diff --git a/qiskit_machine_learning/utils/loss_functions/kernel_loss_functions.py b/qiskit_machine_learning/utils/loss_functions/kernel_loss_functions.py
index c4bf7dbc4..e17b962dd 100644
--- a/qiskit_machine_learning/utils/loss_functions/kernel_loss_functions.py
+++ b/qiskit_machine_learning/utils/loss_functions/kernel_loss_functions.py
@@ -54,9 +54,8 @@ def evaluate(
         An abstract method for evaluating the loss of a kernel function on a labeled dataset.
 
         Args:
-            parameter_values: an array of values to assign to the user params
-            quantum_kernel: A :class:`~qiskit_machine_learning.kernels.BaseKernel` object
-                to evaluate
+            parameter_values: An array of values to assign to the user params
+            quantum_kernel: A trainable quantum kernel object to evaluate
             data: An ``(N, M)`` matrix containing the data
                     ``N = # samples, M = dimension of data``
             labels: A length-N array containing the truth labels