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Fix plurality.

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This commit is contained in:
Ryan Curtin
2023-10-19 16:38:09 -04:00
parent 9068890178
commit ff362db2e2
2 changed files with 8 additions and 8 deletions
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doc/user/methods/decision_tree.md
+4 -4
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@@ -181,8 +181,8 @@ to make class predictions for new data. Defaults and types are detailed in the
* `tree.Classify(data, predictions)`
- ***(Multi-point)***
- Classify a set of points.
- The predicted classes of each point is stored in `predictions`, which is
set to length `data.n_cols`.
- The predicted class of each point is stored in `predictions`, which is set
to length `data.n_cols`.
- The prediction for data point `i` can be accessed with `predictions[i]`.
---
@@ -190,8 +190,8 @@ to make class predictions for new data. Defaults and types are detailed in the
* `tree.Classify(data, predictions, probabilities)`
- ***(Multi-point)***
- Classify a set of points and compute class probabilities for each point.
- The predicted classes of each point is stored in `predictions`, which is
set to length `data.n_cols`.
- The predicted class of each point is stored in `predictions`, which is set
to length `data.n_cols`.
- The prediction for data point `i` can be accessed with `predictions[i]`.
- The class probabilities for each point are stored in `probabilities`,
which is set to size `numClasses` by `data.n_cols`.
doc/user/methods/random_forest.md
+4 -4
View File
@@ -233,8 +233,8 @@ to make class predictions for new data. Defaults and types are detailed in the
* `rf.Classify(data, predictions)`
- ***(Multi-point)***
- Classify a set of points.
- The predicted classes of each point is stored in `predictions`, which is
set to length `data.n_cols`.
- The predicted class of each point is stored in `predictions`, which is set
to length `data.n_cols`.
- The prediction for data point `i` can be accessed with `predictions[i]`.
---
@@ -242,8 +242,8 @@ to make class predictions for new data. Defaults and types are detailed in the
* `rf.Classify(data, predictions, probabilities)`
- ***(Multi-point)***
- Classify a set of points and compute class probabilities for each point.
- The predicted classes of each point is stored in `predictions`, which is
set to length `data.n_cols`.
- The predicted class of each point is stored in `predictions`, which is set
to length `data.n_cols`.
- The prediction for data point `i` can be accessed with `predictions[i]`.
- The class probabilities for each point are stored in `probabilities`,
which is set to size `numClasses` by `data.n_cols`.