Repository: spark Updated Branches: refs/heads/master 772e7c18f -> fdaf17f63
[SPARK-10068] [MLLIB] Adds links to MLlib types, algos, utilities listing mengxr jkbradley Author: Feynman Liang <[email protected]> Closes #8255 from feynmanliang/SPARK-10068. Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/fdaf17f6 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/fdaf17f6 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/fdaf17f6 Branch: refs/heads/master Commit: fdaf17f63f751f02623414fbc7d0a2f545364050 Parents: 772e7c1 Author: Feynman Liang <[email protected]> Authored: Mon Aug 17 15:42:14 2015 -0700 Committer: Xiangrui Meng <[email protected]> Committed: Mon Aug 17 15:42:14 2015 -0700 ---------------------------------------------------------------------- docs/mllib-guide.md | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/fdaf17f6/docs/mllib-guide.md ---------------------------------------------------------------------- diff --git a/docs/mllib-guide.md b/docs/mllib-guide.md index eea864e..e8000ff 100644 --- a/docs/mllib-guide.md +++ b/docs/mllib-guide.md @@ -23,19 +23,19 @@ This lists functionality included in `spark.mllib`, the main MLlib API. * [Data types](mllib-data-types.html) * [Basic statistics](mllib-statistics.html) - * summary statistics - * correlations - * stratified sampling - * hypothesis testing - * random data generation + * [summary statistics](mllib-statistics.html#summary-statistics) + * [correlations](mllib-statistics.html#correlations) + * [stratified sampling](mllib-statistics.html#stratified-sampling) + * [hypothesis testing](mllib-statistics.html#hypothesis-testing) + * [random data generation](mllib-statistics.html#random-data-generation) * [Classification and regression](mllib-classification-regression.html) * [linear models (SVMs, logistic regression, linear regression)](mllib-linear-methods.html) * [naive Bayes](mllib-naive-bayes.html) * [decision trees](mllib-decision-tree.html) - * [ensembles of trees](mllib-ensembles.html) (Random Forests and Gradient-Boosted Trees) + * [ensembles of trees (Random Forests and Gradient-Boosted Trees)](mllib-ensembles.html) * [isotonic regression](mllib-isotonic-regression.html) * [Collaborative filtering](mllib-collaborative-filtering.html) - * alternating least squares (ALS) + * [alternating least squares (ALS)](mllib-collaborative-filtering.html#collaborative-filtering) * [Clustering](mllib-clustering.html) * [k-means](mllib-clustering.html#k-means) * [Gaussian mixture](mllib-clustering.html#gaussian-mixture) @@ -43,19 +43,19 @@ This lists functionality included in `spark.mllib`, the main MLlib API. * [latent Dirichlet allocation (LDA)](mllib-clustering.html#latent-dirichlet-allocation-lda) * [streaming k-means](mllib-clustering.html#streaming-k-means) * [Dimensionality reduction](mllib-dimensionality-reduction.html) - * singular value decomposition (SVD) - * principal component analysis (PCA) + * [singular value decomposition (SVD)](mllib-dimensionality-reduction.html#singular-value-decomposition-svd) + * [principal component analysis (PCA)](mllib-dimensionality-reduction.html#principal-component-analysis-pca) * [Feature extraction and transformation](mllib-feature-extraction.html) * [Frequent pattern mining](mllib-frequent-pattern-mining.html) - * FP-growth + * [FP-growth](mllib-frequent-pattern-mining.html#fp-growth) * [Evaluation Metrics](mllib-evaluation-metrics.html) * [Optimization (developer)](mllib-optimization.html) - * stochastic gradient descent - * limited-memory BFGS (L-BFGS) + * [stochastic gradient descent](mllib-optimization.html#stochastic-gradient-descent-sgd) + * [limited-memory BFGS (L-BFGS)](mllib-optimization.html#limited-memory-bfgs-l-bfgs) * [PMML model export](mllib-pmml-model-export.html) MLlib is under active development. -The APIs marked `Experimental`/`DeveloperApi` may change in future releases, +The APIs marked `Experimental`/`DeveloperApi` may change in future releases, and the migration guide below will explain all changes between releases. # spark.ml: high-level APIs for ML pipelines --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
