hi, I'm running a hyper-parameter optimization using hyperopt-sklearn on some scientific data on Colab. i've seen the following errors.
code are as follows
estim = HyperoptEstimator(regressor=any_regressor('rgr'),
preprocessing=any_preprocessing('pre'),
algo=tpe.suggest,
max_evals=100,
trial_timeout=100)
estim.fit(X_train, y_train)
print(estim.score(X_test, y_test))
print(estim.best_model())
errors are
[01:56:24] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
0%| | 0/1 [00:00<?, ?it/s, best loss: ?]/usr/local/lib/python3.6/dist-packages/sklearn/ensemble/_gb.py:1342: FutureWarning: The parameter 'presort' is deprecated and has no effect. It will be removed in v0.24. You can suppress this warning by not passing any value to the 'presort' parameter. We also recommend using HistGradientBoosting models instead.
FutureWarning)
hi, I'm running a hyper-parameter optimization using hyperopt-sklearn on some scientific data on Colab. i've seen the following errors.
code are as follows
estim = HyperoptEstimator(regressor=any_regressor('rgr'),
preprocessing=any_preprocessing('pre'),
algo=tpe.suggest,
max_evals=100,
trial_timeout=100)
estim.fit(X_train, y_train)
print(estim.score(X_test, y_test))
print(estim.best_model())
errors are
[01:56:24] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
0%| | 0/1 [00:00<?, ?it/s, best loss: ?]/usr/local/lib/python3.6/dist-packages/sklearn/ensemble/_gb.py:1342: FutureWarning: The parameter 'presort' is deprecated and has no effect. It will be removed in v0.24. You can suppress this warning by not passing any value to the 'presort' parameter. We also recommend using HistGradientBoosting models instead.
FutureWarning)