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fix(examples): correct TreeSHAPExample compilation errors #4

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yasmramos merged 2 commits into from
Jul 14, 2026
Merged

fix(examples): correct TreeSHAPExample compilation errors #4

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7e38b18
feat(model_selection): add UnifiedModelSelector integrating GridSearc…
yasmramos Jul 14, 2026
89f3250
fix(examples): correct TreeSHAPExample compilation errors
yasmramos Jul 14, 2026
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7 changes: 4 additions & 3 deletions examples/src/main/java/io/github/yasmramos/mindforge/examples/TreeSHAPExample.java
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Original file line number Diff line number Diff line change
Expand Up @@ -20,10 +20,9 @@ public static void main(String[] args) {
System.out.println("Loading Iris dataset...");
var dataset = DatasetLoader.loadIris();
double[][] X = dataset.getFeatures();
int[] y = dataset.getTargets();
int[] y = dataset.getLabels();

System.out.println("Dataset: " + X.length + " samples, " + X[0].length + " features");
System.out.println("Classes: " + dataset.getClasses().length + "\n");

// Train Random Forest
System.out.println("Training Random Forest classifier...");
Expand All @@ -36,6 +35,8 @@ public static void main(String[] args) {

rf.fit(X, y);

System.out.println("Classes: " + rf.getClasses().length + "\n");

// Evaluate model
int[] predictions = rf.predict(X);
double accuracy = Metrics.accuracy(y, predictions);
Expand All @@ -60,7 +61,7 @@ public static void main(String[] args) {
System.out.println("=== Explaining Single Instance ===");
double[] instance = X[100]; // Pick an instance to explain
int trueLabel = y[100];
int predictedLabel = rf.predict(instance)[0];
int predictedLabel = rf.predict(new double[][] { instance })[0];

System.out.println("Instance: " + java.util.Arrays.toString(instance));
System.out.println("True label: " + trueLabel);
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