Returns the expected log factor value, i.e., <tt>sum_x factor.value(x) Math.log (factor.value (x))</tt> where the summation is taken over all pass

If "ifSelected" is false, it reverses the selection. If "fselection" is null, this implies that all features are selected; all values in th

Set whether input is taken from target field of instance during processing. If argument is false, don't expect to find input material for the target.

Tests that getValue and getValueGradient are consistent. Tests for consistency at <tt>params = 0</tt> and at <tt> params = -0.0001 grad(f)</tt> @see

Trains a MEMM until convergence.

Add a group of states that are fully connected with each other, with parameters equal zero, and labels on their out-going arcs the same name as their

Returns a list of all factors in the graph whose domain is exactly the specified var.

Returns the index of this variable in its universe

Calculate the precision of the classifier on an instance list for a particular target entry

Calculate the recall of the classifier on an instance list for a particular target entry

Return an array of sorted sets (one set per topic). Each set contains IDSorter objects with integer keys into the alphabet. To get direct access t

Returns the total number of messages this inferencer has sent.

Returns the marginal distribution attained by summing out the given variable.

Relabels the clustering to reflect merging clusters i and j. Relabels all of Instances with label j to label i. @param clustering @param i @param j @r

Set the current queue position for this element. This should only be called by a queue implementation. @param pos the new position for the element

Converts this assignment into a unique integer. All different assignments to the same variables are guaranteed to have unique integers. The range of

FACTOR IMPLEMENTATION