[mlpack] 147/149: Tests for Non-linearly separable dataset fixed.
Barak A. Pearlmutter
barak+git at pearlmutter.net
Sat May 2 09:11:19 UTC 2015
This is an automated email from the git hooks/post-receive script.
bap pushed a commit to branch svn-trunk
in repository mlpack.
commit 38f458adf0e0e04387e87007975cdee8c87e6dba
Author: saxena.udit <saxena.udit at 9d5b8971-822b-0410-80eb-d18c1038ef23>
Date: Wed Jan 7 15:14:14 2015 +0000
Tests for Non-linearly separable dataset fixed.
git-svn-id: http://svn.cc.gatech.edu/fastlab/mlpack/trunk@17505 9d5b8971-822b-0410-80eb-d18c1038ef23
---
src/mlpack/tests/adaboost_test.cpp | 108 +-
src/mlpack/tests/data/test_labels_nonlinsep.txt | 600 +++++++++++
src/mlpack/tests/data/test_nonlinsep.txt | 600 +++++++++++
src/mlpack/tests/data/train_labels_nonlinsep.txt | 1200 ++++++++++++++++++++++
src/mlpack/tests/data/train_nonlinsep.txt | 1200 ++++++++++++++++++++++
src/mlpack/tests/data/vc2.txt | 517 ++++------
src/mlpack/tests/data/vc2_labels.txt | 105 +-
src/mlpack/tests/data/vc2_test.txt | 67 ++
src/mlpack/tests/data/vc2_test_labels.txt | 67 ++
9 files changed, 4033 insertions(+), 431 deletions(-)
diff --git a/src/mlpack/tests/adaboost_test.cpp b/src/mlpack/tests/adaboost_test.cpp
index 6edea4a..8c526d7 100644
--- a/src/mlpack/tests/adaboost_test.cpp
+++ b/src/mlpack/tests/adaboost_test.cpp
@@ -202,14 +202,20 @@ BOOST_AUTO_TEST_CASE(HammingLossBoundNonLinearSepData)
{
arma::mat inputData;
- if (!data::Load("nonlinsepdata.txt", inputData))
- BOOST_FAIL("Cannot load test dataset nonlinsepdata.txt!");
+ if (!data::Load("train_nonlinsep.txt", inputData))
+ BOOST_FAIL("Cannot load test dataset train_nonlinsep.txt!");
arma::Mat<size_t> labels;
+<<<<<<< HEAD
if (!data::Load("nonlinsepdata_labels.txt", labels))
BOOST_FAIL("Cannot load labels for nonlinsepdata_labels.txt");
+=======
+ if (!data::Load("train_labels_nonlinsep.txt",labels))
+ BOOST_FAIL("Cannot load labels for train_labels_nonlinsep.txt");
+
+>>>>>>> Tests for Non-linearly separable dataset fixed.
// no need to map the labels here
// Define your own weak learner, perceptron in this case.
@@ -243,14 +249,20 @@ BOOST_AUTO_TEST_CASE(WeakLearnerErrorNonLinearSepData)
{
arma::mat inputData;
- if (!data::Load("nonlinsepdata.txt", inputData))
- BOOST_FAIL("Cannot load test dataset nonlinsepdata.txt!");
+ if (!data::Load("train_nonlinsep.txt", inputData))
+ BOOST_FAIL("Cannot load test dataset train_nonlinsep.txt!");
arma::Mat<size_t> labels;
+<<<<<<< HEAD
if (!data::Load("nonlinsepdata_labels.txt",labels))
BOOST_FAIL("Cannot load labels for nonlinsepdata_labels.txt");
+=======
+ if (!data::Load("train_labels_nonlinsep.txt",labels))
+ BOOST_FAIL("Cannot load labels for train_labels_nonlinsep.txt");
+
+>>>>>>> Tests for Non-linearly separable dataset fixed.
// no need to map the labels here
// Define your own weak learner, perceptron in this case.
@@ -484,14 +496,20 @@ BOOST_AUTO_TEST_CASE(HammingLossBoundNonLinearSepData_DS)
{
arma::mat inputData;
- if (!data::Load("nonlinsepdata.txt", inputData))
- BOOST_FAIL("Cannot load test dataset nonlinsepdata.txt!");
+ if (!data::Load("train_nonlinsep.txt", inputData))
+ BOOST_FAIL("Cannot load test dataset train_nonlinsep.txt!");
arma::Mat<size_t> labels;
+<<<<<<< HEAD
if (!data::Load("nonlinsepdata_labels.txt",labels))
BOOST_FAIL("Cannot load labels for nonlinsepdata_labels.txt");
+=======
+ if (!data::Load("train_labels_nonlinsep.txt",labels))
+ BOOST_FAIL("Cannot load labels for train_labels_nonlinsep.txt");
+
+>>>>>>> Tests for Non-linearly separable dataset fixed.
// no need to map the labels here
// Define your own weak learner, Decision Stump in this case.
@@ -530,14 +548,20 @@ BOOST_AUTO_TEST_CASE(WeakLearnerErrorNonLinearSepData_DS)
{
arma::mat inputData;
- if (!data::Load("nonlinsepdata.txt", inputData))
- BOOST_FAIL("Cannot load test dataset nonlinsepdata.txt!");
+ if (!data::Load("train_nonlinsep.txt", inputData))
+ BOOST_FAIL("Cannot load test dataset train_nonlinsep.txt!");
arma::Mat<size_t> labels;
+<<<<<<< HEAD
if (!data::Load("nonlinsepdata_labels.txt",labels))
BOOST_FAIL("Cannot load labels for nonlinsepdata_labels.txt");
+=======
+ if (!data::Load("train_labels_nonlinsep.txt",labels))
+ BOOST_FAIL("Cannot load labels for train_labels_nonlinsep.txt");
+
+>>>>>>> Tests for Non-linearly separable dataset fixed.
// no need to map the labels here
// Define your own weak learner, Decision Stump in this case.
@@ -593,28 +617,57 @@ BOOST_AUTO_TEST_CASE(ClassifyTest_VERTEBRALCOL)
// Define your own weak learner, perceptron in this case.
// Run the perceptron for perceptron_iter iterations.
+<<<<<<< HEAD
int perceptron_iter = 5000;
+=======
+ int perceptron_iter = 1000;
+
+ arma::mat testData;
+
+ if (!data::Load("vc2_test.txt", testData))
+ BOOST_FAIL("Cannot load test dataset vc2_test.txt!");
+
+ arma::Mat<size_t> trueTestLabels;
+
+ if (!data::Load("vc2_test_labels.txt",trueTestLabels))
+ BOOST_FAIL("Cannot load labels for vc2_test_labels.txt");
+>>>>>>> Tests for Non-linearly separable dataset fixed.
arma::Row<size_t> perceptronPrediction(labels.n_cols);
perceptron::Perceptron<> p(inputData, labels.row(0), perceptron_iter);
p.Classify(inputData, perceptronPrediction);
// Define parameters for the adaboost
+<<<<<<< HEAD
int iterations = 250;
double tolerance = 1e-10;
AdaBoost<> a(inputData, labels.row(0), iterations, tolerance, p);
arma::Row<size_t> predictedLabels(inputData.n_cols);
a.Classify(inputData, predictedLabels);
+=======
+ int iterations = 100;
+ double tolerance = 1e-10;
+ AdaBoost<> a(inputData, labels.row(0), iterations, tolerance, p);
+
+ arma::Row<size_t> predictedLabels(testData.n_cols);
+ a.Classify(testData, predictedLabels);
+>>>>>>> Tests for Non-linearly separable dataset fixed.
int localError = 0;
-
- for (size_t i = 0; i < labels.n_cols; i++)
- if(labels(i) != predictedLabels(i))
+
+ for (size_t i = 0; i < trueTestLabels.n_cols; i++)
+ if(trueTestLabels(i) != predictedLabels(i))
localError++;
+<<<<<<< HEAD
double lError = (double) localError / labels.n_cols;
BOOST_REQUIRE_LT(lError, 0.30);
+=======
+ double lError = (double) localError / trueTestLabels.n_cols;
+
+ BOOST_REQUIRE(lError <= 0.30);
+>>>>>>> Tests for Non-linearly separable dataset fixed.
}
/**
@@ -626,14 +679,20 @@ BOOST_AUTO_TEST_CASE(ClassifyTest_NONLINSEP)
{
arma::mat inputData;
- if (!data::Load("nonlinsepdata.txt", inputData))
- BOOST_FAIL("Cannot load test dataset nonlinsepdata.txt!");
+ if (!data::Load("train_nonlinsep.txt", inputData))
+ BOOST_FAIL("Cannot load test dataset train_nonlinsep.txt!");
arma::Mat<size_t> labels;
+<<<<<<< HEAD
if (!data::Load("nonlinsepdata_labels.txt",labels))
BOOST_FAIL("Cannot load labels for nonlinsepdata_labels.txt");
+=======
+ if (!data::Load("train_labels_nonlinsep.txt",labels))
+ BOOST_FAIL("Cannot load labels for train_labels_nonlinsep.txt");
+
+>>>>>>> Tests for Non-linearly separable dataset fixed.
// no need to map the labels here
// Define your own weak learner, perceptron in this case.
@@ -642,6 +701,16 @@ BOOST_AUTO_TEST_CASE(ClassifyTest_NONLINSEP)
const size_t numClasses = 2;
const size_t inpBucketSize = 3;
+ arma::mat testData;
+
+ if (!data::Load("test_nonlinsep.txt", testData))
+ BOOST_FAIL("Cannot load test dataset test_nonlinsep.txt!");
+
+ arma::Mat<size_t> trueTestLabels;
+
+ if (!data::Load("test_labels_nonlinsep.txt",trueTestLabels))
+ BOOST_FAIL("Cannot load labels for test_labels_nonlinsep.txt");
+
arma::Row<size_t> dsPrediction(labels.n_cols);
decision_stump::DecisionStump<> ds(inputData, labels.row(0),
@@ -653,15 +722,20 @@ BOOST_AUTO_TEST_CASE(ClassifyTest_NONLINSEP)
AdaBoost<arma::mat, mlpack::decision_stump::DecisionStump<> > a(
inputData, labels.row(0), iterations, tolerance, ds);
- arma::Row<size_t> predictedLabels(inputData.n_cols);
- a.Classify(inputData, predictedLabels);
+ arma::Row<size_t> predictedLabels(testData.n_cols);
+ a.Classify(testData, predictedLabels);
int localError = 0;
- for (size_t i = 0; i < labels.n_cols; i++)
- if(labels(i) != predictedLabels(i))
+ for (size_t i = 0; i < trueTestLabels.n_cols; i++)
+ if(trueTestLabels(i) != predictedLabels(i))
localError++;
+<<<<<<< HEAD
double lError = (double) localError / labels.n_cols;
+=======
+ double lError = (double) localError / trueTestLabels.n_cols;
+
+>>>>>>> Tests for Non-linearly separable dataset fixed.
BOOST_REQUIRE(lError <= 0.30);
}
diff --git a/src/mlpack/tests/data/test_labels_nonlinsep.txt b/src/mlpack/tests/data/test_labels_nonlinsep.txt
new file mode 100644
index 0000000..1007b51
--- /dev/null
+++ b/src/mlpack/tests/data/test_labels_nonlinsep.txt
@@ -0,0 +1,600 @@
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diff --git a/src/mlpack/tests/data/test_nonlinsep.txt b/src/mlpack/tests/data/test_nonlinsep.txt
new file mode 100644
index 0000000..bcf9878
--- /dev/null
+++ b/src/mlpack/tests/data/test_nonlinsep.txt
@@ -0,0 +1,600 @@
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diff --git a/src/mlpack/tests/data/train_labels_nonlinsep.txt b/src/mlpack/tests/data/train_labels_nonlinsep.txt
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index 0000000..177a811
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new file mode 100644
index 0000000..c966f0d
--- /dev/null
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diff --git a/src/mlpack/tests/data/vc2.txt b/src/mlpack/tests/data/vc2.txt
index a181337..5f95af7 100644
--- a/src/mlpack/tests/data/vc2.txt
+++ b/src/mlpack/tests/data/vc2.txt
@@ -1,310 +1,207 @@
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+54.14,11.94,43,42.21,122.21,0.15
+74.98,14.92,53.73,60.05,105.65,1.59
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+67.29,16.72,51,50.57,137.59,4.96
+51.33,13.63,33.26,37.69,131.31,1.79
\ No newline at end of file
diff --git a/src/mlpack/tests/data/vc2_labels.txt b/src/mlpack/tests/data/vc2_labels.txt
index 7601f70..adbf7aa 100644
--- a/src/mlpack/tests/data/vc2_labels.txt
+++ b/src/mlpack/tests/data/vc2_labels.txt
@@ -38,58 +38,6 @@
0
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@@ -190,58 +138,6 @@
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@@ -308,3 +204,4 @@
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\ No newline at end of file
diff --git a/src/mlpack/tests/data/vc2_test.txt b/src/mlpack/tests/data/vc2_test.txt
new file mode 100644
index 0000000..ea8ad28
--- /dev/null
+++ b/src/mlpack/tests/data/vc2_test.txt
@@ -0,0 +1,67 @@
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+49 13.11 51.87 35.88 126.4 0.54
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+46.43 6.62 48.1 39.81 130.35 2.45
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+82.91 29.89 58.25 53.01 110.71 6.08
\ No newline at end of file
diff --git a/src/mlpack/tests/data/vc2_test_labels.txt b/src/mlpack/tests/data/vc2_test_labels.txt
new file mode 100644
index 0000000..f82f3ce
--- /dev/null
+++ b/src/mlpack/tests/data/vc2_test_labels.txt
@@ -0,0 +1,67 @@
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\ No newline at end of file
--
Alioth's /usr/local/bin/git-commit-notice on /srv/git.debian.org/git/debian-science/packages/mlpack.git
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