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Show the best value on study detail page.
Description
When update to v0.7.0, the BestValue in the homepage is missed. But this information is very important for user to fast see the experiment's status. I think this may be a bug when
The homepage of v0.7.1
The homepage of v0.6.4
How to Reproduce
create an study like below using optuna and open optuna-dashboard to visualize.
import optuna
import datetime
from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
from sklearn.neural_network import MLPClassifier
def objective(trial):
data,target = make_classification(n_samples=1000,n_features=20,
n_informative=12,n_redundant=4,n_repeated=0,n_classes=4,
n_clusters_per_class=4)
x_train, x_valid, y_train, y_valid = train_test_split(data, target)
classes = list(set(target))
clf = MLPClassifier(
hidden_layer_sizes=tuple(
[trial.suggest_int("n_units_l{}".format(i), 32, 64) for i in range(5)]
),
learning_rate_init=trial.suggest_float("lr_init", 1e-5, 1e-1, log=True),
)
for step in range(200):
clf.partial_fit(x_train, y_train, classes=classes)
value = clf.score(x_valid, y_valid)
# Report intermediate objective value.
trial.report(value, step)
# Handle pruning based on the intermediate value.
if trial.should_prune():
raise optuna.TrialPruned()
return value
storage_name = "sqlite:///optuna.db"
nowtime = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
study = optuna.create_study(direction="maximize", pruner=optuna.pruners.MedianPruner(),
study_name="mlp", storage=storage_name, load_if_exists=True)
study.optimize(objective, n_trials=200, timeout=3600)
Python version
3.7
Optuna version
Output of $ python -c 'import optuna; print(optuna.__version__)'
optuna-dashboard version or git revision
0.7.1
Web browser
chrome
Thank you for opening an issue. I deliberately removed the "Best Value" column due to the performance reasons.
Therefore, you need to sort trials by objective value in TrialTable in order to check the best value. It is a bit cumbersome, so I will try to think of a way to see "Best Value" easily as before. Sorry for the inconvenience.