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mikeizbicki committed Jul 22, 2015
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7 changes: 6 additions & 1 deletion .gitignore
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*.Rout
*.csv
*.class
*.o

results
cover_tree

hlearn-allknn
hlearn-linear
*.swp
*.swo
dist/
gitignore/
examples/
examples/old/
scripts/
32 changes: 32 additions & 0 deletions .travis.yml
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# NB: don't set `language: haskell` here

# The following enables several GHC versions to be tested; often it's enough to test only against the last release in a major GHC version. Feel free to omit lines listings versions you don't need/want testing for.
env:
- CABALVER=1.22 GHCVER=7.10.1 LLVMVER=3.5
- CABALVER=1.22 GHCVER=7.10.2 LLVMVER=3.5
# - CABALVER=head GHCVER=head # see section about GHC HEAD snapshots

before_install:
- export PATH="~/.cabal/bin:/opt/ghc/$GHCVER/bin:/opt/cabal/$CABALVER/bin:/usr/bin:$PATH"

install:
- travis_retry sudo curl https://raw.githubusercontent.com/mikeizbicki/HLearn/travis/install/ubuntu-precise.sh | sh
#- mkdir /home/travis/.cabal
#- echo 'optimization: False' >> /home/travis/.cabal/config
# Sometimes GHC uses too much RAM for the travis server, causing the install script to fail.
# In this case, we can fix the problem by reinstalling without optimizations.

# Here starts the actual work to be performed for the package under test; any command which exits with a non-zero exit code causes the build to fail.
script:
- if [ -f configure.ac ]; then autoreconf -i; fi
- cabal configure -fO0 --enable-tests --enable-benchmarks -v2 # -v2 provides useful information for debugging
- cabal build # this builds all libraries and executables (including tests/benchmarks)
- cabal test
- cabal check
- cabal sdist # tests that a source-distribution can be generated

# Check that the resulting source distribution can be built & installed.
# If there are no other `.tar.gz` files in `dist`, this can be even simpler:
# `cabal install --force-reinstalls dist/*-*.tar.gz`
- SRC_TGZ=$(cabal info . | awk '{print $2;exit}').tar.gz &&
(cd dist && cabal install --force-reinstalls "$SRC_TGZ")
218 changes: 218 additions & 0 deletions HLearn.cabal
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Name: HLearn
Version: 2.0.0.0
Synopsis: Homomorphic machine learning
Category: Data Mining, Machine Learning, Algorithms, Data structures
License: BSD3
License-file: LICENSE
Author: Mike izbicki
Maintainer: [email protected]
Build-Type: Simple
Cabal-Version: >=1.8
homepage: http://github.com/mikeizbicki/HLearn/
bug-reports: http://github.com/mikeizbicki/HLearn/issues

Description:
HLearn is an experimental, but high performance machine learning library.
For example, it currently has the world's fastest nearest neighbor implementation.
It uses <http://github.com/mikeizbicki/subhask subhask> for fast numeric computations.
The <http://github.com/mikeizbicki/hlearn/blob/master/README.md README> on github contains much more information.

source-repository head
type: git
location: http://github.com/mikeizbicki/hlearn

--------------------------------------------------------------------------------

Library
Build-Depends:
-- common dependencies
base >= 4.8 && <4.9,
subhask >= 0.1,

-- control
mtl >= 2.1.2,

-- i/o
ansi-terminal >= 0.6.1.1,
directory >= 1.2,
time >= 1.4.2

-- visualization
-- diagrams-svg >= 0.6,
-- diagrams-lib >= 1.3,
-- process >= 1.1
-- graphviz >= 2999.16

hs-source-dirs:
src

Exposed-modules:

HLearn.History
HLearn.History.Timing

-- HLearn.Data.Graph
-- HLearn.Data.Image
HLearn.Data.LoadData
HLearn.Data.SpaceTree
HLearn.Data.SpaceTree.CoverTree
HLearn.Data.SpaceTree.CoverTree_Specialized
HLearn.Data.SpaceTree.CoverTree.Unsafe
HLearn.Data.SpaceTree.Algorithms
HLearn.Data.SpaceTree.Algorithms_Specialized

-- HLearn.Evaluation.CrossValidation

HLearn.Classifiers.Linear
HLearn.Models.Distributions

HLearn.Optimization.Multivariate
HLearn.Optimization.Univariate

-- HLearn.Optimization.Amoeba
-- HLearn.Optimization.Conic
-- HLearn.Optimization.StepSize
-- HLearn.Optimization.StochasticGradientDescent
-- HLearn.Optimization.StepSize.Linear
-- HLearn.Optimization.StepSize.Const
-- HLearn.Optimization.StepSize.AlmeidaLanglois

Other-modules:

Extensions:
FlexibleInstances
FlexibleContexts
MultiParamTypeClasses
FunctionalDependencies
UndecidableInstances
ScopedTypeVariables
BangPatterns
TypeOperators
GeneralizedNewtypeDeriving
TypeFamilies
StandaloneDeriving
GADTs
KindSignatures
ConstraintKinds
DeriveDataTypeable
RankNTypes
ImpredicativeTypes

DataKinds
PolyKinds
AutoDeriveTypeable
TemplateHaskell
QuasiQuotes
RebindableSyntax
NoImplicitPrelude
UnboxedTuples
MagicHash
PolymorphicComponents
ExplicitNamespaces
EmptyDataDecls

PartialTypeSignatures
MultiWayIf

--------------------------------------------------------------------------------

Test-Suite BashTests
type: exitcode-stdio-1.0
hs-source-dirs: test
main-is: BashTests.hs
build-depends: base, process

---------------------------------------

Test-Suite QuickCheck-Unoptimized
type: exitcode-stdio-1.0
hs-source-dirs: test
main-is: QuickCheck.hs

ghc-options:
-O0

build-depends:
subhask,
HLearn,
test-framework-quickcheck2 >= 0.3.0,
test-framework >= 0.8.0

Test-Suite QuickCheck-Optimized
type: exitcode-stdio-1.0
hs-source-dirs: test
main-is: QuickCheck.hs

ghc-options:
-O1

build-depends:
subhask,
HLearn,
test-framework-quickcheck2 >= 0.3.0,
test-framework >= 0.8.0

---------------------------------------

Test-Suite Example0001
type: exitcode-stdio-1.0
hs-source-dirs: examples
main-is: example0001-optimization-univariate.hs
build-depends: HLearn, subhask, base

Test-Suite Example0002
type: exitcode-stdio-1.0
hs-source-dirs: examples
main-is: example0002-optimization-multivariate.hs
build-depends: HLearn, subhask, base

Test-Suite Example0003
type: exitcode-stdio-1.0
hs-source-dirs: examples
main-is: example0003-classification.hs
build-depends: HLearn, subhask, base

--------------------------------------------------------------------------------

executable hlearn-allknn
main-is: Main.hs
hs-source-dirs: executables/hlearn-allknn

ghc-options:
-threaded
-rtsopts

-funbox-strict-fields
-fexcess-precision

-- -prof -osuf p_o -hisuf p_hi

-fllvm
-optlo-O3
-optlo-enable-fp-mad
-optlo-enable-no-infs-fp-math
-optlo-enable-no-nans-fp-math
-optlo-enable-unsafe-fp-math

-- -ddump-to-file
-- -ddump-rule-firings
-- -ddump-rule-rewrites
-- -ddump-rules
-- -ddump-simpl
-- -ddump-simpl-stats
-- -dppr-debug
-- -dsuppress-module-prefixes
-- -dsuppress-uniques
-- -dsuppress-idinfo
-- -dsuppress-coercions
-- -dsuppress-type-applications

-- -ddump-cmm

build-depends:
base ,
HLearn ,
subhask ,

cmdargs,
MonadRandom
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