Version 0.2.5
We add the following new features to this version:
Full pipeline GPU acceleration
Data adaption
Data cleaning
Feature selection
Data drift detection
Feature selection(2nd stage)
Pseudo labeling(2nd stage)
Optimization
Data preprocessing
Model fitting
Model ensemble
Metrics
Model training
Add TargetEncoder for categories
Set estimator eval_metric based on experiment reward_metric
Advanced Features
Data adaption in experiment
Experiment Visualization
Experiment configurations
Dataset information
Processing information
Multijob management
Series and parallel jobs scheduling
Local and remote jobs execution
Export experiment report