20230131Tutorial=Jan 31, 2023 Tutorial (regression)
20230217Tutorial=Feb 17, 2023 Tutorial (regression, marchine learning)
20230306Tutorial=Mar 06, 2023 Tutorial (Non-linear optimization)
20230322Tutorial=Mar 22, 2023 Tutorial (spectrum analyssi)


help_max_num_probes=Number of iteration. Default: 1
help_num_search_each=Number of probes at each iteration. Default: 1
help_num_rand_basis=Number of random Gauss bases. Default: 200
help_interval=Iterations to update hyper parameters. Default: 0
help_score_mode=Type of aquisition function. Default: EI
help_random_seed=Seed for random numbers. Leave blank ("": null) to apply random seed. Specify an integer if you need reprodcible random numbers. Default: ""[null]
help_fig_width=Width of graph window. Default: 12
help_fig_height=Height of graph window. Default: 8
Menu=Launcher
Editor test=Viewer
sel_file:=file:
argument:=args:
command_line_org:=cmd(org):
command_line:=cmd(conv):

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# Tooltip
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ML_wo_CV=Machine learning regression without Cross-Validation
ML_w_CV=Machine learning regression with Cross-Validation

Manage CIF file=Show CIF inf, Transform structure, Calculate distance
Show CIF help=Help links


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# MDX related
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:Fitting=Fitting, Machine-learning regression