[mlpack] 02/03: refresh quilt patches

[Barak A. Pearlmutter]

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bap pushed a commit to branch master
in repository mlpack.

commit 979e0e73625ef24fe6887ef0721a7754781a9e6a
Author: Barak A. Pearlmutter <barak+git at cs.nuim.ie>
Date:   Tue Dec 16 10:19:51 2014 +0000

    refresh quilt patches
---
 debian/patches/spelling.patch | 34 +++++++++++++++++-----------------
 1 file changed, 17 insertions(+), 17 deletions(-)

diff --git a/debian/patches/spelling.patch b/debian/patches/spelling.patch
index 4f021aa..b590213 100644
--- a/debian/patches/spelling.patch
+++ b/debian/patches/spelling.patch
@@ -13,7 +13,7 @@ Subject: spelling
  7 files changed, 9 insertions(+), 9 deletions(-)
 
 diff --git a/src/mlpack/core/kernels/example_kernel.hpp b/src/mlpack/core/kernels/example_kernel.hpp
-index 270d7eb..40cc135 100644
+index fb4820f..93a5a13 100644
 --- a/src/mlpack/core/kernels/example_kernel.hpp
 +++ b/src/mlpack/core/kernels/example_kernel.hpp
 @@ -119,7 +119,7 @@ class ExampleKernel
@@ -26,33 +26,33 @@ index 270d7eb..40cc135 100644
    std::string ToString() const
    {
 diff --git a/src/mlpack/core/tree/cosine_tree/cosine_tree.cpp b/src/mlpack/core/tree/cosine_tree/cosine_tree.cpp
-index cde8c60..ae3288a 100644
+index 3752017..c45e023 100644
 --- a/src/mlpack/core/tree/cosine_tree/cosine_tree.cpp
 +++ b/src/mlpack/core/tree/cosine_tree/cosine_tree.cpp
-@@ -331,7 +331,7 @@ void CosineTree::ColumnSamplesLS(std::vector<size_t>& sampledIndices,
+@@ -342,7 +342,7 @@ void CosineTree::ColumnSamplesLS(std::vector<size_t>& sampledIndices,
      cDistribution(i+1) = cDistribution(i) + l2NormsSquared(i) / frobNormSquared;
    }
-   
+ 
 -  // Intialize sizes of the 'sampledIndices' and 'probabilities' vectors.
 +  // Initialize sizes of the 'sampledIndices' and 'probabilities' vectors.
    sampledIndices.resize(numSamples);
    probabilities.zeros(numSamples);
-   
+ 
 diff --git a/src/mlpack/methods/amf/init_rules/random_acol_init.hpp b/src/mlpack/methods/amf/init_rules/random_acol_init.hpp
-index fef05a7..6f4c213 100644
+index 4dbb739..35fdb9b 100644
 --- a/src/mlpack/methods/amf/init_rules/random_acol_init.hpp
 +++ b/src/mlpack/methods/amf/init_rules/random_acol_init.hpp
 @@ -2,7 +2,7 @@
   * @file random_acol_init.hpp
   * @author Mohan Rajendran
   *
-- * Intialization rule for Non-Negative Matrix Factorization. This simple
-+ * Initialization rule for Non-Negative Matrix Factorization. This simple
-  * initialization is performed by the random Acol initialization introduced in
-  * the paper 'Algorithms, Initializations and Convergence' by Langville et al.
-  * This method sets each of the columns of W by averaging p randomly chosen
+- * Intialization rule for Alternating Matrix Factorization. 
++ * Initialization rule for Alternating Matrix Factorization.
+  *
+  * This file is part of MLPACK 1.0.11.
+  *
 diff --git a/src/mlpack/methods/amf/init_rules/random_init.hpp b/src/mlpack/methods/amf/init_rules/random_init.hpp
-index 0e4b89a..dcd868a 100644
+index 84bca5b..b3f34ed 100644
 --- a/src/mlpack/methods/amf/init_rules/random_init.hpp
 +++ b/src/mlpack/methods/amf/init_rules/random_init.hpp
 @@ -2,7 +2,7 @@
@@ -63,7 +63,7 @@ index 0e4b89a..dcd868a 100644
 + * Initialization rule for Non-Negative Matrix Factorization (NMF). This simple
   * initialization is performed by assigning a random matrix to W and H.
   *
-  * This file is part of MLPACK 1.0.10.
+  * This file is part of MLPACK 1.0.11.
 @@ -44,7 +44,7 @@ class RandomInitialization
      size_t n = V.n_rows;
      size_t m = V.n_cols;
@@ -74,7 +74,7 @@ index 0e4b89a..dcd868a 100644
      H.randu(r, m);
    }
 diff --git a/src/mlpack/methods/lsh/lsh_search.hpp b/src/mlpack/methods/lsh/lsh_search.hpp
-index 469503d..8d50fd5 100644
+index 7beb85f..310517c 100644
 --- a/src/mlpack/methods/lsh/lsh_search.hpp
 +++ b/src/mlpack/methods/lsh/lsh_search.hpp
 @@ -152,8 +152,8 @@ class LSHSearch
@@ -89,7 +89,7 @@ index 469503d..8d50fd5 100644
    void BuildHash();
  
 diff --git a/src/mlpack/methods/sparse_autoencoder/sparse_autoencoder_function.hpp b/src/mlpack/methods/sparse_autoencoder/sparse_autoencoder_function.hpp
-index 6812729..44a730b 100644
+index 28bee11..7fac450 100644
 --- a/src/mlpack/methods/sparse_autoencoder/sparse_autoencoder_function.hpp
 +++ b/src/mlpack/methods/sparse_autoencoder/sparse_autoencoder_function.hpp
 @@ -157,7 +157,7 @@ class SparseAutoencoderFunction
@@ -102,7 +102,7 @@ index 6812729..44a730b 100644
    //! Size of the visible layer.
    size_t visibleSize;
 diff --git a/src/mlpack/tests/cosine_tree_test.cpp b/src/mlpack/tests/cosine_tree_test.cpp
-index 1e410f1..510a2c0 100644
+index 64167e3..340689c 100644
 --- a/src/mlpack/tests/cosine_tree_test.cpp
 +++ b/src/mlpack/tests/cosine_tree_test.cpp
 @@ -63,7 +63,7 @@ BOOST_AUTO_TEST_CASE(CosineTreeNoSplit)
@@ -113,4 +113,4 @@ index 1e410f1..510a2c0 100644
 +  // Initialize constants required for the test.
    const size_t numRows = 500;
    const size_t numCols = 1000;
-   
+ 

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