From 1559654af1908ed3b6e500dec47f6e7c3c16f279 Mon Sep 17 00:00:00 2001
From: Fabian Pedregosa <fabian.pedregosa@inria.fr>
Date: Thu, 22 Apr 2010 12:40:21 +0000
Subject: [PATCH] Update svm benchmarks
Consider seconds, remove explicit garbage
collection, remove points but increase step size.
git-svn-id: https://scikit-learn.svn.sourceforge.net/svnroot/scikit-learn/trunk@690 22fbfee3-77ab-4535-9bad-27d1bd3bc7d8
---
scikits/learn/benchmarks/bench_svm.py | 23 +++++++----------------
1 file changed, 7 insertions(+), 16 deletions(-)
diff --git a/scikits/learn/benchmarks/bench_svm.py b/scikits/learn/benchmarks/bench_svm.py
index 638badf705..3df7a9881d 100644
--- a/scikits/learn/benchmarks/bench_svm.py
+++ b/scikits/learn/benchmarks/bench_svm.py
@@ -17,7 +17,6 @@ training set, classify a sample and plot the time taken as a function of the num
import numpy as np
import pylab as pl
from datetime import datetime
-import gc
# to store the results
scikit_results = []
@@ -33,18 +32,15 @@ def bench_scikit(X, Y, T):
import scikits.learn
from scikits.learn.svm import SVC
-
- gc.collect()
-
# start time
tstart = datetime.now()
- clf = scikits.learn.svm.SVC(kernel='linear');
+ clf = SVC(kernel='linear');
clf.fit(X, Y);
Z = clf.predict(T)
delta = (datetime.now() - tstart)
# stop time
- scikit_results.append(delta.microseconds/mu_second)
+ scikit_results.append(delta.seconds + delta.microseconds/mu_second)
def bench_svm(X, Y, T):
"""
@@ -57,8 +53,6 @@ def bench_svm(X, Y, T):
Y1 = Y.tolist()
T1 = T.tolist()
- gc.collect()
-
# start time
tstart = datetime.now()
problem = svm.svm_problem(Y1, X1)
@@ -68,8 +62,7 @@ def bench_svm(X, Y, T):
model.predict(i)
delta = (datetime.now() - tstart)
# stop time
-
- svm_results.append(delta.microseconds/mu_second)
+ svm_results.append(delta.seconds + delta.microseconds/mu_second)
def bench_pymvpa(X, Y, T):
"""
@@ -80,8 +73,6 @@ def bench_pymvpa(X, Y, T):
from mvpa.clfs import svm
data = Dataset.from_wizard(samples=X, targets=Y)
- gc.collect()
-
# start time
tstart = datetime.now()
clf = svm.SVM(kernel=svm.LinearSVMKernel())
@@ -89,7 +80,7 @@ def bench_pymvpa(X, Y, T):
Z = clf.predict(T)
delta = (datetime.now() - tstart)
# stop time
- mvpa_results.append(delta.microseconds/mu_second)
+ mvpa_results.append(delta.seconds + delta.microseconds/mu_second)
if __name__ == '__main__':
@@ -98,7 +89,7 @@ if __name__ == '__main__':
X = iris.data
Y = iris.target
- n = 100
+ n = 40
step = 100
for i in range(n):
print '============================================'
@@ -128,8 +119,8 @@ if __name__ == '__main__':
scikit_results = []
svm_results = []
mvpa_results = []
- n = 100
- step = 20
+ n = 40
+ step = 500
start_dim = 400
print '============================================'
--
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