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Commits on Jan 11, 2013

• Merge pull request #1542 from jaquesgrobler/warn06

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Commits on Jan 10, 2013

• changed config.py

  jaquesgrobler

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Commits on Jan 8, 2013

• warnings for old version(0.6)

  jaquesgrobler

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Commits on Feb 24, 2011

• BUG: Fix doctests.

  GaelVaroquaux

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• DOC: typos + change name of LDA vs QDA examples

  

  VirgileFritsch

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  GaelVaroquaux

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• DOC: Be explicite about what criteria are used in GridSearchCV

  GaelVaroquaux

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• fix a bug of affinity propagtion, which is caused by incorrect index

  

  mxf

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  GaelVaroquaux

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• FIX : fix pb in affinity propagation when S dtype is not float

  

  agramfort

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  GaelVaroquaux

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• MISC: Make sure that nosetests doesn't try to run the bench

  GaelVaroquaux

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• DOC: updating doc for StratifiedKFold + ellipsis in svm support

  

  agramfort

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  GaelVaroquaux

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• DOC: document better similarity matrix of spectral clustering

  GaelVaroquaux

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• DOC: Add scipy in the install dependencies.

  GaelVaroquaux

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• Little doc improvements to the grid_search.

  

  Fabian Pedregosa

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  GaelVaroquaux

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• BUG: Fix doctests.

  GaelVaroquaux

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• ENH: Tweaks for k_means performance.

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  GaelVaroquaux

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• ENH: KMeans tolerance parameter renamed tol (as in coordinate descent) and made public

  

  ogrisel

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  GaelVaroquaux

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• s/euclidian_distances/euclidean_distances

  

  agramfort

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• style conventions for variable names

  

  ogrisel

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• DOC: Typo in docstring

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• more PEP8

  

  ogrisel

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• added optional args to euclidean_distances and removed k_means_.all_pairs_l2_distances_squared

  

  jaberg

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  GaelVaroquaux

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• k-means - added copy_x parameter to worker routine and BaseEstimator, allowing optional in-place operation

  

  jaberg

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• k-means - added "verbose" parameter to KMeans class

  

  jaberg

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• k-means - added optional parameters "precompute_distances" and "x_squared_norms"

  

  jaberg

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• k-means - fixed misleading typo in error message

  

  jaberg

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• k-means - added support for a callable "init" argument instead of copying all the k_init parameters as optional arguments - invite user to use a lambda or something

  

  jaberg

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• k-means - modified k_init to use pre-computed distances for faster, clearer code

  

  jaberg

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  GaelVaroquaux

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• k-means adding all_paris_l2_distance_squared function

  

  jaberg

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• adding James Bergstra as author of k_means_ file

  

  jaberg

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• added faster distance-computation algorithm to k-means _e_step

  

  jaberg

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• k-means - added verbose-level print after initialization

  

  jaberg

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• Centering data for k-means before fitting

  

  jaberg

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• k_means_ - added optional rng parameter to work routines

  

  jaberg

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Commits on Feb 23, 2011

• Backport some performance improvements from master.

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  Fabian Pedregosa

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• DOC: Add the logistic regression to linear models doc

  

  GaelVaroquaux

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  Fabian Pedregosa

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