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# Version 0.3

Third time’s a charm.

## New features

- Accuracy improvements of the optimization of the acquisition function by pre-selecting good candidates as starting points when using `acq_optimizer='lbfgs'`.

- Support a ask-and-tell interface. Check out the `Optimizer` class if you need fine grained control over the iterations.

- Parallelize L-BFGS minimization runs over the acquisition function.

- Implement weighted hamming distance kernel for problems with only categorical dimensions.

- New acquisition function `gp_hedge` that probabilistically chooses one of `EI`, `PI` or `LCB` at every iteration depending upon the cumulative gain.

## Bug fixes

- Warnings are now raised if a point is chosen as the candidate optimum multiple times.

- Infinite gradients that were raised in the kernel gradient computation are now fixed.

- Integer dimensions are now normalized to [0, 1] internally in `gp_minimize`.

## API Changes

- The default `acq_optimizer` function has changed from `"auto"` to `"lbfgs"` in `gp_minimize`.