
  ddooEExxaammppllee -- rruunnss tthhee nneettwwoorrkk oonn tthhee nneexxtt oorr aa ssppeecciiffiieedd eexxaammppllee

  UUSSAAGGEE

        doExample [<example-num>] [-set <example-set> | -train | -test]

  DDEESSCCRRIIPPTTIIOONN

  This runs the network on an example and adds the error to the network's
  total error. If no example number is given, the next example from the set
  will be used. If the set is in PIPE mode, the next example will be read
  from the pipe. If an example number is specified, it will not affect the
  example order maintained by the example set when in ORDERED or PERMUTED
  mode. The set will later resume where it left off.

  If neither "-train" nor "-test" is specified, the network's current
  netRunExample and netRunTick functions will be used to run the example. "-
  train" will cause the netRunExample to be set to netTrainExample and
  netRunTick to netTrainTick. "-test" will set netRunExample to
  netTestExample and netRunTick to netTestTick.

  If an example set is specified, the example will be chosen from it.
  Otherwise, either the training set or testing set will be used, provided
  they exist. If the "-test" flag is given, the testing set will be given
  priority. Otherwise, the training set will be given priority.

  EEXXAAMMPPLLEESS

  To run the next training example, assuming there is a training set:

        lens> doExample
  To run example 3 from the training set:

        lens> doExample 3
  To run the next training example from the set "extra set":

        lens> doExample -s "extra set"
  To train the network (accumulate link weight error derivatives) on the next
  training example, assuming there is a training set:

        lens> doExample -tr

  SSEEEE AALLSSOO

  _l_o_a_d_E_x_a_m_p_l_e_s, _e_x_a_m_p_l_e_S_e_t_M_o_d_e, _r_e_s_e_t_E_x_a_m_p_l_e_S_e_t_s, _u_p_d_a_t_e_W_e_i_g_h_t_s

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    Last modified: Tue Apr 11 22:45:47 EDT 2000

