Last updated on 2020-06-22 05:48:35 CEST.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 0.1.4 | 11.76 | 143.72 | 155.48 | OK | |
r-devel-linux-x86_64-debian-gcc | 0.1.4 | 10.32 | 104.37 | 114.69 | OK | |
r-devel-linux-x86_64-fedora-clang | 0.1.4 | 188.66 | OK | |||
r-devel-linux-x86_64-fedora-gcc | 0.1.4 | 178.60 | ERROR | |||
r-devel-windows-ix86+x86_64 | 0.1.4 | 25.00 | 150.00 | 175.00 | OK | |
r-patched-linux-x86_64 | 0.1.4 | 12.13 | 139.23 | 151.36 | OK | |
r-patched-solaris-x86 | 0.1.4 | 289.90 | OK | |||
r-release-linux-x86_64 | 0.1.4 | 10.27 | 141.99 | 152.26 | ERROR | |
r-release-osx-x86_64 | 0.1.4 | OK | ||||
r-release-windows-ix86+x86_64 | 0.1.4 | 25.00 | 155.00 | 180.00 | OK | |
r-oldrel-osx-x86_64 | 0.1.4 | OK | ||||
r-oldrel-windows-ix86+x86_64 | 0.1.4 | 19.00 | 140.00 | 159.00 | OK |
Version: 0.1.4
Check: tests
Result: ERROR
Running ‘spelling.R’
Running ‘testthat.R’ [60s/77s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(MachineLearning)
>
> test_check("MachineLearning")
Apriori
Parameter specification:
confidence minval smax arem aval originalSupport maxtime support minlen
0.1 0.1 1 none FALSE TRUE 5 0.2 2
maxlen target ext
10 rules TRUE
Algorithmic control:
filter tree heap memopt load sort verbose
0.1 TRUE TRUE FALSE TRUE 2 TRUE
Absolute minimum support count: 3054
set item appearances ...[0 item(s)] done [0.00s].
set transactions ...[24 item(s), 15270 transaction(s)] done [0.01s].
sorting and recoding items ... [4 item(s)] done [0.00s].
creating transaction tree ... done [0.01s].
checking subsets of size 1 2 3 done [0.00s].
writing ... [11 rule(s)] done [0.00s].
creating S4 object ... done [0.00s].
6 successful models have been tested
n= 10689
node), split, n, loss, yval, (yprob)
* denotes terminal node
1) root 10689 1709 [17,1.67e+03) (0.840116007 0.153615867 0.006268126)
2) pais=Germany,Belgium,France,Ireland,Italy,Netherlands,Portugal,UK,Switzerland,Rusia,Nordic countries,Rest of Europe 9120 713 [17,1.67e+03) (0.921820175 0.075877193 0.002302632) *
3) pais=USA,Rest of America,Rest of world 1569 619 [1.67e+03,5.51e+03) (0.365200765 0.605481198 0.029318037) *
6 successful models have been tested
n= 10689
node), split, n, loss, yval, (yprob)
* denotes terminal node
1) root 10689 1709 [17,1.67e+03) (0.840116007 0.153615867 0.006268126)
2) pais=Germany,Belgium,France,Ireland,Italy,Netherlands,Portugal,UK,Switzerland,Rusia,Nordic countries,Rest of Europe 9120 713 [17,1.67e+03) (0.921820175 0.075877193 0.002302632) *
3) pais=USA,Rest of America,Rest of world 1569 619 [1.67e+03,5.51e+03) (0.365200765 0.605481198 0.029318037) *
── 1. Error: Test CART with EGATUR dataset. (@test-CART.R#14) ─────────────────
incorrect number of dimensions
Backtrace:
1. MachineLearning::CART(...)
2. base::order(...)
attributes importance
1 pais 0.049161047
2 aloja 0.008279454
3 motivo 0.004326729
attributes importance
1 pais 0.049161047
2 aloja 0.008279454
3 motivo 0.004326729
attributes importance
1 pais 0.049161047
2 aloja 0.008279454
3 motivo 0.004326729
attributes importance
1 pais 0.049161047
2 aloja 0.008279454
3 motivo 0.004326729
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 23 | SKIPPED: 0 | WARNINGS: 1 | FAILED: 1 ]
1. Error: Test CART with EGATUR dataset. (@test-CART.R#14)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.1.4
Check: tests
Result: ERROR
Running ‘spelling.R’ [0s/1s]
Running ‘testthat.R’ [51s/57s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(MachineLearning)
>
> test_check("MachineLearning")
Apriori
Parameter specification:
confidence minval smax arem aval originalSupport maxtime support minlen
0.1 0.1 1 none FALSE TRUE 5 0.2 2
maxlen target ext
10 rules TRUE
Algorithmic control:
filter tree heap memopt load sort verbose
0.1 TRUE TRUE FALSE TRUE 2 TRUE
Absolute minimum support count: 3054
set item appearances ...[0 item(s)] done [0.00s].
set transactions ...[24 item(s), 15270 transaction(s)] done [0.01s].
sorting and recoding items ... [4 item(s)] done [0.00s].
creating transaction tree ... done [0.00s].
checking subsets of size 1 2 3 done [0.00s].
writing ... [11 rule(s)] done [0.00s].
creating S4 object ... done [0.01s].
2 successful models have been tested
n= 10689
node), split, n, loss, yval, (yprob)
* denotes terminal node
1) root 10689 1733 [17,1.67e+03) (0.8378707082 0.1554869492 0.0066423426)
2) pais=Germany,Belgium,France,Ireland,Italy,Netherlands,Portugal,UK,Switzerland,Rusia,Nordic countries,Rest of Europe 9092 734 [17,1.67e+03) (0.9192696876 0.0785305763 0.0021997360)
4) aloja=Hotels,Over-The-Counter Accommodation 8194 557 [17,1.67e+03) (0.9320234318 0.0671222846 0.0008542836) *
5) aloja=Rest of market 898 177 [17,1.67e+03) (0.8028953229 0.1826280624 0.0144766147)
10) pais=Belgium,France,Ireland,Portugal 238 26 [17,1.67e+03) (0.8907563025 0.1008403361 0.0084033613) *
11) pais=Germany,Italy,Netherlands,UK,Switzerland,Rusia,Nordic countries,Rest of Europe 660 151 [17,1.67e+03) (0.7712121212 0.2121212121 0.0166666667)
22) motivo=Leisure,Business 583 125 [17,1.67e+03) (0.7855917667 0.2126929674 0.0017152659) *
23) motivo=Others 77 26 [17,1.67e+03) (0.6623376623 0.2077922078 0.1298701299)
46) pais=Germany,Italy,Netherlands,UK,Switzerland 68 18 [17,1.67e+03) (0.7352941176 0.1617647059 0.1029411765) *
47) pais=Nordic countries,Rest of Europe 9 4 [1.67e+03,5.51e+03) (0.1111111111 0.5555555556 0.3333333333) *
3) pais=USA,Rest of America,Rest of world 1597 649 [1.67e+03,5.51e+03) (0.3744520977 0.5936130244 0.0319348779)
6) pais=USA,Rest of world 1029 462 [1.67e+03,5.51e+03) (0.4149659864 0.5510204082 0.0340136054)
12) aloja=Rest of market,Over-The-Counter Accommodation 336 171 [17,1.67e+03) (0.4910714286 0.4434523810 0.0654761905)
24) pais=USA 109 47 [17,1.67e+03) (0.5688073394 0.3761467890 0.0550458716) *
25) pais=Rest of world 227 119 [1.67e+03,5.51e+03) (0.4537444934 0.4757709251 0.0704845815)
50) motivo=Leisure,Others 215 111 [1.67e+03,5.51e+03) (0.4511627907 0.4837209302 0.0651162791)
100) aloja=Over-The-Counter Accommodation 173 90 [1.67e+03,5.51e+03) (0.4682080925 0.4797687861 0.0520231214)
200) motivo=Leisure 90 46 [17,1.67e+03) (0.4888888889 0.4555555556 0.0555555556) *
201) motivo=Others 83 41 [1.67e+03,5.51e+03) (0.4457831325 0.5060240964 0.0481927711) *
101) aloja=Rest of market 42 21 [1.67e+03,5.51e+03) (0.3809523810 0.5000000000 0.1190476190) *
51) motivo=Business 12 6 [17,1.67e+03) (0.5000000000 0.3333333333 0.1666666667) *
13) aloja=Hotels 693 275 [1.67e+03,5.51e+03) (0.3780663781 0.6031746032 0.0187590188) *
7) pais=Rest of America 568 187 [1.67e+03,5.51e+03) (0.3010563380 0.6707746479 0.0281690141)
14) motivo=Leisure 390 142 [1.67e+03,5.51e+03) (0.3589743590 0.6358974359 0.0051282051) *
15) motivo=Business,Others 178 45 [1.67e+03,5.51e+03) (0.1741573034 0.7471910112 0.0786516854)
30) aloja=Hotels,Over-The-Counter Accommodation 159 34 [1.67e+03,5.51e+03) (0.1886792453 0.7861635220 0.0251572327) *
31) aloja=Rest of market 19 9 [5.51e+03,1.99e+04] (0.0526315789 0.4210526316 0.5263157895) *
2 successful models have been tested
n= 10689
node), split, n, loss, yval, (yprob)
* denotes terminal node
1) root 10689 1733 [17,1.67e+03) (0.8378707082 0.1554869492 0.0066423426)
2) pais=Germany,Belgium,France,Ireland,Italy,Netherlands,Portugal,UK,Switzerland,Rusia,Nordic countries,Rest of Europe 9092 734 [17,1.67e+03) (0.9192696876 0.0785305763 0.0021997360)
4) aloja=Hotels,Over-The-Counter Accommodation 8194 557 [17,1.67e+03) (0.9320234318 0.0671222846 0.0008542836) *
5) aloja=Rest of market 898 177 [17,1.67e+03) (0.8028953229 0.1826280624 0.0144766147)
10) pais=Belgium,France,Ireland,Portugal 238 26 [17,1.67e+03) (0.8907563025 0.1008403361 0.0084033613) *
11) pais=Germany,Italy,Netherlands,UK,Switzerland,Rusia,Nordic countries,Rest of Europe 660 151 [17,1.67e+03) (0.7712121212 0.2121212121 0.0166666667)
22) motivo=Leisure,Business 583 125 [17,1.67e+03) (0.7855917667 0.2126929674 0.0017152659) *
23) motivo=Others 77 26 [17,1.67e+03) (0.6623376623 0.2077922078 0.1298701299)
46) pais=Germany,Italy,Netherlands,UK,Switzerland 68 18 [17,1.67e+03) (0.7352941176 0.1617647059 0.1029411765) *
47) pais=Nordic countries,Rest of Europe 9 4 [1.67e+03,5.51e+03) (0.1111111111 0.5555555556 0.3333333333) *
3) pais=USA,Rest of America,Rest of world 1597 649 [1.67e+03,5.51e+03) (0.3744520977 0.5936130244 0.0319348779)
6) pais=USA,Rest of world 1029 462 [1.67e+03,5.51e+03) (0.4149659864 0.5510204082 0.0340136054)
12) aloja=Rest of market,Over-The-Counter Accommodation 336 171 [17,1.67e+03) (0.4910714286 0.4434523810 0.0654761905)
24) pais=USA 109 47 [17,1.67e+03) (0.5688073394 0.3761467890 0.0550458716) *
25) pais=Rest of world 227 119 [1.67e+03,5.51e+03) (0.4537444934 0.4757709251 0.0704845815)
50) motivo=Leisure,Others 215 111 [1.67e+03,5.51e+03) (0.4511627907 0.4837209302 0.0651162791)
100) aloja=Over-The-Counter Accommodation 173 90 [1.67e+03,5.51e+03) (0.4682080925 0.4797687861 0.0520231214)
200) motivo=Leisure 90 46 [17,1.67e+03) (0.4888888889 0.4555555556 0.0555555556) *
201) motivo=Others 83 41 [1.67e+03,5.51e+03) (0.4457831325 0.5060240964 0.0481927711) *
101) aloja=Rest of market 42 21 [1.67e+03,5.51e+03) (0.3809523810 0.5000000000 0.1190476190) *
51) motivo=Business 12 6 [17,1.67e+03) (0.5000000000 0.3333333333 0.1666666667) *
13) aloja=Hotels 693 275 [1.67e+03,5.51e+03) (0.3780663781 0.6031746032 0.0187590188) *
7) pais=Rest of America 568 187 [1.67e+03,5.51e+03) (0.3010563380 0.6707746479 0.0281690141)
14) motivo=Leisure 390 142 [1.67e+03,5.51e+03) (0.3589743590 0.6358974359 0.0051282051) *
15) motivo=Business,Others 178 45 [1.67e+03,5.51e+03) (0.1741573034 0.7471910112 0.0786516854)
30) aloja=Hotels,Over-The-Counter Accommodation 159 34 [1.67e+03,5.51e+03) (0.1886792453 0.7861635220 0.0251572327) *
31) aloja=Rest of market 19 9 [5.51e+03,1.99e+04] (0.0526315789 0.4210526316 0.5263157895) *
── 1. Error: Test CART with EGATUR dataset. (@test-CART.R#14) ─────────────────
incorrect number of dimensions
Backtrace:
1. MachineLearning::CART(...)
2. base::order(...)
attributes importance
1 pais 0.049161047
2 aloja 0.008279454
3 motivo 0.004326729
attributes importance
1 pais 0.049161047
2 aloja 0.008279454
3 motivo 0.004326729
attributes importance
1 pais 0.049161047
2 aloja 0.008279454
3 motivo 0.004326729
attributes importance
1 pais 0.049161047
2 aloja 0.008279454
3 motivo 0.004326729
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 23 | SKIPPED: 0 | WARNINGS: 1 | FAILED: 1 ]
1. Error: Test CART with EGATUR dataset. (@test-CART.R#14)
Error: testthat unit tests failed
Execution halted
Flavor: r-release-linux-x86_64