From be846db48b226de2b0dfb5f87d059eda15ecf7cd Mon Sep 17 00:00:00 2001 From: Nick Pentreath <nickp@za.ibm.com> Date: Mon, 22 May 2017 12:29:29 +0200 Subject: [PATCH] [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 <nickp@za.ibm.com> Closes #18043 from MLnick/SPARK-20506-2.2-migration-guide-2. --- docs/ml-guide.md | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) diff --git a/docs/ml-guide.md b/docs/ml-guide.md index 362e883e55..fb4621389a 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)) -- GitLab