add additional test functions and psychophysics task and dataset from Letham et al. 2022 #350
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… Letham et al. 2022 (facebookresearch#350) Summary: Additional high-dimensional test functions and real psychophysics task are added to problem.py for benchmarking performance of acquistions functions or GP models. The code and dataset are obtained from https://github.com/facebookresearch/bernoulli_lse/blob/main/problems.py. Differential Revision: D57885175
…acebookresearch#349) Summary: The run_benchmarks_with_checkpoints function generates an output path featuring the current chunk number. If the benchmarking process restarts, previous outputs will be overwritten. To avoid this and prevent file overwriting, the start_idx argument can be used to initiate chunk counting from a specific index. Reviewed By: crasanders Differential Revision: D57881813
… Letham et al. 2022 (facebookresearch#350) Summary: Additional high-dimensional test functions and real psychophysics task are added to problem.py for benchmarking performance of acquistions functions or GP models. The code and dataset are obtained from https://github.com/facebookresearch/bernoulli_lse/blob/main/problems.py. Differential Revision: D57885175
… Letham et al. 2022 (facebookresearch#350) Summary: Additional high-dimensional test functions and real psychophysics task are added to problem.py for benchmarking performance of acquistions functions or GP models. The code and dataset are obtained from https://github.com/facebookresearch/bernoulli_lse/blob/main/problems.py. Differential Revision: D57885175
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Summary: Additional high-dimensional test functions and real psychophysics task are added to problem.py for benchmarking performance of acquistions functions or GP models. The code and dataset are obtained from https://github.com/facebookresearch/bernoulli_lse/blob/main/problems.py.
Differential Revision: D57885175