From 9bf0ca7391d18ac741ed119c5c9f67a7dffcd855 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?LEMLIJN=20Cl=C3=A9ment?= Date: Tue, 12 May 2026 12:07:13 +0200 Subject: [PATCH] work in progress --- config.json | 4 +- src/main/java/com/naaturel/ANN/Main.java | 5 ++ .../data_formatted_low_learning.csv | 50 +++++++++++++++++++ 3 files changed, 57 insertions(+), 2 deletions(-) create mode 100644 src/main/resources/assets/LangageDesSignes/data_formatted_low_learning.csv diff --git a/config.json b/config.json index 112e0b6..f436ca6 100644 --- a/config.json +++ b/config.json @@ -2,13 +2,13 @@ "model": { "new": false, "parameters": [10, 10, 5], - "path": "C:/HEPL/RNA2/ANN-framework/src/main/resources/snapshots/snapshot-learning.json" + "path": "C:/HEPL/RNA2/ANN-framework/src/main/resources/snapshots/snapshot-low-learning.json" }, "training" : { "learning_rate" : 0.003, "max_epoch" : 5000 }, "dataset" : { - "path" : "C:/HEPL/RNA2/ANN-framework/src/main/resources/assets/LangageDesSignes/data_formatted_validation.csv" + "path" : "C:/HEPL/RNA2/ANN-framework/src/main/resources/assets/LangageDesSignes/data_formatted_Low_learning.csv" } } \ No newline at end of file diff --git a/src/main/java/com/naaturel/ANN/Main.java b/src/main/java/com/naaturel/ANN/Main.java index 25b5c51..cf6b8f8 100644 --- a/src/main/java/com/naaturel/ANN/Main.java +++ b/src/main/java/com/naaturel/ANN/Main.java @@ -75,6 +75,7 @@ public class Main { } private static void accuracyCheck(DataSet dataset, Model model){ int correct = 0; + float totalConfidence = 0; for (DataSetEntry entry : dataset) { float[] predictions = model.predict(entry.getDataAsFloat()); List labels = dataset.getLabelsAsFloat(entry); @@ -84,6 +85,7 @@ public class Main { for (int i = 1; i < predictions.length; i++) { if (predictions[i] > predictions[predictedClass]) predictedClass = i; } + totalConfidence += predictions[predictedClass]; // argmax of labels int expectedClass = 0; @@ -91,11 +93,14 @@ public class Main { if (labels.get(i) > labels.get(expectedClass)) expectedClass = i; } + System.out.println(Arrays.toString(predictions) + " || " + predictedClass + " | " + expectedClass); + if (predictedClass == expectedClass) correct++; } float x = 100f * correct / dataset.size(); System.out.println("Accuracy: " + x + "%"); + System.out.println("Average confidence: " + totalConfidence / dataset.size() + "%"); } private static void plotGraph(DataSet dataset, Model network){ diff --git a/src/main/resources/assets/LangageDesSignes/data_formatted_low_learning.csv b/src/main/resources/assets/LangageDesSignes/data_formatted_low_learning.csv new file mode 100644 index 0000000..74a5714 --- /dev/null +++ b/src/main/resources/assets/LangageDesSignes/data_formatted_low_learning.csv @@ -0,0 +1,50 @@ 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