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# Version 0.2

## New features

- Speed improvements when using `gp_minimize` with `acq_optimizer='lbfgs'` and `acq_optimizer='auto'` when all the search-space dimensions are Real.

- Persistence of minimization results using `skopt.dump` and `skopt.load`.

- Support for using arbitrary estimators that implement a `return_std` argument in their `predict` method by means of `base_minimize` from `skopt.optimizer.`

- Support for tuning noise in `gp_minimize` using the `noise` argument.

- `TimerCallback` in `skopt.callbacks` to log the time between iterations of the minimization loop.