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* Added BetaSolutionSampler which represent a beta distribution over the Pareto Front. * Points can optionally be projected onto the normal vector simplex, and onto the x-axis (currently works in only 2 dimensional objective functions) * Removed Uniform Sampler as it can be well approximated by the Normal sampler and represented by the new beta sampler.
* Added a diverstiy based solution sampler that calculates weights based on crowding distances
*Removed Normal and Beta Solution Sampler and added a generic PDF Solution Sampler, that accepts any pdf from scipy.stats
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* Add BetaSolutionSampler * Added BetaSolutionSampler which represent a beta distribution over the Pareto Front. * Points can optionally be projected onto the normal vector simplex, and onto the x-axis (currently works in only 2 dimensional objective functions) * Removed Uniform Sampler as it can be well approximated by the Normal sampler and represented by the new beta sampler. * Add DiversitySolutionSampler * Added a diverstiy based solution sampler that calculates weights based on crowding distances * Change name and standard value for Normal parameters * Add missing line at eof in sampler.py * Refactor Solution Sampler *Removed Normal and Beta Solution Sampler and added a generic PDF Solution Sampler, that accepts any pdf from scipy.stats * Fix dependencies that relied on NormalSampler * Expose pdf_args to hypertuner * Return to Beta solution sampler
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