Repository: spark Updated Branches: refs/heads/master 06dda1d58 -> be846db48
[SPARK-20506][DOCS] Add HTML links to highlight list in MLlib guide for 2.2 Quick follow up to #17996 - forgot to add the HTML links to the relevant sections of the guide in the highlights list. ## How was this patch tested? Built docs locally and tested links. Author: Nick Pentreath <ni...@za.ibm.com> Closes #18043 from MLnick/SPARK-20506-2.2-migration-guide-2. Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/be846db4 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/be846db4 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/be846db4 Branch: refs/heads/master Commit: be846db48b226de2b0dfb5f87d059eda15ecf7cd Parents: 06dda1d Author: Nick Pentreath <ni...@za.ibm.com> Authored: Mon May 22 12:29:29 2017 +0200 Committer: Nick Pentreath <ni...@za.ibm.com> Committed: Mon May 22 12:29:29 2017 +0200 ---------------------------------------------------------------------- docs/ml-guide.md | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/be846db4/docs/ml-guide.md ---------------------------------------------------------------------- diff --git a/docs/ml-guide.md b/docs/ml-guide.md index 362e883..fb46213 100644 --- a/docs/ml-guide.md +++ b/docs/ml-guide.md @@ -71,21 +71,24 @@ To use MLlib in Python, you will need [NumPy](http://www.numpy.org) version 1.4 The list below highlights some of the new features and enhancements added to MLlib in the `2.2` release of Spark: -* `ALS` methods for _top-k_ recommendations for all users or items, matching the functionality - in `mllib` ([SPARK-19535](https://issues.apache.org/jira/browse/SPARK-19535)). Performance - was also improved for both `ml` and `mllib` +* [`ALS`](ml-collaborative-filtering.html) methods for _top-k_ recommendations for all + users or items, matching the functionality in `mllib` + ([SPARK-19535](https://issues.apache.org/jira/browse/SPARK-19535)). + Performance was also improved for both `ml` and `mllib` ([SPARK-11968](https://issues.apache.org/jira/browse/SPARK-11968) and [SPARK-20587](https://issues.apache.org/jira/browse/SPARK-20587)) -* `Correlation` and `ChiSquareTest` stats functions for `DataFrames` +* [`Correlation`](ml-statistics.html#correlation) and + [`ChiSquareTest`](ml-statistics.html#hypothesis-testing) stats functions for `DataFrames` ([SPARK-19636](https://issues.apache.org/jira/browse/SPARK-19636) and [SPARK-19635](https://issues.apache.org/jira/browse/SPARK-19635)) -* `FPGrowth` algorithm for frequent pattern mining +* [`FPGrowth`](ml-frequent-pattern-mining.html#fp-growth) algorithm for frequent pattern mining ([SPARK-14503](https://issues.apache.org/jira/browse/SPARK-14503)) * `GLM` now supports the full `Tweedie` family ([SPARK-18929](https://issues.apache.org/jira/browse/SPARK-18929)) -* `Imputer` feature transformer to impute missing values in a dataset +* [`Imputer`](ml-features.html#imputer) feature transformer to impute missing values in a dataset ([SPARK-13568](https://issues.apache.org/jira/browse/SPARK-13568)) -* `LinearSVC` for linear Support Vector Machine classification +* [`LinearSVC`](ml-classification-regression.html#linear-support-vector-machine) + for linear Support Vector Machine classification ([SPARK-14709](https://issues.apache.org/jira/browse/SPARK-14709)) * Logistic regression now supports constraints on the coefficients during training ([SPARK-20047](https://issues.apache.org/jira/browse/SPARK-20047)) --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
