Releases: microsoft/FLAML
Releases · microsoft/FLAML
v0.2.4
make sample_weight right for ensemble; reduced dependency
v0.2.2
Enhanced algorithms and implementations of hyperparameter tuning with support for parallel tuning and ray tune;
Support keyword arguments like sample_weight;
Enable mlflow logging.
v0.1.3
Set default logging level to INFO
v0.1.2
Hyperparameter + sample size: Cost Frugal Optimization (CFO) + Estimated Cost of Improvement (ECI)
Learner selection: ECI
Resampling strategy: threshold rule
v0.1.0
First release of FLAML.
Hyperparameter + sample size: Cost Frugal Optimization (CFO) + Estimated Cost of Improvement (ECI)
Learner selection: ECI
Resampling strategy: threshold rule