Package Details: mlpack 4.3.0-1

Git Clone URL: https://aur.archlinux.org/mlpack.git (read-only, click to copy)
Package Base: mlpack
Description: A fast, flexible, scalable C++ machine learning library
Upstream URL: https://mlpack.org
Keywords: c++ go julia learning machine python R
Licenses: custom:BSD-3-Clause
Submitter: jerry73204
Maintainer: carlosal1015
Last Packager: carlosal1015
Votes: 11
Popularity: 0.000022
First Submitted: 2015-10-29 03:40 (UTC)
Last Updated: 2023-12-03 01:24 (UTC)

Dependencies (18)

Required by (0)

Sources (1)

Latest Comments

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mark commented on 2019-01-21 10:01 (UTC)

@jerry73204 - it compiled successfully, thanks!

Also, it still complains about armadillo>=6.500.0, that it cannot be found so I have to install it explicitly. Other than that it's great!

jerry73204 commented on 2019-01-16 07:03 (UTC)

I update the package to 3.0.4 and disable check by default.

Mark please check if this update fixes your problem.

mark commented on 2019-01-15 08:43 (UTC)

gcc: error: unrecognized command line option ‘-std=c++11-march=x86-64’ error: command 'gcc' failed with exit status 1 make[2]: *** [src/mlpack/methods/sparse_coding/CMakeFiles/build_pyx_sparse_coding.dir/build.make:58: src/mlpack/methods/sparse_coding/CMakeFiles/build_pyx_sparse_coding] Error 1

This is when installing it with trizen, first it complained armadillo>=6.500.0 cannot be found, but it went away after installing it manually.

Is this a typo in the makefile or? Should there be a whitespace between 11 and the dash?

alcros33 commented on 2018-05-14 16:31 (UTC)

to jerry73204,

Thank you, I'll just skip the check() step, but just saying that I have reproduced the issue around 10 times...

jerry73204 commented on 2018-05-12 18:16 (UTC)

To alcron33, My build runs successfully and I cannot reproduce this error. The message indicates that it was caused by a failing test. It's better to report it to upstream. If you need the build to be done, as a remedy, you can comment out check() function in PKGBUILD.

alcros33 commented on 2018-05-11 18:29 (UTC) (edited on 2018-05-11 18:30 (UTC) by alcros33)

I have tried installing a couple of times... it always displays this error when doing the check() after build:

Running 1262 test cases... /tmp/yaourt-tmp-alcros33/aur-mlpack/src/mlpack-3.0.0/src/mlpack/tests/distribution_test.cpp(888): fatal error: in "DistributionTest/GammaDistributionRandomTest": difference{0.100615} between d2.Beta(i){1.1811578593978589} and b(i){1.3} exceeds 10%

unknown location(0): fatal error: in "DecisionTreeMainTest/DecisionTreeCategoricalOutputDimensionTest": memory access violation at address: 0x00000000: no mapping at fault address

/tmp/yaourt-tmp-alcros33/aur-mlpack/src/mlpack-3.0.0/src/mlpack/tests/main_tests/decision_tree_test.cpp(98): last checkpoint: "DecisionTreeCategoricalOutputDimensionTest" test entry

*** 2 failures are detected in the test module "mlpackTest"

jerry73204 commented on 2017-09-24 12:32 (UTC)

To flying-sheep: I drop the load_save_test. If you still encounter problems during tests, feel free to modify the PKGBUILD file.

flying-sheep commented on 2017-09-20 16:30 (UTC) (edited on 2017-09-20 18:11 (UTC) by flying-sheep)

hmm, i get the error mentioned in https://github.com/mlpack/mlpack/issues/1025 /home/phil/.cache/pacaur/mlpack/src/mlpack-2.2.5/src/mlpack/tests/load_save_test.cpp(637): fatal error: in "LoadSaveTest/LoadHDF5Test": critical check test.n_rows == 4 has failed [2 != 4] they say it can be safely ignored, but since the package doesn’t build without the tests passing, that isn’t helpful. maybe include a patch that fixes/disables the test?