[mlpack-svn] r17241 - mlpack/conf/jenkins-conf/benchmarks
fastlab-svn at coffeetalk-1.cc.gatech.edu
fastlab-svn at coffeetalk-1.cc.gatech.edu
Sat Oct 11 15:28:17 EDT 2014
Author: marcus
Date: Sat Oct 11 15:28:17 2014
New Revision: 17241
Log:
Fix syntax for the kmeans method; decrease number of trails.
Modified:
mlpack/conf/jenkins-conf/benchmarks/daily-benchmark.yaml
Modified: mlpack/conf/jenkins-conf/benchmarks/daily-benchmark.yaml
==============================================================================
--- mlpack/conf/jenkins-conf/benchmarks/daily-benchmark.yaml (original)
+++ mlpack/conf/jenkins-conf/benchmarks/daily-benchmark.yaml Sat Oct 11 15:28:17 2014
@@ -17,6 +17,7 @@
run: ['timing']
script: methods/mlpack/allknn.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/cloud.csv', 'datasets/isolet.csv',
'datasets/covtype.csv', 'datasets/corel-histogram.csv']
@@ -58,6 +59,7 @@
run: ['timing']
script: methods/mlpack/allkfn.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/cloud.csv', 'datasets/isolet.csv',
'datasets/covtype.csv', 'datasets/corel-histogram.csv']
@@ -95,6 +97,7 @@
run: ['timing']
script: methods/mlpack/allkrann.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/cloud.csv', 'datasets/isolet.csv',
'datasets/covtype.csv', 'datasets/corel-histogram.csv']
@@ -136,6 +139,7 @@
run: ['timing']
script: methods/mlpack/decision_stump.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: [ ['datasets/iris_train.csv', 'datasets/iris_test.csv'],
['datasets/optdigits_train.csv', 'datasets/optdigits_test.csv'] ]
@@ -148,6 +152,7 @@
run: ['timing']
script: methods/mlpack/det.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/iris.csv', 'datasets/cloud.csv',
['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'] ]
@@ -160,6 +165,7 @@
run: ['timing']
script: methods/mlpack/emst.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/cloud.csv', 'datasets/isolet.csv',
'datasets/covtype.csv', 'datasets/corel-histogram.csv']
@@ -176,6 +182,7 @@
run: ['timing']
script: methods/mlpack/fastmks.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/optdigits.csv', 'datasets/cloud.csv',
'datasets/corel-histogram.csv']
@@ -206,6 +213,7 @@
iteration: 5
script: methods/mlpack/gmm.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/iris.csv', 'datasets/wine.csv']
options: '--gaussians 3 --seed 42'
@@ -241,6 +249,7 @@
run: ['timing']
script: methods/mlpack/hmm_train.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/artificial_2DSignal.csv']
options: '--type gaussian --states 20 --seed 42'
@@ -252,6 +261,7 @@
run: ['timing']
script: methods/mlpack/hmm_generate.py
format: [csv, txt, xml]
+ iteration: 2
datasets:
- files: ['datasets/artificial_2DSignal_hmm.xml', 'datasets/artificial_1DSignal_hmm.xml']
options: '--length 10000'
@@ -260,6 +270,7 @@
run: ['timing']
script: methods/mlpack/hmm_loglik.py
format: [csv, txt, xml]
+ iteration: 2
datasets:
- files: [ ['datasets/artificial_2DSignal.csv', 'datasets/artificial_2DSignal_hmm.xml'],
['datasets/artificial_1DSignal.csv', 'datasets/artificial_1DSignal_hmm.xml'] ]
@@ -268,6 +279,7 @@
run: ['timing']
script: methods/mlpack/hmm_viterbi.py
format: [csv, txt, xml]
+ iteration: 2
datasets:
- files: [ ['datasets/artificial_2DSignal.csv', 'datasets/artificial_2DSignal_hmm.xml'],
['datasets/artificial_1DSignal.csv', 'datasets/artificial_1DSignal_hmm.xml'] ]
@@ -276,6 +288,7 @@
run: ['timing']
script: methods/mlpack/kernel_pca.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/circle_data.csv', 'datasets/abalone.csv']
options: '--kernel linear --new_dimensionality 2'
@@ -317,23 +330,25 @@
run: ['timing']
script: methods/mlpack/kmeans.py
format: [csv, txt, arff]
+ iteration: 2
datasets:
- - files: ['datasets/cloud.csv', 'datasets/cloud_centroids.csv']
+ - files: [ ['datasets/cloud.csv', 'datasets/cloud_centroids.csv'] ]
options: '--clusters 5'
- - files: ['datasets/cloud.csv', 'datasets/cloud_centroids.csv']
+ - files: [ ['datasets/cloud.csv', 'datasets/cloud_centroids.csv'] ]
options: '--clusters 5 --allow_empty_clusters'
- - files: ['datasets/USCensus1990.csv', 'datasets/USCensus1990.csv']
+ - files: [ ['datasets/USCensus1990.csv', 'datasets/USCensus1990.csv'] ]
options: '--clusters 6'
- - files: ['datasets/USCensus1990.csv', 'datasets/USCensus1990.csv']
+ - files: [ ['datasets/USCensus1990.csv', 'datasets/USCensus1990.csv'] ]
options: '--clusters 6 --allow_empty_clusters'
LARS:
run: ['timing']
script: methods/mlpack/lars.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: [ ['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'],
['datasets/madelon_X.csv', 'datasets/madelon_y.csv'] ]
@@ -355,6 +370,7 @@
run: ['timing']
script: methods/mlpack/linear_regression.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: [ ['datasets/diabetes_X.csv'], ['datasets/cosExp_X.csv'],
['datasets/madelon_train.csv', 'datasets/madelon_test.csv'] ]
@@ -363,6 +379,7 @@
run: ['timing']
script: methods/mlpack/local_coordinate_coding.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/pendigits.csv']
options: '--atoms 12 --seed 42'
@@ -377,6 +394,7 @@
run: ['timing']
script: methods/mlpack/lsh.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/wine.csv', 'datasets/cloud.csv',
'datasets/corel-histogram.csv', 'datasets/covtype.csv']
@@ -394,6 +412,7 @@
run: ['timing']
script: methods/mlpack/nbc.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: [ ['datasets/iris_train.csv', 'datasets/iris_test.csv'],
['datasets/transfusion_train.csv', 'datasets/transfusion_test.csv'],
@@ -408,21 +427,23 @@
run: ['timing']
script: methods/mlpack/nca.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/iris_train.csv',
['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'],
'datasets/wine.csv', 'datasets/optdigits.csv']
- options: '--optimizer sgd --max_iterations 2000 --seed 42'
+ options: '--optimizer sgd --max_iteration 2000 --seed 42'
- files: ['datasets/iris_train.csv',
['datasets/diabetes_X.csv', 'datasets/diabetes_y.csv'],
'datasets/wine.csv', 'datasets/optdigits.csv']
- options: '--optimizer lbfgs --max_iterations 2000 --seed 42'
+ options: '--optimizer lbfgs --max_iteration 2000 --seed 42'
NMF:
run: ['timing']
script: methods/mlpack/nmf.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/ionosphere.csv', 'datasets/piano_magnitude_spectogram.csv',
'datasets/optdigits.csv', 'datasets/isolet.csv']
@@ -440,6 +461,7 @@
run: ['timing']
script: methods/mlpack/pca.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/iris.csv', 'datasets/wine.csv',
'datasets/cities.csv', 'datasets/diabetes_X.csv']
@@ -456,16 +478,18 @@
run: ['timing']
script: methods/mlpack/perceptron.py
format: [csv, txt, arff]
+ iteration: 2
datasets:
- files: [ ['datasets/iris_train.csv', 'datasets/iris_test.csv', 'datasets/iris_labels.csv'],
- ['datasets/oilspill_train.csv', 'datasets/oilspill_test.csv', 'datasets/oilspill_labels.csv'],
- ['datasets/ecoli_train.csv', 'datasets/ecoli_test.csv', 'datasets/ecoli_labels.csv'] ]
- options: '--iterations 10000'
+ ['datasets/oilspill_train.csv', 'datasets/oilspill_test.csv', 'datasets/oilspill_labels.csv'],
+ ['datasets/ecoli_train.csv', 'datasets/ecoli_test.csv', 'datasets/ecoli_labels.csv'] ]
+ options: '--iteration 10000'
RANGESEARCH:
run: ['timing']
script: methods/mlpack/range_search.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/wine.csv', 'datasets/cloud.csv',
'datasets/corel-histogram.csv']
@@ -511,9 +535,10 @@
run: ['timing']
script: methods/mlpack/sparse_coding.py
format: [csv, txt]
+ iteration: 2
datasets:
- files: ['datasets/pendigits.csv']
- options: '--atoms 12 --seed 42 --max_iterations 100'
+ options: '--atoms 12 --seed 42 --max_iteration 100'
- files: ['datasets/pendigits.csv']
options: '--atoms 12 --seed 42'
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