Version 0.2.2ΒΆ
We add the following new features to this version:
Feature engineering
Feature generating
Feature dimension reduction
Data cleaning
Missing characters handling
Column types correction
Constant columns cleaning
Repeat columns cleaning
Deleating examples with missing targets
Replacing invalid values
id columns cleaning
Dataset splitting
Adversarial validation
Modelling algorithms
XGBoost
Catboost
LightGBM
HistGridientBoosting
Model training
Automatic task inferencing
Command line tools
Evaluation methods
Cross-Validation
Train-Validation-Holdout
Search Algorithms
Monte-Carlo Tree search
Evolution algorithms
Random search
Imbalanced data handling
Class Weight
Under-sampling
Near miss
Tomeks links
Random
Over-sampling
SMOTE
ADASYN
Random
Early-stopping strategy
stopping after n times searching without improving
stopping after using a maximal time
stopping after achieving expected performance
Advanced Features
Two-stage search
Pseudo-label
Feature selection
Concepts drift handling
Model ensemble