fann_cascadetrain_on_data(3) [php man page]

FANN_CASCADETRAIN_ON_DATA(3)						 1					      FANN_CASCADETRAIN_ON_DATA(3)

fann_cascadetrain_on_data - Trains on an entire dataset, for a period of time using the Cascade2 training algorithm

SYNOPSIS

       bool fann_cascadetrain_on_data (resource  $ann, resource  $data, int  $max_neurons, int	$neurons_between_reports, float  $desired_error)

DESCRIPTION

	The  cascade  output  change fraction is a number between 0 and 1 determining how large a fraction the fann_get_MSE(3) value should change
       within fann_get_cascade_output_stagnation_epochs(3) during training of the output connections, in order for the training not  to  stagnate.
       If the training stagnates, the training of the output connections will be ended and new candidates will be prepared.

	This  training uses the parameters set using the fann_set_cascade_..., but it also uses another training algorithm as it's internal train-
       ing algorithm. This algorithm can be set to either FANN_TRAIN_RPROP or  FANN_TRAIN_QUICKPROP  by  fann_set_training_algorithm(3),  and  the
       parameters set for these training algorithms will also affect the cascade training.

PARAMETERS

	      o $ann
		-Neural network resource.

	      o $data
		-Neural network training data resource.

	      o $max_neurons
		- The maximum number of neurons to be added to neural network.

	      o $neurons_between_reports
		- The number of neurons between printing a status report. A value of zero means no reports should be printed.

	      o $desired_error
		-  The	desired  fann_get_MSE(3)  or fann_get_bit_fail(3), depending on which stop function is chosen by fann_set_train_stop_func-
		tion(3)

RETURN VALUES

       Returns TRUE on success, or FALSE otherwise.

SEE ALSO

       fann_train_on_data(3), fann_cascadetrain_on_file(3).

PHP Documentation Group 											      FANN_CASCADETRAIN_ON_DATA(3)

apertium-tagger(1)														apertium-tagger(1)

NAME

       apertium-tagger - This application is part of  ( apertium )

       This tool is part of the apertium open-source machine translation architecture: http://www.apertium.org.

SYNOPSIS

       apertium-tagger --train|-t {n} DIC CRP TSX PROB [--debug|-d]

       apertium-tagger --supervised|-s {n} DIC CRP TSX PROB HTAG UNTAG [--debug|-d]

       apertium-tagger --retrain|-r {n} CRP PROB [--debug|-d]

       apertium-tagger --tagger|-g [--first|-f] PROB [--debug|-d] [INPUT [OUTPUT]]

DESCRIPTION

       apertium-tagger	is  the  application  responsible  for	the  apertium  part-of-speech tagger training or tagging, depending on the calling
       options.  This command only reads from the standard input if the option --tagger or -g is used.

OPTIONS

       -t {n}, --train {n}
	      Initializes parameters through the Kupiec's method (unsupervised), then performs n iterations of the Baum-Welch  training  algorithm
	      (unsupervised).

       -s {n}, --supervised {n}
	      Initializes parameters against a hand-tagged text (supervised) through the maximum likelihood estimate method, then performs n iter-
	      ations of the Baum-Welch training algorithm (unsupervised)

       -r {n}, --retrain {n}
	      Retrains the model with n additional Baum-Welch iterations (unsupervised).

       -g, --tagger
	      Tags input text by means of Viterbi algorithm.

       -p, --show-superficial
	      Prints the superficial form of the word along side the lexical form in the output stream.

       -f, --first
	      Used if conjuntion with -g (--tagger) makes the tagger to give all lexical forms of each word, being the choosen one  in	the  first
	      place (after the lemma)

       -d, --debug
	      Print error (if any) or debug messages while operating.

       -m, --mark
	      Mark disambiguated words.

       -h, --help
	      Display a help message.

FILES

       These are the kinds of files used with each option:

       DIC Full expanded dictionary file

       CRP Training text corpus file

       TSX Tagger specification file, in XML format

       PROB Tagger data file, built in the training and used while tagging

       HTAG Hand-tagged text corpus

       UNTAG Untagged text corpus, morphological analysis of HTAG corpus to use both jointly with -s option

       INPUT Input file, stdin by default

       OUTPUT Output file, stdout by default

SEE ALSO

       lt-proc(1), lt-comp(1), lt-expand(1), apertium-translator(1), apertium(1).

BUGS

       Lots of...lurking in the dark and waiting for you!

AUTHOR

       Copyright  (c) 2005, 2006 Universitat d'Alacant / Universidad de Alicante.  This is free software.  You may redistribute copies of it under
       the terms of the GNU General Public License <http://www.gnu.org/licenses/gpl.html>.

								    2006-08-30							apertium-tagger(1)