[mlpack-svn] r15341 - mlpack/conf/jenkins-conf/benchmark
fastlab-svn at coffeetalk-1.cc.gatech.edu
fastlab-svn at coffeetalk-1.cc.gatech.edu
Wed Jun 26 13:32:07 EDT 2013
Author: marcus
Date: Wed Jun 26 13:32:06 2013
New Revision: 15341
Log:
Update config to start the new scripts (Default no script will be executed).
Modified:
mlpack/conf/jenkins-conf/benchmark/config.yaml
Modified: mlpack/conf/jenkins-conf/benchmark/config.yaml
==============================================================================
--- mlpack/conf/jenkins-conf/benchmark/config.yaml (original)
+++ mlpack/conf/jenkins-conf/benchmark/config.yaml Wed Jun 26 13:32:06 2013
@@ -3,29 +3,35 @@
library: mlpack
methods:
PCA:
+ run: false
script: methods/mlpack/pca.py
format: [csv, txt]
datasets:
- - files: ['datasets/cities.csv', 'datasets/faces.csv', 'datasets/iris.csv', 'datasets/wine.csv', 'datasets/artificial_data.csv']
+ - files: ['datasets/cities.csv', 'datasets/faces.csv', 'datasets/iris.csv',
+ 'datasets/wine.csv', 'datasets/artificial_data.csv']
- - files: ['datasets/cities.csv', 'datasets/iris.csv', 'datasets/wine.csv', 'datasets/artificial_data.csv']
+ - files: ['datasets/cities.csv', 'datasets/iris.csv', 'datasets/wine.csv',
+ 'datasets/artificial_data.csv']
options: '-d 2'
- - files: ['datasets/cities.csv', 'datasets/faces.csv', 'datasets/iris.csv', 'datasets/wine.csv', 'datasets/artificial_data.csv']
+ - files: ['datasets/cities.csv', 'datasets/faces.csv', 'datasets/iris.csv',
+ 'datasets/wine.csv', 'datasets/artificial_data.csv']
options: '-d 2 -s'
NMF:
+ run: false
script: methods/mlpack/nmf.py
format: [csv, txt]
datasets:
- - files: ['datasets/piano_magnitude_spectogram.csv']
+ - files: ['datasets/piano_magnitude_spectogram.csv', 'datasets/pendigits.csv']
options: '-r 6 -s 42 -u multdist'
- - files: ['datasets/piano_magnitude_spectogram.csv']
+ - files: ['datasets/piano_magnitude_spectogram.csv', 'datasets/pendigits.csv']
options: '-r 6 -s 42 -u multdiv'
- files: ['datasets/piano_magnitude_spectogram.csv', 'datasets/pendigits.csv']
options: '-r 6 -s 42 -u als'
KMeans:
+ run: false
script: methods/mlpack/kmeans.py
format: [csv, txt]
datasets:
@@ -53,47 +59,64 @@
- files: ['datasets/isolet.csv']
options: '-c 26'
NBC:
+ run: false
script: methods/mlpack/nbc.py
format: [csv, txt]
datasets:
- files: [ ['datasets/iris_train.csv', 'datasets/iris_test.csv'] ]
KPCA:
+ run: false
script: methods/mlpack/kernel_pca.py
format: [csv, txt]
datasets:
- files: ['datasets/circle_data.csv']
options: '-k linear'
- - files: ['datasets/circle_data.csv', 'datasets/abalone.csv' , 'datasets/cal_housing.csv', 'datasets/bank8FM.csv', 'datasets/stock.csv']
+ - files: ['datasets/circle_data.csv', 'datasets/abalone.csv' , 'datasets/cal_housing.csv',
+ 'datasets/bank8FM.csv', 'datasets/stock.csv']
options: '-k gaussian'
- - files: ['datasets/circle_data.csv', 'datasets/abalone.csv' , 'datasets/cal_housing.csv', 'datasets/bank8FM.csv', 'datasets/stock.csv']
+ - files: ['datasets/circle_data.csv', 'datasets/abalone.csv' , 'datasets/cal_housing.csv',
+ 'datasets/bank8FM.csv', 'datasets/stock.csv']
options: '-k polynomial'
- - files: ['datasets/circle_data.csv', 'datasets/abalone.csv' , 'datasets/cal_housing.csv', 'datasets/bank8FM.csv', 'datasets/stock.csv']
+ - files: ['datasets/circle_data.csv', 'datasets/abalone.csv' , 'datasets/cal_housing.csv',
+ 'datasets/bank8FM.csv', 'datasets/stock.csv']
options: '-k hyptan'
- - files: ['datasets/circle_data.csv', 'datasets/abalone.csv' , 'datasets/cal_housing.csv', 'datasets/bank8FM.csv', 'datasets/stock.csv']
+ - files: ['datasets/circle_data.csv', 'datasets/abalone.csv' , 'datasets/cal_housing.csv',
+ 'datasets/bank8FM.csv', 'datasets/stock.csv']
options: '-k laplacian'
- - files: ['datasets/circle_data.csv', 'datasets/abalone.csv' , 'datasets/cal_housing.csv', 'datasets/bank8FM.csv', 'datasets/stock.csv']
+ - files: ['datasets/circle_data.csv', 'datasets/abalone.csv' , 'datasets/cal_housing.csv',
+ 'datasets/bank8FM.csv', 'datasets/stock.csv']
options: '-k cosine'
LARS:
+ run: false
script: methods/mlpack/lars.py
format: [csv, txt]
datasets:
- - files: [ ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'], ['datasets/cosExp_X.csv', 'datasets/cosExp_y.csv'], ['datasets/arcene_X.csv', 'datasets/arcene_y.csv'], ['datasets/madelon_X.csv', 'datasets/madelon_y.csv'] ]
+ - files: [ ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'],
+ ['datasets/cosExp_X.csv', 'datasets/cosExp_y.csv'],
+ ['datasets/arcene_X.csv', 'datasets/arcene_y.csv'],
+ ['datasets/madelon_X.csv', 'datasets/madelon_y.csv'] ]
options: '--lambda1 0.01 --lambda2 0.005'
- - files: [ ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'], ['datasets/cosExp_X.csv', 'datasets/cosExp_y.csv'], ['datasets/arcene_X.csv', 'datasets/arcene_y.csv'], ['datasets/madelon_X.csv', 'datasets/madelon_y.csv'] ]
+ - files: [ ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'],
+ ['datasets/cosExp_X.csv', 'datasets/cosExp_y.csv'],
+ ['datasets/arcene_X.csv', 'datasets/arcene_y.csv'],
+ ['datasets/madelon_X.csv', 'datasets/madelon_y.csv'] ]
options: '--lambda1 0.01 --lambda2 0.005 --use_cholesky'
LSH:
+ run: false
script: methods/mlpack/lsh.py
format: [csv, txt]
datasets:
- - files: ['datasets/wine.csv', 'datasets/cloud.csv', 'datasets/isolet.csv', 'dataset/covtype.csv', 'datasets/wine_qual.csv']
+ - files: ['datasets/wine.csv', 'datasets/cloud.csv', 'datasets/isolet.csv',
+ 'dataset/covtype.csv', 'datasets/wine_qual.csv']
options: '-k 3 -s 42'
ALLKNN:
+ run: false
script: methods/mlpack/allknn.py
format: [csv, txt]
datasets:
@@ -112,6 +135,7 @@
- files: ['datasets/wine.csv', 'datasets/cloud.csv', 'datasets/pendigits.csv']
options: '-k 3 -s 42 -N'
ALLKFN:
+ run: false
script: methods/mlpack/allkfn.py
format: [csv, txt]
datasets:
@@ -124,6 +148,7 @@
- files: ['datasets/wine.csv', 'datasets/cloud.csv', 'datasets/pendigits.csv']
options: '-k 3 -N'
ALLKRANN:
+ run: false
script: methods/mlpack/allkrann.py
format: [csv, txt]
run: false
@@ -143,6 +168,7 @@
- files: ['datasets/wine.csv', 'datasets/cloud.csv', 'datasets/pendigits.csv', 'datasets/isolet.csv']
options: '-k 3 -t 10 -X'
RANGESEARCH:
+ run: false
script: methods/mlpack/range_search.py
format: [csv, txt]
datasets:
@@ -155,25 +181,34 @@
- files: ['datasets/wine.csv', 'datasets/artificial_40D.csv']
options: '--min=1.3 --max=20.3 -s'
GMM:
+ run: false
script: methods/mlpack/gmm.py
format: [csv, txt]
datasets:
- - files: ['datasets/artificial_2DSignal.csv', 'datasets/artificial_5DSignal.csv', 'datasets/iris.csv', 'datasets/vehicle.csv', 'datasets/wine.csv', 'datasets/USCensus1990.csv', 'datasets/optdigits.csv', 'datasets/isolet.csv']
+ - files: ['datasets/artificial_2DSignal.csv', 'datasets/artificial_5DSignal.csv',
+ 'datasets/iris.csv', 'datasets/vehicle.csv', 'datasets/wine.csv',
+ 'datasets/USCensus1990.csv', 'datasets/optdigits.csv',
+ 'datasets/isolet.csv']
options: '-s 42'
- - files: ['datasets/artificial_2DSignal.csv', 'datasets/iris.csv', 'datasets/vehicle.csv', 'datasets/wine.csv', 'datasets/USCensus1990.csv', 'datasets/isolet.csv']
+ - files: ['datasets/artificial_2DSignal.csv', 'datasets/iris.csv', 'datasets/vehicle.csv',
+ 'datasets/wine.csv', 'datasets/USCensus1990.csv', 'datasets/isolet.csv']
options: '-P -s 42'
DET:
+ run: false
script: methods/mlpack/det.py
format: [csv, txt]
datasets:
- files: ['datasets/iris.csv', 'datasets/cloud.csv']
- - files: ['datasets/iris.csv', 'datasets/cloud.csv', ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'] ]
+ - files: ['datasets/iris.csv', 'datasets/cloud.csv',
+ ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'] ]
options: '-f 0'
- - files: [ ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'], ['datasets/madelon_X.csv', 'datasets/madelon_y.csv'] ]
+ - files: [ ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'],
+ ['datasets/madelon_X.csv', 'datasets/madelon_y.csv'] ]
EMST:
+ run: false
script: methods/mlpack/emst.py
format: [csv, txt]
datasets:
@@ -182,11 +217,18 @@
- files: ['datasets/iris.csv']
options: '-n'
LinearRegression:
+ run: false
script: methods/mlpack/linear_regression.py
format: [csv, txt]
datasets:
- - files: [ ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'], ['datasets/madelon_X.csv', 'datasets/madelon_y.csv'], ['datasets/arcene_X.csv', 'datasets/arcene_y.csv'], ['datasets/cosExp_X.csv', 'datasets/cosExp_y.csv'], 'datasets/ticdata2000.csv', 'datasets/TomsHardware.csv', 'datasets/Twitter.csv']
+ - files: [ ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'],
+ ['datasets/madelon_X.csv', 'datasets/madelon_y.csv'],
+ ['datasets/arcene_X.csv', 'datasets/arcene_y.csv'],
+ ['datasets/cosExp_X.csv', 'datasets/cosExp_y.csv'],
+ 'datasets/ticdata2000.csv', 'datasets/TomsHardware.csv',
+ 'datasets/Twitter.csv']
LocalCoordinateCoding:
+ run: false
script: methods/mlpack/local_coordinate_coding.py
format: [csv, txt]
datasets:
@@ -196,6 +238,7 @@
- files: ['datasets/pendigits.csv']
options: '-k 12 -s 42 -N'
SparseCoding:
+ run: false
script: methods/mlpack/sparse_coding.py
format: [csv, txt]
datasets:
@@ -208,6 +251,7 @@
- files: ['datasets/pendigits.csv']
options: '-k 12 -s 42 -N'
FastMKS:
+ run: false
script: methods/mlpack/fastmks.py
format: [csv, txt]
datasets:
@@ -243,3 +287,56 @@
- files: ['datasets/optdigits.csv', 'datasets/covtype.csv']
options: '-k 10 -K triangular'
+ NCA:
+ run: false
+ script: methods/mlpack/nca.py
+ format: [csv, txt]
+ datasets:
+ - files: ['datasets/iris_train.csv', ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'] ]
+ options: '-n 2000 -O sgd -s 42'
+
+ - files: ['datasets/iris_train.csv', ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'] ]
+ options: '-n 2000 -O lbfgs -s 42'
+
+ - files: ['datasets/iris_train.csv', ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'] ]
+ options: '-n 2000 -O lbfgs -s 42 -w 0.5'
+
+ - files: ['datasets/iris_train.csv', ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'] ]
+ options: '-n 2000 -O lbfgs -s 42 -w 0.5 -B 5'
+
+ - files: ['datasets/iris_train.csv', ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'] ]
+ options: '-n 2000 -O lbfgs -s 42 -B 5'
+
+ - files: ['datasets/iris_train.csv', ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'] ]
+ options: '-n 2000 -N -s 42'
+ HMMTRAIN:
+ run: false
+ script: methods/mlpack/hmm_train.py
+ format: [csv, txt]
+ datasets:
+ - files: ['datasets/artificial_2DSignal.csv']
+ options: '-t gaussian -n 20 -s 42'
+
+ - files: ['datasets/artificial_1DSignal.csv']
+ options: '-t discrete -n 20 -s 42'
+ HMMGENERATE:
+ run: false
+ script: methods/mlpack/hmm_generate.py
+ format: [csv, txt]
+ datasets:
+ - files: ['datasets/artificial_2DSignal_hmm.xml', 'datasets/artificial_1DSignal_hmm.xml']
+ options: '-l 10000'
+ HMMLOGLIK:
+ run: false
+ script: methods/mlpack/hmm_loglik.py
+ format: [csv, txt]
+ datasets:
+ - files: [ ['datasets/artificial_2DSignal.csv', 'datasets/artificial_2DSignal_hmm.xml'],
+ ['datasets/artificial_1DSignal.csv', 'datasets/artificial_1DSignal_hmm.xml'] ]
+ HMMVITERBI:
+ run: true
+ script: methods/mlpack/hmm_viterbi.py
+ format: [csv, txt]
+ datasets:
+ - files: [ ['datasets/artificial_2DSignal.csv', 'datasets/artificial_2DSignal_hmm.xml'],
+ ['datasets/artificial_1DSignal.csv', 'datasets/artificial_1DSignal_hmm.xml'] ]
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