Coder Social home page Coder Social logo

mltool's People

Contributors

aligusnet avatar bzaar avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar

mltool's Issues

Stack Build fails

I attempted to build it recently, and it starts out fine...

stack build
Downloaded lts-11.13 build plan.    
dlist-0.8.0.4: configure
primitive-0.6.4.0: download

...then later on:

hmatrix-gsl-0.18.2.0: download
hmatrix-morpheus-0.1.1.1: configure
hmatrix-morpheus-0.1.1.1: build
hmatrix-gsl-0.18.2.0: configure
hmatrix-morpheus-0.1.1.1: copy/register
Progress: 28/29
--  While building custom Setup.hs for package hmatrix-gsl-0.18.2.0 using:
      /Users/titus/.stack/setup-exe-cache/x86_64-osx/Cabal-simple_mPHDZzAJ_2.0.1.0_ghc-8.2.2 --builddir=.stack-work/dist/x86_64-osx/Cabal-2.0.1.0 configure --with-ghc=/Users/titus/.stack/programs/x86_64-osx/ghc-8.2.2/bin/ghc --with-ghc-pkg=/Users/titus/.stack/programs/x86_64-osx/ghc-8.2.2/bin/ghc-pkg --user --package-db=clear --package-db=global --package-db=/Users/titus/.stack/snapshots/x86_64-osx/lts-11.13/8.2.2/pkgdb --libdir=/Users/titus/.stack/snapshots/x86_64-osx/lts-11.13/8.2.2/lib --bindir=/Users/titus/.stack/snapshots/x86_64-osx/lts-11.13/8.2.2/bin --datadir=/Users/titus/.stack/snapshots/x86_64-osx/lts-11.13/8.2.2/share --libexecdir=/Users/titus/.stack/snapshots/x86_64-osx/lts-11.13/8.2.2/libexec --sysconfdir=/Users/titus/.stack/snapshots/x86_64-osx/lts-11.13/8.2.2/etc --docdir=/Users/titus/.stack/snapshots/x86_64-osx/lts-11.13/8.2.2/doc/hmatrix-gsl-0.18.2.0 --htmldir=/Users/titus/.stack/snapshots/x86_64-osx/lts-11.13/8.2.2/doc/hmatrix-gsl-0.18.2.0 --haddockdir=/Users/titus/.stack/snapshots/x86_64-osx/lts-11.13/8.2.2/doc/hmatrix-gsl-0.18.2.0 --dependency=array=array-0.5.2.0 --dependency=base=base-4.10.1.0 --dependency=hmatrix=hmatrix-0.18.2.0-9WbiaMAYBVLIUMmdJ00a5 --dependency=process=process-1.6.1.0 --dependency=random=random-1.1-LLUGZ7T9DqQ5vN0Jbcd0We --dependency=vector=vector-0.12.0.1-81HFvG2McTgAiNXCyGXulK --extra-lib-dirs=/usr/lib
    Process exited with code: ExitFailure 1
    Logs have been written to: /Users/titus/GAMES/mltool/.stack-work/logs/hmatrix-gsl-0.18.2.0.log

    Configuring hmatrix-gsl-0.18.2.0...
    Cabal-simple_mPHDZzAJ_2.0.1.0_ghc-8.2.2: The pkg-config package 'gsl' is
    required but it could not be found.

I am using stack version 1.6.3

Version 1.6.3, Git revision b27e629b8c4ce369e3b8273f04db193b060000db (5454 commits) x86_64 hpack-0.20.0

Sporadic test failures

Sometimes some is the test cab fail due to numerical issues. In most case (like 98%) they run just fine.

e.g.:

mltool $ ./scripts/test_runner.py 
mltool-0.1.0.0: test (suite: mltool-test)


running unit tests using command: /Users/ai/src/mltool/.stack-work/dist/x86_64-osx/Cabal-1.24.0.0/build/mltool-test/mltool-test --jxml=mltool-test.xml 
 [============================================================] 100.0%
MachineLearning.SoftmaxClassifier.learn-Conjugate Gradient FR 2
MachineLearning.SoftmaxClassifier.learn-Conjugate Gradient PR 1
MachineLearning.NeuralNetwork.learn-ReLU - Softmax: BFGS 1
MachineLearning.MultiSvmClassifier.learn-BFGS 1
MachineLearning.Classification.OneVsAll.optPath-Gradient Descent 1

src/MachineLearning/Regression.hs: Ambiguous occurrence ‘<>’

From the Stackage Nightly build:

src/MachineLearning/Regression.hs:38:19: error:
    Ambiguous occurrence ‘<>’
    It could refer to either ‘Prelude.<>’,
                             imported from ‘Prelude’ at src/MachineLearning/Regression.hs:10:8-33
                             (and originally defined in ‘GHC.Base’)
                          or ‘Numeric.LinearAlgebra.<>’,
                             imported from ‘Numeric.LinearAlgebra’ at src/MachineLearning/Regression.hs:30:31-34
   |
38 |   in (LA.inv (trX <> x) <> trX) #> y
   |                   ^^

src/MachineLearning/Regression.hs:38:25: error:
    Ambiguous occurrence ‘<>’
    It could refer to either ‘Prelude.<>’,
                             imported from ‘Prelude’ at src/MachineLearning/Regression.hs:10:8-33
                             (and originally defined in ‘GHC.Base’)
                          or ‘Numeric.LinearAlgebra.<>’,
                             imported from ‘Numeric.LinearAlgebra’ at src/MachineLearning/Regression.hs:30:31-34
   |
38 |   in (LA.inv (trX <> x) <> trX) #> y
   |                         ^^

src/MachineLearning/Regression.hs:46:20: error:
    Ambiguous occurrence ‘<>’
    It could refer to either ‘Prelude.<>’,
                             imported from ‘Prelude’ at src/MachineLearning/Regression.hs:10:8-33
                             (and originally defined in ‘GHC.Base’)
                          or ‘Numeric.LinearAlgebra.<>’,
                             imported from ‘Numeric.LinearAlgebra’ at src/MachineLearning/Regression.hs:30:31-34
   |
46 |   in (LA.pinv (trX <> x) <> trX) #> y
   |                    ^^

src/MachineLearning/Regression.hs:46:26: error:
    Ambiguous occurrence ‘<>’
    It could refer to either ‘Prelude.<>’,
                             imported from ‘Prelude’ at src/MachineLearning/Regression.hs:10:8-33
                             (and originally defined in ‘GHC.Base’)
                          or ‘Numeric.LinearAlgebra.<>’,
                             imported from ‘Numeric.LinearAlgebra’ at src/MachineLearning/Regression.hs:30:31-34
   |
46 |   in (LA.pinv (trX <> x) <> trX) #> y
   |                          ^^

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.