Porgo

Latest version: v1.1.1

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1.1.1

induced trait:
- add *minimum* param to support internal output from instance computation, provide eager query of (mini, fit_mini).

1.1.0

newly support:
- replace *argmin* with *argsort* to support top3 minimum results, provide left and right values for narrower search intervals, consider the randomness and discontinuity of local updates.
> check *instance.mini* and *instance.fit_mini* to see the best converged result instead of checking *instance.best* and *instance.best_fit* in previous versions.

1.0.1

newly support:
- enhanced search bounds check, set bounds to [[-10. 10], [-2, 5]] or [(-10, 10)] * 10 that conforms to preparation of glos.

1.0.0

The memory-optimized version can search for the global minimum point of the function in a larger space.

support:
- research any high-dimensional function of convex and non-convex target init from given start points and all local minima.
- run several times of train_gen module in a small cycle when the global minima exists in large bounds and consider uncertainty.
- record updated results to check the converged state and narrow down the search interval by observation and tune.

refer to tests folder, test.py, and test_.py.

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