Update sklearn_bench/tsne.py

Co-authored-by: Ekaterina Mekhnetsova <mekkatya@gmail.com>

Author: itearsl

sklearn_bench/tsne.py

@@ -62,7 +62,7 @@ def main():
                         help='Angular size. This is the trade-off between speed and accuracy.')
     parser.add_argument('--min-grad-norm', type=float, default=1e-7,
                         help='If the gradient norm is below this threshold,'
-                        'the optimization will be stopped.')
+                        'the optimization is stopped.')
     parser.add_argument('--random-state', type=int, default=1234)
 
     params = bench.parse_args(parser)