Flaml

Latest version: v2.3.2

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0.2.4

make sample_weight right for ensemble; reduced dependency

0.2.3

minor bug fix for rf

0.2.2

Enhanced algorithms and implementations of hyperparameter tuning with support for parallel tuning and ray tune;
Support keyword arguments like sample_weight;
Enable mlflow logging.

0.1.3

Set default logging level to INFO

0.1.2

Hyperparameter + sample size: Cost Frugal Optimization (CFO) + Estimated Cost of Improvement (ECI)
Learner selection: ECI
Resampling strategy: threshold rule

0.1.0

First release of FLAML.

Hyperparameter + sample size: Cost Frugal Optimization (CFO) + Estimated Cost of Improvement (ECI)
Learner selection: ECI
Resampling strategy: threshold rule

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