-
Notifications
You must be signed in to change notification settings - Fork 5
/
1.5.0-DEV-e0740fe5a6.log
156 lines (155 loc) · 13.5 KB
/
1.5.0-DEV-e0740fe5a6.log
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
Julia Version 1.5.0-DEV.147
Commit e0740fe5a6 (2020-01-24 14:13 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Xeon(R) Silver 4114 CPU @ 2.20GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-8.0.1 (ORCJIT, skylake)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
Resolving package versions...
Installed PooledArrays ──────────────── v0.5.3
Installed TextClassification ────────── v0.2.0
Installed Compat ────────────────────── v3.2.0
Installed TableTraits ───────────────── v1.0.0
Installed MLLabelUtils ──────────────── v0.5.1
Installed IterTools ─────────────────── v1.3.0
Installed MLDataPattern ─────────────── v0.5.0
Installed StatsBase ─────────────────── v0.32.0
Installed Missings ──────────────────── v0.4.3
Installed IteratorInterfaceExtensions ─ v1.0.0
Installed InvertedIndices ───────────── v1.0.0
Installed Reexport ──────────────────── v0.2.0
Installed KCenters ──────────────────── v0.1.9
Installed JSON ──────────────────────── v0.21.0
Installed Tables ────────────────────── v0.2.11
Installed OrderedCollections ────────── v1.1.0
Installed DataAPI ───────────────────── v1.1.0
Installed DataValueInterfaces ───────── v1.0.0
Installed DataStructures ────────────── v0.17.9
Installed MappedArrays ──────────────── v0.2.2
Installed CategoricalArrays ─────────── v0.7.7
Installed TextSearch ────────────────── v0.3.3
Installed SortingAlgorithms ─────────── v0.3.1
Installed GZip ──────────────────────── v0.5.1
Installed SimilaritySearch ──────────── v0.3.17
Installed MLDataUtils ───────────────── v0.5.0
Installed LearnBase ─────────────────── v0.2.2
Installed Parsers ───────────────────── v0.3.10
Installed DataFrames ────────────────── v0.20.0
Updating `~/.julia/environments/v1.5/Project.toml`
[8e067cb0] + TextClassification v0.2.0
Updating `~/.julia/environments/v1.5/Manifest.toml`
[324d7699] + CategoricalArrays v0.7.7
[34da2185] + Compat v3.2.0
[9a962f9c] + DataAPI v1.1.0
[a93c6f00] + DataFrames v0.20.0
[864edb3b] + DataStructures v0.17.9
[e2d170a0] + DataValueInterfaces v1.0.0
[92fee26a] + GZip v0.5.1
[41ab1584] + InvertedIndices v1.0.0
[c8e1da08] + IterTools v1.3.0
[82899510] + IteratorInterfaceExtensions v1.0.0
[682c06a0] + JSON v0.21.0
[5d8de97f] + KCenters v0.1.9
[7f8f8fb0] + LearnBase v0.2.2
[9920b226] + MLDataPattern v0.5.0
[cc2ba9b6] + MLDataUtils v0.5.0
[66a33bbf] + MLLabelUtils v0.5.1
[dbb5928d] + MappedArrays v0.2.2
[e1d29d7a] + Missings v0.4.3
[bac558e1] + OrderedCollections v1.1.0
[69de0a69] + Parsers v0.3.10
[2dfb63ee] + PooledArrays v0.5.3
[189a3867] + Reexport v0.2.0
[053f045d] + SimilaritySearch v0.3.17
[a2af1166] + SortingAlgorithms v0.3.1
[2913bbd2] + StatsBase v0.32.0
[3783bdb8] + TableTraits v1.0.0
[bd369af6] + Tables v0.2.11
[8e067cb0] + TextClassification v0.2.0
[7f6f6c8a] + TextSearch v0.3.3
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[8ba89e20] + Distributed
[9fa8497b] + Future
[b77e0a4c] + InteractiveUtils
[76f85450] + LibGit2
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[56ddb016] + Logging
[d6f4376e] + Markdown
[a63ad114] + Mmap
[44cfe95a] + Pkg
[de0858da] + Printf
[3fa0cd96] + REPL
[9a3f8284] + Random
[ea8e919c] + SHA
[9e88b42a] + Serialization
[1a1011a3] + SharedArrays
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Testing TextClassification
Installed FilePathsBase ── v0.7.0
Installed WeakRefStrings ─ v0.6.2
Installed CSV ──────────── v0.5.22
Updating `/tmp/jl_bhrAnG/Project.toml`
[336ed68f] + CSV v0.5.22
Updating `/tmp/jl_bhrAnG/Manifest.toml`
[336ed68f] + CSV v0.5.22
[48062228] + FilePathsBase v0.7.0
[ea10d353] + WeakRefStrings v0.6.2
Running sandbox
Status `/tmp/jl_bhrAnG/Project.toml`
[336ed68f] CSV v0.5.22
[c8e1da08] IterTools v1.3.0
[5d8de97f] KCenters v0.1.9
[cc2ba9b6] MLDataUtils v0.5.0
[053f045d] SimilaritySearch v0.3.17
[2913bbd2] StatsBase v0.32.0
[8e067cb0] TextClassification v0.2.0
[7f6f6c8a] TextSearch v0.3.3
[8ba89e20] Distributed
[37e2e46d] LinearAlgebra
[9a3f8284] Random
[8dfed614] Test
iteration 1 finished; starting combinations.
generating 8 configurations using top 4 configurations, starting with 16)
[0.7668699927705233, 0.7660963754651023, 0.7630384575001634, 0.7549053288990376, 0.7532003009183299, 0.7297286543105667, 0.7249481342527097, 0.7234182863331257, 0.7183477082926514, 0.7159522073586041, 0.7156583299456013, 0.7150794677795235, 0.71401759979235, 0.711891004615611, 0.711891004615611, 0.7021534283899443]
Pair{μTC_Configuration,Float64}(μTC_Configuration{TextSearch.EntModel,TextSearch.EntTpModel}(1.0, true, false, false, true, true, false, false, [5], [2], Tuple{Int64,Int64}[], TextSearch.EntModel, TextSearch.EntTpModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 3.0, 0, 0, 1.0, nothing, :rand, 0.0, 1), 0.7668699927705233)
finished with 23 configurations
iteration 2 finished; starting combinations.
stopping on iteration 2 due to a possible convergence (0.7724872876601179 ≃ 0.7668699927705233, tol: 0.01)
[ Info: (1, μTC_Configuration{TextSearch.EntModel,TextSearch.EntTpModel}(1.0, true, false, false, true, true, false, false, [5], [2], Tuple{Int64,Int64}[], TextSearch.EntModel, TextSearch.EntTpModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 1.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7724872876601179)
[ Info: (2, μTC_Configuration{TextSearch.EntModel,TextSearch.EntModel}(1.0, true, false, false, true, true, false, false, [5], [1], Tuple{Int64,Int64}[], TextSearch.EntModel, TextSearch.EntModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7717137003478857)
[ Info: (3, μTC_Configuration{TextSearch.EntModel,TextSearch.EntTpModel}(1.0, true, false, false, true, true, false, false, [3, 5], Int64[], Tuple{Int64,Int64}[], TextSearch.EntModel, TextSearch.EntTpModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, nothing, :rand, 0.0, 1), 0.7687488684470013)
[ Info: (4, μTC_Configuration{TextSearch.EntModel,TextSearch.EntTpModel}(1.0, true, false, false, true, true, false, false, [3, 5], [2], Tuple{Int64,Int64}[], TextSearch.EntModel, TextSearch.EntTpModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7671648563099248)
[ Info: (5, μTC_Configuration{TextSearch.EntModel,TextSearch.EntTpModel}(1.0, true, false, false, true, true, false, false, [5], [2], Tuple{Int64,Int64}[], TextSearch.EntModel, TextSearch.EntTpModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 3.0, 0, 0, 1.0, nothing, :rand, 0.0, 1), 0.7668699927705233)
[ Info: (6, μTC_Configuration{TextSearch.EntModel,TextSearch.EntModel}(1.0, true, false, false, true, true, false, false, [5], Int64[], Tuple{Int64,Int64}[], TextSearch.EntModel, TextSearch.EntModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 1.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7660963754651023)
[ Info: (7, μTC_Configuration{TextSearch.EntModel,TextSearch.EntTpModel}(1.0, true, false, false, true, true, false, false, [5], [1], Tuple{Int64,Int64}[], TextSearch.EntModel, TextSearch.EntTpModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7645769541711623)
[ Info: (8, μTC_Configuration{TextSearch.EntModel,TextSearch.EntTpModel}(1.0, true, false, false, true, true, false, false, [3, 5], [1], Tuple{Int64,Int64}[], TextSearch.EntModel, TextSearch.EntTpModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 3.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7630384575001634)
[ Info: (9, μTC_Configuration{TextSearch.EntModel,TextSearch.EntTpModel}(1.0, true, false, false, true, true, false, false, [5], Int64[], Tuple{Int64,Int64}[], TextSearch.EntModel, TextSearch.EntTpModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, nothing, :rand, 0.0, 1), 0.7565675840437821)
[ Info: (10, μTC_Configuration{TextSearch.EntModel,TextSearch.EntTpModel}(1.0, true, false, false, true, true, false, false, [3], [2], Tuple{Int64,Int64}[], TextSearch.EntModel, TextSearch.EntTpModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7549053288990376)
[ Info: (11, μTC_Configuration{TextSearch.EntModel,TextSearch.EntTpModel}(1.0, true, false, false, true, true, false, false, [3], Int64[], Tuple{Int64,Int64}[], TextSearch.EntModel, TextSearch.EntTpModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 3.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7538275220500954)
[ Info: (12, μTC_Configuration{TextSearch.EntModel,TextSearch.EntTpModel}(1.0, true, false, false, true, true, false, false, [5], [2], Tuple{Int64,Int64}[], TextSearch.EntModel, TextSearch.EntTpModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7532003009183299)
[ Info: (13, μTC_Configuration{TextSearch.VectorModel,TextSearch.FreqModel}(1.0, true, false, false, true, true, false, false, [3], [1], Tuple{Int64,Int64}[], TextSearch.VectorModel, TextSearch.FreqModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7297286543105667)
[ Info: (14, μTC_Configuration{TextSearch.VectorModel,TextSearch.TfidfModel}(1.0, true, false, false, true, true, false, false, [5], [2], Tuple{Int64,Int64}[], TextSearch.VectorModel, TextSearch.TfidfModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7249481342527097)
[ Info: (15, μTC_Configuration{TextSearch.VectorModel,TextSearch.IdfModel}(1.0, true, false, false, true, true, false, false, [3], Int64[], Tuple{Int64,Int64}[], TextSearch.VectorModel, TextSearch.IdfModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7234182863331257)
[ Info: (16, μTC_Configuration{TextSearch.VectorModel,TextSearch.FreqModel}(1.0, true, false, false, true, true, false, false, [3, 5], [2], Tuple{Int64,Int64}[], TextSearch.VectorModel, TextSearch.FreqModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7183477082926514)
[ Info: (17, μTC_Configuration{TextSearch.VectorModel,TextSearch.TfidfModel}(1.0, true, false, false, true, true, false, false, [3], [1], Tuple{Int64,Int64}[], TextSearch.VectorModel, TextSearch.TfidfModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7159522073586041)
[ Info: (18, μTC_Configuration{TextSearch.VectorModel,TextSearch.IdfModel}(1.0, true, false, false, true, true, false, false, [3], [1], Tuple{Int64,Int64}[], TextSearch.VectorModel, TextSearch.IdfModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7156583299456013)
[ Info: (19, μTC_Configuration{TextSearch.VectorModel,TextSearch.IdfModel}(1.0, true, false, false, true, true, false, false, [5], Int64[], Tuple{Int64,Int64}[], TextSearch.VectorModel, TextSearch.IdfModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7150794677795235)
[ Info: (20, μTC_Configuration{TextSearch.VectorModel,TextSearch.TfidfModel}(1.0, true, false, false, true, true, false, false, [3, 5], [1], Tuple{Int64,Int64}[], TextSearch.VectorModel, TextSearch.TfidfModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.71401759979235)
[ Info: (21, μTC_Configuration{TextSearch.VectorModel,TextSearch.TfModel}(1.0, true, false, false, true, true, false, false, [5], Int64[], Tuple{Int64,Int64}[], TextSearch.VectorModel, TextSearch.TfModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.711891004615611)
[ Info: (22, μTC_Configuration{TextSearch.VectorModel,TextSearch.FreqModel}(1.0, true, false, false, true, true, false, false, [5], Int64[], Tuple{Int64,Int64}[], TextSearch.VectorModel, TextSearch.FreqModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.711891004615611)
[ Info: (23, μTC_Configuration{TextSearch.VectorModel,TextSearch.TfidfModel}(1.0, true, false, false, true, true, false, false, [3], [2], Tuple{Int64,Int64}[], TextSearch.VectorModel, TextSearch.TfidfModel, KCenters.relu_kernel, SimilaritySearch.cosine_distance, 1, 0.0, 0, 0, 1.0, :balance, :rand, 0.0, 1), 0.7021534283899443)
Test Summary: |
microtc | No tests
Testing TextClassification tests passed