Implemented training function.

CPP_Implementation/rbf_model.cpp

@@ -73,6 +73,20 @@ void RBFModel::adapt(double error, double learning_rate, const double* input) {
     }
 }
 
+/**
+ * @brief Train the RBF model using recorded data.
+ */
+void RBFModel::train(const double* inputs, const double* targets, int n_samples, int epochs, double learning_rate) {
+    for (int iter = 0; iter < epochs; ++iter) {
+        for (int sample = 0; sample < n_samples; ++sample) {
+            double output = predict(&inputs[sample * input_dim]); 
+            double error = targets[sample] - output;
+
+            adapt(error, learning_rate, &inputs[sample * input_dim]); // Adapt weights based on the error
+        }
+    }
+}
+
 /**
  * @brief Get the weight at a specific index.
  */