DFT-GEN: Generate parameters randomly from the prior, or fix them. Dft-gen writes a series of independently-generated values for the overall hyperparameters and diffusion tree parameters to a log file. Usage: dft-gen log-file [ max-index ] [ "fix" [ SD-value ] ] Records of parameters with indexes from zero up to the indicated index are generated (the default is max-index of zero). If the log file already contains records with some of these indexes, only records with indexes greater than the last existing record are generated. If just max-index is specified, the parameters are generated randomly from the prior, using the random number seed taken from the log file (eg, as specified by rand-seed). The "fix" option is useful for initializing iterative programs. If it is given, the parameters are not generated at random, but are instead set to fixed values. The noise standard deviation hyperparameters and the diffusion tree standard deviations will be fixed to the value given after "fix", or at the location parameter of their prior distribution, if no such value is specified. The parameters of the divergence function are fixed at the location parameter of their prior distribution. No data model is required to use dft-gen, but if a model is specified, the hyperparameters associated with it are generated as well. Note that dft-gen does not generate any actual diffusion trees to go with the training cases, nor does it generate latent values for training cases. Copyright (c) 1995-2004 by Radford M. Neal