def test_save_history_best_not_valid(tmpdir, history):
_save_history_csv(history, tmpdir, True, METRIC_VAL_ACCURACY, 11)
df = pd.read_csv(tmpdir + "/model_history.csv")
check = df[df["best"] == 1]
assert list(check["epoch"])[0] == 5
def test_save_history_no_best(tmpdir, history):
_save_history_csv(history, tmpdir, True, "loss", None)
df = pd.read_csv(tmpdir + "/model_history.csv")
check = df[df["best"] == 1]
assert list(check["epoch"])[0] == 5
def test_save_history_best_loss(tmpdir, history):
_save_history_csv(history, tmpdir, True, METRIC_VAL_LOSS, 3)
df = pd.read_csv(tmpdir + "/model_history.csv")
check = df[df["best"] == 1]
assert list(check["epoch"])[0] == 2
def test_save_history_best_acc(tmpdir, history):
_save_history_csv(history, tmpdir, True, VAL_ACC, 1)
df = pd.read_csv(tmpdir + "/model_history.csv")
check = df[df["best"] == 1]
assert list(check["epoch"])[0] == 0