added todo

main/time_batch_subsample_ops.py

@@ -5,7 +5,7 @@ from sklearn.metrics.pairwise import rbf_kernel
 import skluc.mldatasets as dataset
 from skluc.tensorflow_.utils import fully_connected, get_next_batch, tf_op, conv_relu_pool
 from skluc.utils import time_fct
-from skluc.tensorflow_.kernel_approximation.nystrom_layer import tf_rbf_kernel
+from skluc.tensorflow_.kernel import tf_rbf_kernel
 
 tf.logging.set_verbosity(tf.logging.ERROR)
 
@@ -19,6 +19,7 @@ X_train = X_train.astype(np.float32)
 
 ################################################
 
+# todo timer les autres kernels pour verifier que c'est effectivement plus rapide
 
 if __name__ == '__main__':
     input_dim = X_train.shape[1]