[mlpack-git] master: fixing headings (6041afc)
gitdub at big.cc.gt.atl.ga.us
gitdub at big.cc.gt.atl.ga.us
Thu Mar 5 22:08:03 EST 2015
Repository : https://github.com/mlpack/mlpack
On branch : master
Link : https://github.com/mlpack/mlpack/compare/904762495c039e345beba14c1142fd719b3bd50e...f94823c800ad6f7266995c700b1b630d5ffdcf40
>---------------------------------------------------------------
commit 6041afc21dd913811edf55553d537df3bf296fe7
Author: Ajinkya Kale <kaleajinkya at gmail.com>
Date: Sun Dec 28 13:11:08 2014 -0800
fixing headings
>---------------------------------------------------------------
6041afc21dd913811edf55553d537df3bf296fe7
HISTORY.md | 54 +++++++++++++++++++++++++++---------------------------
1 file changed, 27 insertions(+), 27 deletions(-)
diff --git a/HISTORY.md b/HISTORY.md
index 2c79513..aacdb3f 100644
--- a/HISTORY.md
+++ b/HISTORY.md
@@ -1,5 +1,5 @@
-????-??-?? mlpack 1.1.0
-
+### mlpack 1.1.0
+###### ????-??-??
* Removed overclustering support from k-means because it is not well-tested,
may be buggy, and is (I think) unused. If this was support you were using,
open a bug or get in touch with us; it would not be hard for us to
@@ -11,8 +11,8 @@
Pelleg-Moore's algorithm, and the DTNN (dual-tree nearest neighbor)
algorithm.
-2014-12-11 mlpack 1.0.11
-
+### mlpack 1.0.11
+###### 2014-12-11
* Proper handling of dimension calculation in PCA.
* Load parameter vectors properly for LinearRegression models.
@@ -37,8 +37,8 @@
* Known bug: CosineTree construction may fail in some cases on i386 systems.
(#376)
-2014-08-29 mlpack 1.0.10
-
+### 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.
@@ -48,8 +48,8 @@
* Bugfix for compilation under Visual Studio.
-2014-07-28 mlpack 1.0.9
-
+### 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).
@@ -60,8 +60,7 @@
* Fixed implementation of Viterbi algorithm in HMM::Predict() (#316).
- * 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 (#243, #329) including a faster implementation of FastMKS.
* Fix for LRSDP optimizer so that it compiles and can be used (#325).
@@ -102,8 +101,8 @@
* Sparse autoencoder added by Siddharth Agrawal.
-2014-01-06 mlpack 1.0.8
-
+### mlpack 1.0.8
+###### 2014-01-06
* Memory leak in NeighborSearch index-mapping code fixed (#310).
* GMMs can be trained using the existing model as a starting point by
@@ -120,8 +119,8 @@
* Fix typos in allkfn and allkrann output.
-2013-10-04 mlpack 1.0.7
-
+### mlpack 1.0.7
+###### 2013-10-04
* Cover tree support for range search (range_search), rank-approximate nearest
neighbors (allkrann), minimum spanning tree calculation (emst), and FastMKS
(fastmks).
@@ -151,12 +150,12 @@
* Minor updates and fixes for kernels (in mlpack::kernel).
-2013-06-13 mlpack 1.0.6
-
+### mlpack 1.0.6
+###### 2013-06-13
* Minor bugfix so that FastMKS gets built.
-2013-05-01 mlpack 1.0.5
-
+### mlpack 1.0.5
+###### 2013-05-01
* Speedups of cover tree traversers (#243).
* Addition of rank-approximate nearest neighbors (RANN), found in
@@ -179,8 +178,8 @@
* Fix for k-furthest-neighbor-search.
-2013-02-08 mlpack 1.0.4
-
+### mlpack 1.0.4
+###### 2013-02-08
* Force minimum Armadillo version to 2.4.2.
* Better output of class types to streams; a class with a ToString() method
@@ -197,7 +196,8 @@
* Better tests for SGD (stochastic gradient descent) and NCA (neighborhood
components analysis).
-2012-09-16 mlpack 1.0.3
+### mlpack 1.0.3
+###### 2012-09-16
* Remove internal sparse matrix support because Armadillo 3.4.0 now includes
it. When using Armadillo versions older than 3.4.0, sparse matrix support
@@ -206,8 +206,8 @@
* NCA (neighborhood components analysis) now support an arbitrary optimizer
(#254), including stochastic gradient descent (#258).
-2012-08-15 mlpack 1.0.2
-
+### mlpack 1.0.2
+###### 2012-08-15
* Added density estimation trees, found in src/mlpack/methods/det/.
* Added non-negative matrix factorization, found in src/mlpack/methods/nmf/.
@@ -223,8 +223,8 @@
* Sparse coding dictionary initialization is now a template parameter (#226).
-2012-03-03 mlpack 1.0.1
-
+### mlpack 1.0.1
+###### 2012-03-03
* Added kernel principal components analysis (kernel PCA), found in
src/mlpack/methods/kernel_pca/ (#47).
@@ -241,8 +241,8 @@
* Support seeds for random numbers (#182).
-2011-12-17 mlpack 1.0.0
-
+### mlpack 1.0.0
+###### 2011-12-17
* Initial release. See any resolved tickets numbered less than #196 or
execute this query:
http://www.mlpack.org/trac/query?status=closed&milestone=mlpack+1.0.0
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