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Optuna

Software   Product     


General search term.
Might be referring to: optuna is an open-source hyperparameter optimization framework for machine learning. It provides a flexible and efficient way to search for the best set of hyperparameters for a given machine learning model..

  

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Latest forum discussions

We tracked 90 total in the last 3 months

Hi everyone, I have shared my notebook for solving the Flood Prediction competition HERE I used kfold with XGBoost, and used optuna to tune 10 different sets of parameters, one for each fold. I wonder what do you think about this approach. And what is your advice on how I handled this problem. Thank you very much for your time and consideration!
Published on 2024-05-04 in the Questions & Answers forum
This discussion is in English.
...:///{}.db".format(study_name) study = optuna.create_study( study_name=study...=storage_name, direction="minimize", pruner=optuna.pruners.MedianPruner(n_startup_trials...
Published on 2024-05-03 in the Active Forum forum
This discussion is in English.
...:///{}.db".format(study_name) study = optuna.create_study( study_name=study...=storage_name, direction="minimize", pruner=optuna.pruners.MedianPruner(n_startup_trials...
Published on 2024-05-03 in the Active Forum forum
This discussion is in English.
... = accuracy_score): #paramètres suggérés par optuna pour xgboost params = { "objective": 'multi..._vect) n_trials = 50 study = optuna.create_study(direction="maximize") study...
Published on 2024-04-30 in the Active Forum forum
This discussion is in English.
... = accuracy_score): #paramètres suggérés par optuna pour xgboost params = { "objective": 'multi..._vect) n_trials = 50 study = optuna.create_study(direction="maximize") study...
Published on 2024-04-30 in the Active Forum forum
This discussion is in English.
... install git+https://github.com/optuna/optuna.git However, this doesn't ... model = xgb(**param) pruning_callback = optuna.integration.XGBoostPruningCallback(trial, "validation-rmsle") ..._y, preds) return score study = optuna.create_study(direction='minimize') study....
Published on 2024-04-28 in the Active Forum forum
This discussion is in English.
... install git+https://github.com/optuna/optuna.git However, this doesn't ... model = xgb(**param) pruning_callback = optuna.integration.XGBoostPruningCallback(trial, "validation-rmsle") ..._y, preds) return score study = optuna.create_study(direction='minimize') study....
Published on 2024-04-28 in the Active Forum forum
This discussion is in English.
..., you may want to try Optuna by implementing a cross-validation...
Published on 2024-04-27 in the Questions & Answers forum
This discussion is in English.
..., you may want to try Optuna by implementing a cross-validation...
Published on 2024-04-27 in the Questions & Answers forum
This discussion is in English.
... implementation of preferential optimisation in optuna, feel free to click the...-in-the-Loop Optimization with Optuna(PART-2) GirHub Repo
Published on 2024-04-27 in the General forum
This discussion is in English.
... implementation of preferential optimisation in optuna, feel free to click the...-in-the-Loop Optimization with Optuna(PART-2) GirHub Repo
Published on 2024-04-27 in the General forum
This discussion is in English.
... libraries and tuning libraries like Optuna will also be good for...
Published on 2024-04-25 in the Questions & Answers forum
This discussion is in English.
... libraries and tuning libraries like Optuna will also be good for...
Published on 2024-04-25 in the Questions & Answers forum
This discussion is in English.
...先进的CTGAN和Optuna优化框架来...
Published on 2024-04-24 in the 计算机科学 forum
This discussion is in Chinese - Simplified.
...先进的CTGAN和Optuna优化框架来...
Published on 2024-04-24 in the 计算机科学 forum
This discussion is in Chinese - Simplified.
...==2.0.0 #pip install Optuna 一、库导入与...
Published on 2024-04-21 in the 人工智能 forum
This discussion is in English.
...==2.0.0 #pip install Optuna 一、库导入与...
Published on 2024-04-21 in the 人工智能 forum
This discussion is in English.
..., I am using the Optuna library for hyperparameter optimization in ... the optimization results using Optuna’s plot_optimization_history function... would like to use Optuna for hyperparameter optimization optuna_mode = input("\n➤...path = "example.db" if optuna_mode.lower() == 'optuna': study = optuna.create_study(study_name... for hyperparameter optimization with Optuna def objective(trial, model, tokenized...
Published on 2024-04-20 in the Transformers forum
This discussion is in English.
..., I am using the Optuna library for hyperparameter optimization in ... the optimization results using Optuna’s plot_optimization_history function... would like to use Optuna for hyperparameter optimization optuna_mode = input("\n➤...path = "example.db" if optuna_mode.lower() == 'optuna': study = optuna.create_study(study_name... for hyperparameter optimization with Optuna def objective(trial, model, tokenized...
Published on 2024-04-20 in the Transformers forum
This discussion is in English.