Lines Matching refs:dictionary

94     Use FILEs as a training set to create a dictionary.
155     This is effectively dictionary compression with some convenient parameter
182     do not store dictionary ID within frame header (dictionary compression).
183     The decoder will have to rely on implicit knowledge about which dictionary to use,
192     this parameter overrides that maximum size allowed for a dictionary. (128 MB).
194     Additionally, this can be used to limit memory for dictionary training. This parameter
308 the result of which is saved into a file called a `dictionary`.
309 Then during compression and decompression, reference the same dictionary,
314     Use FILEs as training set to create a dictionary.
316     and weight typically 100x the target dictionary size
317     (for example, 10 MB for a 100 KB dictionary).
323     The legacy dictionary builder can be accessed with `--train-legacy`.
324     The slower cover dictionary builder can be accessed with `--train-cover`.
327     Dictionary saved into `file` (default name: dictionary).
329     Limit dictionary to specified size (default: 112640).
339     A dictionary ID is a locally unique ID
340     that a decoder can use to verify it is using the right dictionary.
346     However, it's up to the dictionary manager to not assign twice the same ID to
349     Select parameters for the default dictionary builder algorithm named cover.
358     Selects segments of size _k_ with highest score to put in the dictionary.
366     to find optimal _d_ and _k_ to build dictionary.
368     Having _shrink_ enabled takes a truncated dictionary of minimum size and doubles
369     in size until compression ratio of the truncated dictionary is at most
370     _shrinkDictMaxRegression%_ worse than the compression ratio of the largest dictionary.
409     Use legacy dictionary builder algorithm with the given dictionary
411     The smaller the _selectivity_ value, the denser the dictionary,