diff --git a/forge-gui-desktop/src/test/java/forge/deck/generate/lda/examples/Example.java b/forge-gui-desktop/src/test/java/forge/deck/generate/lda/examples/Example.java
index 8b9524ffee6..2e7e3f610ed 100644
--- a/forge-gui-desktop/src/test/java/forge/deck/generate/lda/examples/Example.java
+++ b/forge-gui-desktop/src/test/java/forge/deck/generate/lda/examples/Example.java
@@ -42,7 +42,7 @@ public class Example {
         });
         Dataset dataset = new Dataset(FModel.getFormats().getStandard());
         
-        final int numTopics = 100;
+        final int numTopics = 50;
         LDA lda = new LDA(0.1, 0.1, numTopics, dataset, CGS);
         lda.run();
         System.out.println(lda.computePerplexity(dataset));
@@ -50,8 +50,8 @@ public class Example {
         for (int t = 0; t < numTopics; ++t) {
             List<Pair<String, Double>> highRankVocabs = lda.getVocabsSortedByPhi(t);
             System.out.print("t" + t + ": ");
-            for (int i = 0; i < 5; ++i) {
-                System.out.print("[" + highRankVocabs.get(i).getLeft() + "," + highRankVocabs.get(i).getRight() + "],");
+            for (int i = 0; i < 20; ++i) {
+                System.out.println("[" + highRankVocabs.get(i).getLeft() + "," + highRankVocabs.get(i).getRight() + "],");
             }
             System.out.println();
         }
diff --git a/forge-gui-desktop/src/test/java/forge/deck/generate/lda/lda/LDA.java b/forge-gui-desktop/src/test/java/forge/deck/generate/lda/lda/LDA.java
index ac742df027a..dea408753fd 100644
--- a/forge-gui-desktop/src/test/java/forge/deck/generate/lda/lda/LDA.java
+++ b/forge-gui-desktop/src/test/java/forge/deck/generate/lda/lda/LDA.java
@@ -71,7 +71,7 @@ public class LDA {
      * @throws IllegalArgumentException vocabID <= 0 || the number of vocabularies < vocabID
      */
     public String getVocab(int vocabID) {
-        if (vocabID <= 0 || dataset.getNumVocabs() < vocabID) {
+        if (vocabID < 0 || dataset.getNumVocabs() < vocabID) {
             throw new IllegalArgumentException();
         }
         return dataset.get(vocabID).toString();
@@ -94,7 +94,7 @@ public class LDA {
      * @throws ArrayIndexOutOfBoundsException topic < 0 || #topics <= topic
      */
     public double getAlpha(final int topic) {
-        if (topic < 0 || numTopics <= topic) {
+        if (topic < 0 || numTopics < topic) {
             throw new ArrayIndexOutOfBoundsException(topic);
         }
         return hyperparameters.alpha(topic);
@@ -125,8 +125,8 @@ public class LDA {
      * @throws IllegalStateException call this method when the inference has not been finished yet
      */
     public double getTheta(final int docID, final int topicID) {
-        if (docID <= 0 || dataset.getNumDocs() < docID
-                || topicID < 0 || numTopics <= topicID) {
+        if (docID < 0 || dataset.getNumDocs() < docID
+                || topicID < 0 || numTopics < topicID) {
             throw new IllegalArgumentException();
         }
         if (!trained) {
@@ -145,7 +145,7 @@ public class LDA {
      * @throws IllegalStateException call this method when the inference has not been finished yet
      */
     public double getPhi(final int topicID, final int vocabID) {
-        if (topicID < 0 || numTopics <= topicID || vocabID <= 0) {
+        if (topicID < 0 || numTopics < topicID || vocabID < 0) {
             throw new IllegalArgumentException();
         }
         if (!trained) {
@@ -170,7 +170,7 @@ public class LDA {
      */
     public double computePerplexity(Dataset testDataset) {
         double loglikelihood = 0.0;
-        for (int d = 1; d <= testDataset.getNumDocs(); ++d) {
+        for (int d = 0; d < testDataset.getNumDocs(); ++d) {
             for (Integer w : testDataset.getWords(d)) {
                 double sum = 0.0;
                 for (int t = 0; t < getNumTopics(); ++t) {