43 p17
44 tp18
45 Rp19
46 (I1
47 (I4
48 tp20
49 cnumpy
50 dtype
51 p21
52 (S'i8'
53 p22
54 I0
55 I1
56 tp23
57 Rp24
58 (I3
59 S'<'
60 p25
61 NNNI-1
62 I-1
63 I0
64 tp26
65 bI00
66 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'
67 p27
68 tp28
69 bsS'n_iter_'
70 p29
71 cnumpy.core.multiarray
72 scalar
73 p30
74 (g21
75 (S'i4'
76 p31
77 I0
78 I1
79 tp32
80 Rp33
81 (I3
82 S'<'
83 p34
84 NNNI-1
85 I-1
86 I0
87 tp35
88 bS'\xe8\x03\x00\x00'
89 p36
90 tp37
91 Rp38
92 sS'intercept_scaling'
93 p39
94 F1.0
95 sS'penalty'
96 p40
97 Vl2
98 p41
99 sS'multi_class'
100 p42
101 Vovr
102 p43
103 sS'coef_'
104 p44
105 g14
106 (g15
107 (I0
108 tp45
109 g17
110 tp46
111 Rp47
112 (I1
113 (I4
114 I4
115 tp48
116 g21
117 (S'f8'
118 p49
119 I0
120 I1
121 tp50
122 Rp51
123 (I3
124 S'<'
125 p52
126 NNNI-1
127 I-1
128 I0
129 tp53
130 bI01
131 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|?'
132 p54
133 tp55
134 bsS'_sklearn_version'
135 p56
136 S'0.19.1'
137 p57
138 sS'dual'
139 p58
140 I01
141 sS'tol'
142 p59
143 F0.001
144 sS'intercept_'
145 p60
146 g14
147 (g15
148 (I0
149 tp61
150 g17
151 tp62
152 Rp63
153 (I1
154 (I4
155 tp64
156 g51
157 I00
158 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'
159 p65
160 tp66
161 bsS'class_weight'
162 p67
163 Nsb.