From b2f33233623e57ccbc12703afe2b19fe7e7e2375 Mon Sep 17 00:00:00 2001 From: Ryan Curtin Date: Mon, 25 Sep 2023 13:17:52 -0400 Subject: [PATCH] Another attempt at a multiline table. --- doc/user/methods/decision_tree.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/doc/user/methods/decision_tree.md b/doc/user/methods/decision_tree.md index a862fe0d26..9d29295638 100644 --- a/doc/user/methods/decision_tree.md +++ b/doc/user/methods/decision_tree.md @@ -15,8 +15,7 @@ constructor parameters that can be used to control the behavior of the tree. |---------------|-----------------| | `DecisionTree(numClasses)` | Initialize tree without training. | | `DecisionTree(data, labels, numClasses)` | Train on numerical-only data. | -| ```DecisionTree(data, labels, numClasses, minimumLeafSize, - minimumGainSplit, maximumDepth)``` | Train on numerical-only data with hyperparameters. | +| ```DecisionTree(data, labels, numClasses, minimumLeafSize,
minimumGainSplit, maximumDepth)``` | Train on numerical-only data with hyperparameters. | | `DecisionTree(data, datasetInfo, labels, numClasses)` | Train on mixed categorical data. | | `DecisionTree(data, datasetInfo, labels, numClasses, minimumLeafSize, minimumGainSplit, maximumDepth)` | Train on mixed categorical data with hyperparameters. | | `DecisionTree(data, datasetInfo, labels, numClasses, weights)` | Train on weighted mixed categorical data. |