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* [SPARK-1506][MLLIB] Documentation improvements for MLlib 1.0Xiangrui Meng2014-04-221-74/+0
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Preview: http://54.82.240.23:4000/mllib-guide.html Table of contents: * Basics * Data types * Summary statistics * Classification and regression * linear support vector machine (SVM) * logistic regression * linear linear squares, Lasso, and ridge regression * decision tree * naive Bayes * Collaborative Filtering * alternating least squares (ALS) * Clustering * k-means * Dimensionality reduction * singular value decomposition (SVD) * principal component analysis (PCA) * Optimization * stochastic gradient descent * limited-memory BFGS (L-BFGS) Author: Xiangrui Meng <meng@databricks.com> Closes #422 from mengxr/mllib-doc and squashes the following commits: 944e3a9 [Xiangrui Meng] merge master f9fda28 [Xiangrui Meng] minor 9474065 [Xiangrui Meng] add alpha to ALS examples 928e630 [Xiangrui Meng] initialization_mode -> initializationMode 5bbff49 [Xiangrui Meng] add imports to labeled point examples c17440d [Xiangrui Meng] fix python nb example 28f40dc [Xiangrui Meng] remove localhost:4000 369a4d3 [Xiangrui Meng] Merge branch 'master' into mllib-doc 7dc95cc [Xiangrui Meng] update linear methods 053ad8a [Xiangrui Meng] add links to go back to the main page abbbf7e [Xiangrui Meng] update ALS argument names 648283e [Xiangrui Meng] level down statistics 14e2287 [Xiangrui Meng] add sample libsvm data and use it in guide 8cd2441 [Xiangrui Meng] minor updates 186ab07 [Xiangrui Meng] update section names 6568d65 [Xiangrui Meng] update toc, level up lr and svm 162ee12 [Xiangrui Meng] rename section names 5c1e1b1 [Xiangrui Meng] minor 8aeaba1 [Xiangrui Meng] wrap long lines 6ce6a6f [Xiangrui Meng] add summary statistics to toc 5760045 [Xiangrui Meng] claim beta cc604bf [Xiangrui Meng] remove classification and regression 92747b3 [Xiangrui Meng] make section titles consistent e605dd6 [Xiangrui Meng] add LIBSVM loader f639674 [Xiangrui Meng] add python section to migration guide c82ffb4 [Xiangrui Meng] clean optimization 31660eb [Xiangrui Meng] update linear algebra and stat 0a40837 [Xiangrui Meng] first pass over linear methods 1fc8271 [Xiangrui Meng] update toc 906ed0a [Xiangrui Meng] add a python example to naive bayes 5f0a700 [Xiangrui Meng] update collaborative filtering 656d416 [Xiangrui Meng] update mllib-clustering 86e143a [Xiangrui Meng] remove data types section from main page 8d1a128 [Xiangrui Meng] move part of linear algebra to data types and add Java/Python examples d1b5cbf [Xiangrui Meng] merge master 72e4804 [Xiangrui Meng] one pass over tree guide 64f8995 [Xiangrui Meng] move decision tree guide to a separate file 9fca001 [Xiangrui Meng] add first version of linear algebra guide 53c9552 [Xiangrui Meng] update dependencies f316ec2 [Xiangrui Meng] add migration guide f399f6c [Xiangrui Meng] move linear-algebra to dimensionality-reduction 182460f [Xiangrui Meng] add guide for naive Bayes 137fd1d [Xiangrui Meng] re-organize toc a61e434 [Xiangrui Meng] update mllib's toc
* Principal Component AnalysisReza Zadeh2014-03-201-0/+13
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | # Principal Component Analysis Computes the top k principal component coefficients for the m-by-n data matrix X. Rows of X correspond to observations and columns correspond to variables. The coefficient matrix is n-by-k. Each column of the coefficients return matrix contains coefficients for one principal component, and the columns are in descending order of component variance. This function centers the data and uses the singular value decomposition (SVD) algorithm. ## Testing Tests included: * All principal components * Only top k principal components * Dense SVD tests * Dense/sparse matrix tests The results are tested against MATLAB's pca: http://www.mathworks.com/help/stats/pca.html ## Documentation Added to mllib-guide.md ## Example Usage Added to examples directory under SparkPCA.scala Author: Reza Zadeh <rizlar@gmail.com> Closes #88 from rezazadeh/sparkpca and squashes the following commits: e298700 [Reza Zadeh] reformat using IDE 3f23271 [Reza Zadeh] documentation and cleanup b025ab2 [Reza Zadeh] documentation e2667d4 [Reza Zadeh] assertMatrixApproximatelyEquals 3787bb4 [Reza Zadeh] stylin c6ecc1f [Reza Zadeh] docs aa2bbcb [Reza Zadeh] rename sparseToTallSkinnyDense 56975b0 [Reza Zadeh] docs 2df9bde [Reza Zadeh] docs update 8fb0015 [Reza Zadeh] rcond documentation dbf7797 [Reza Zadeh] correct argument number a9f1f62 [Reza Zadeh] documentation 4ce6caa [Reza Zadeh] style changes 9a56a02 [Reza Zadeh] use rcond relative to larget svalue 120f796 [Reza Zadeh] housekeeping 156ff78 [Reza Zadeh] string comprehension 2e1cf43 [Reza Zadeh] rename rcond ea223a6 [Reza Zadeh] many style changes f4002d7 [Reza Zadeh] more docs bd53c7a [Reza Zadeh] proper accumulator a8b5ecf [Reza Zadeh] Don't use for loops 0dc7980 [Reza Zadeh] filter zeros in sparse 6115610 [Reza Zadeh] More documentation 36d51e8 [Reza Zadeh] use JBLAS for UVS^-1 computation bc4599f [Reza Zadeh] configurable rcond 86f7515 [Reza Zadeh] compute per parition, use while 09726b3 [Reza Zadeh] more style changes 4195e69 [Reza Zadeh] private, accumulator 17002be [Reza Zadeh] style changes 4ba7471 [Reza Zadeh] style change f4982e6 [Reza Zadeh] Use dense matrix in example 2828d28 [Reza Zadeh] optimizations: normalize once, use inplace ops 72c9fa1 [Reza Zadeh] rename DenseMatrix to TallSkinnyDenseMatrix, lean f807be9 [Reza Zadeh] fix typo 2d7ccde [Reza Zadeh] Array interface for dense svd and pca cd290fa [Reza Zadeh] provide RDD[Array[Double]] support 398d123 [Reza Zadeh] style change 55abbfa [Reza Zadeh] docs fix ef29644 [Reza Zadeh] bad chnage undo 472566e [Reza Zadeh] all files from old pr 555168f [Reza Zadeh] initial files
* Merge pull request #552 from martinjaggi/master. Closes #552.Martin Jaggi2014-02-081-0/+61
tex formulas in the documentation using mathjax. and spliting the MLlib documentation by techniques see jira https://spark-project.atlassian.net/browse/MLLIB-19 and https://github.com/shivaram/spark/compare/mathjax Author: Martin Jaggi <m.jaggi@gmail.com> == Merge branch commits == commit 0364bfabbfc347f917216057a20c39b631842481 Author: Martin Jaggi <m.jaggi@gmail.com> Date: Fri Feb 7 03:19:38 2014 +0100 minor polishing, as suggested by @pwendell commit dcd2142c164b2f602bf472bb152ad55bae82d31a Author: Martin Jaggi <m.jaggi@gmail.com> Date: Thu Feb 6 18:04:26 2014 +0100 enabling inline latex formulas with $.$ same mathjax configuration as used in math.stackexchange.com sample usage in the linear algebra (SVD) documentation commit bbafafd2b497a5acaa03a140bb9de1fbb7d67ffa Author: Martin Jaggi <m.jaggi@gmail.com> Date: Thu Feb 6 17:31:29 2014 +0100 split MLlib documentation by techniques and linked from the main mllib-guide.md site commit d1c5212b93c67436543c2d8ddbbf610fdf0a26eb Author: Martin Jaggi <m.jaggi@gmail.com> Date: Thu Feb 6 16:59:43 2014 +0100 enable mathjax formula in the .md documentation files code by @shivaram commit d73948db0d9bc36296054e79fec5b1a657b4eab4 Author: Martin Jaggi <m.jaggi@gmail.com> Date: Thu Feb 6 16:57:23 2014 +0100 minor update on how to compile the documentation
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