[mlpack-git] master: Reference Github ticket numbers, not Trac. That was a huge amount of manual labor, wow. (3a364a7)
gitdub at big.cc.gt.atl.ga.us
gitdub at big.cc.gt.atl.ga.us
Mon Mar 30 11:34:02 EDT 2015
Repository : https://github.com/mlpack/mlpack
On branch : master
Link : https://github.com/mlpack/mlpack/compare/dac00b2b348b1bfe7051935ea899e673abf0b166...3a364a74c9496d57a5fbf1d99aa5fdce3214b681
>---------------------------------------------------------------
commit 3a364a74c9496d57a5fbf1d99aa5fdce3214b681
Author: Ryan Curtin <ryan at ratml.org>
Date: Mon Mar 30 11:33:38 2015 -0400
Reference Github ticket numbers, not Trac.
That was a huge amount of manual labor, wow.
>---------------------------------------------------------------
3a364a74c9496d57a5fbf1d99aa5fdce3214b681
HISTORY.md | 89 +++++++++++++++++++++++++++++++-------------------------------
1 file changed, 45 insertions(+), 44 deletions(-)
diff --git a/HISTORY.md b/HISTORY.md
index 26dfde5..e2d3d15 100644
--- a/HISTORY.md
+++ b/HISTORY.md
@@ -44,61 +44,62 @@
* Handle Newton method convergence better for
SparseCoding::OptimizeDictionary() and make maximum iterations a parameter.
- * Known bug: CosineTree construction may fail in some cases on i386 systems.
- (#376)
+ * Known bug: CosineTree construction may fail in some cases on i386 systems
+ (#358).
### mlpack 1.0.10
###### 2014-08-29
* Bugfix for NeighborSearch regression which caused very slow allknn/allkfn.
Speeds are now restored to approximately 1.0.8 speeds, with significant
- improvement for the cover tree.
+ improvement for the cover tree (#347).
* Detect dependencies correctly when ARMA_USE_WRAPPER is not being defined
(i.e., libarmadillo.so does not exist).
- * Bugfix for compilation under Visual Studio.
+ * Bugfix for compilation under Visual Studio (#348).
### mlpack 1.0.9
###### 2014-07-28
* GMM initialization is now safer and provides a working GMM when constructed
- with only the dimensionality and number of Gaussians (#314).
+ with only the dimensionality and number of Gaussians (#301).
- * Check for division by 0 in Forward-Backward Algorithm in HMMs (#314).
+ * Check for division by 0 in Forward-Backward Algorithm in HMMs (#301).
* Fix MaxVarianceNewCluster (used when re-initializing clusters for k-means)
- (#314).
+ (#301).
- * Fixed implementation of Viterbi algorithm in HMM::Predict() (#316).
+ * Fixed implementation of Viterbi algorithm in HMM::Predict() (#303).
- * Significant speedups for dual-tree algorithms using the cover tree (#243, #329) including a faster implementation of FastMKS.
+ * Significant speedups for dual-tree algorithms using the cover tree (#235,
+ #314) including a faster implementation of FastMKS.
- * Fix for LRSDP optimizer so that it compiles and can be used (#325).
+ * Fix for LRSDP optimizer so that it compiles and can be used (#312).
* CF (collaborative filtering) now expects users and items to be zero-indexed,
- not one-indexed (#324).
+ not one-indexed (#311).
* CF::GetRecommendations() API change: now requires the number of
recommendations as the first parameter. The number of users in the local
neighborhood should be specified with CF::NumUsersForSimilarity().
- * Removed incorrect PeriodicHRectBound (#30).
+ * Removed incorrect PeriodicHRectBound (#58).
* Refactor LRSDP into LRSDP class and standalone function to be optimized
- (#318).
+ (#305).
- * Fix for centering in kernel PCA (#355).
+ * Fix for centering in kernel PCA (#337).
* Added simulated annealing (SA) optimizer, contributed by Zhihao Lou.
* HMMs now support initial state probabilities; these can be set in the
- constructor, trained, or set manually with HMM::Initial() (#315).
+ constructor, trained, or set manually with HMM::Initial() (#302).
* Added Nyström method for kernel matrix approximation by Marcus Edel.
* Kernel PCA now supports using Nyström method for approximation.
* Ball trees now work with dual-tree algorithms, via the BallBound<> bound
- structure (#320); fixed by Yash Vadalia.
+ structure (#307); fixed by Yash Vadalia.
* The NMF class is now AMF<>, and supports far more types of factorizations,
by Sumedh Ghaisas.
@@ -113,19 +114,19 @@
### mlpack 1.0.8
###### 2014-01-06
- * Memory leak in NeighborSearch index-mapping code fixed (#310).
+ * Memory leak in NeighborSearch index-mapping code fixed (#298).
* GMMs can be trained using the existing model as a starting point by
- specifying an additional boolean parameter to GMM::Estimate() (#308).
+ specifying an additional boolean parameter to GMM::Estimate() (#296).
* Logistic regression implementation added in methods/logistic_regression (see
- also #305).
+ also #293).
* L-BFGS optimizer now returns its function via Function().
* Version information is now obtainable via mlpack::util::GetVersion() or the
__MLPACK_VERSION_MAJOR, __MLPACK_VERSION_MINOR, and __MLPACK_VERSION_PATCH
- macros (#309).
+ macros (#297).
* Fix typos in allkfn and allkrann output.
@@ -140,23 +141,23 @@
* Added collaborative filtering package (cf) that can provide recommendations
when given users and items.
- * Fix for correctness of Kernel PCA (kernel_pca) (#280).
+ * Fix for correctness of Kernel PCA (kernel_pca) (#270).
- * Speedups for PCA and Kernel PCA (#204).
+ * Speedups for PCA and Kernel PCA (#198).
- * Fix for correctness of Neighborhood Components Analysis (NCA) (#289).
+ * Fix for correctness of Neighborhood Components Analysis (NCA) (#279).
* Minor speedups for dual-tree algorithms.
- * Fix for Naive Bayes Classifier (nbc) (#279).
+ * Fix for Naive Bayes Classifier (nbc) (#269).
* Added a ridge regression option to LinearRegression (linear_regression)
- (#298).
+ (#286).
* Gaussian Mixture Models (gmm::GMM<>) now support arbitrary covariance matrix
- constraints (#294).
+ constraints (#283).
- * MVU (mvu) removed because it is known to not work (#189).
+ * MVU (mvu) removed because it is known to not work (#183).
* Minor updates and fixes for kernels (in mlpack::kernel).
@@ -166,7 +167,7 @@
### mlpack 1.0.5
###### 2013-05-01
- * Speedups of cover tree traversers (#243).
+ * Speedups of cover tree traversers (#235).
* Addition of rank-approximate nearest neighbors (RANN), found in
src/mlpack/methods/rann/.
@@ -193,13 +194,13 @@
* Force minimum Armadillo version to 2.4.2.
* Better output of class types to streams; a class with a ToString() method
- implemented can be sent to a stream with operator<<. See #164.
+ implemented can be sent to a stream with operator<<.
- * Change return type of GMM::Estimate() to double (#266).
+ * Change return type of GMM::Estimate() to double (#257).
* Style fixes for k-means and RADICAL.
- * Handle size_t support correctly with Armadillo 3.6.2 (#267).
+ * Handle size_t support correctly with Armadillo 3.6.2 (#258).
* Add locality-sensitive hashing (LSH), found in src/mlpack/methods/lsh/.
@@ -214,7 +215,7 @@
is not available.
* NCA (neighborhood components analysis) now support an arbitrary optimizer
- (#254), including stochastic gradient descent (#258).
+ (#245), including stochastic gradient descent (#249).
### mlpack 1.0.2
###### 2012-08-15
@@ -223,33 +224,33 @@
* Added non-negative matrix factorization, found in src/mlpack/methods/nmf/.
* Added experimental cover tree implementation, found in
- src/mlpack/core/tree/cover_tree/ (#156).
+ src/mlpack/core/tree/cover_tree/ (#157).
- * Better reporting of boost::program_options errors (#231).
+ * Better reporting of boost::program_options errors (#225).
- * Fix for timers on Windows (#218, #217).
+ * Fix for timers on Windows (#212, #211).
- * Fix for allknn and allkfn output (#210).
+ * Fix for allknn and allkfn output (#204).
- * Sparse coding dictionary initialization is now a template parameter (#226).
+ * Sparse coding dictionary initialization is now a template parameter (#220).
### mlpack 1.0.1
###### 2012-03-03
* Added kernel principal components analysis (kernel PCA), found in
- src/mlpack/methods/kernel_pca/ (#47).
+ src/mlpack/methods/kernel_pca/ (#74).
- * Fix for Lovasz-Theta AugLagrangian tests (#188).
+ * Fix for Lovasz-Theta AugLagrangian tests (#182).
- * Fixes for allknn output (#191, #192).
+ * Fixes for allknn output (#185, #186).
- * Added range search executable (#198).
+ * Added range search executable (#192).
* Adapted citations in documentation to BiBTeX; no citations in -h output
- (#201).
+ (#195).
- * Stop use of 'const char*' and prefer 'std::string' (#183).
+ * Stop use of 'const char*' and prefer 'std::string' (#176).
- * Support seeds for random numbers (#182).
+ * Support seeds for random numbers (#177).
### mlpack 1.0.0
###### 2011-12-17
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