Uses of Class
edu.illinois.cs.cogcomp.lbjava.parse.FoldParser.SplitPolicy

Packages that use FoldParser.SplitPolicy

Package	Description
edu.illinois.cs.cogcomp.lbjava.IR
edu.illinois.cs.cogcomp.lbjava.learn
edu.illinois.cs.cogcomp.lbjava.parse

Uses of FoldParser.SplitPolicy in edu.illinois.cs.cogcomp.lbjava.IR

Fields in edu.illinois.cs.cogcomp.lbjava.IR declared as FoldParser.SplitPolicy

Modifier and Type	Field and Description
FoldParser.SplitPolicy	LearningClassifierExpression.splitPolicy (ø) Dictates how the training data will be split into subsets for use by cross validation; second argument to cval.
FoldParser.SplitPolicy	LearningClassifierExpression.Clause.splitPolicy Dictates how the training data will be split into subsets for use by cross validation.

Constructors in edu.illinois.cs.cogcomp.lbjava.IR with parameters of type FoldParser.SplitPolicy

Constructor and Description
Clause(int t, ASTNode a, Expression r, Block b, Constant k, FoldParser.SplitPolicy s, Constant al, Constant p, Constant pct, Constant ptt, Constant pt) This constructor is only called by LearningClassifierExpression.Clause.clone().
LearningClassifierExpression(ClassifierExpression l, ClassifierExpression ext, InstanceCreationExpression p, Expression r, InstanceCreationExpression a, Name ln, Block pb, Constant enc, InstanceCreationExpression tp, Expression e, Constant k, LinkedList<ParameterSet> prms, FoldParser.SplitPolicy s, InstanceCreationExpression t, Constant al, Constant pre, Constant pro, Constant pct, Constant ptt, Constant pt, Integer ls, Integer fs, Integer ps, StringBuffer at, boolean cdv) Full constructor.

Uses of FoldParser.SplitPolicy in edu.illinois.cs.cogcomp.lbjava.learn

Methods in edu.illinois.cs.cogcomp.lbjava.learn with parameters of type FoldParser.SplitPolicy

Modifier and Type	Method and Description
double[][]	BatchTrainer.crossValidation(int[] rounds, int k, FoldParser.SplitPolicy splitPolicy, double alpha, TestingMetric metric, boolean statusMessages) Performs cross validation, computing a confidence interval on the performance of the learner after each of the specified rounds of training.
Learner.Parameters	BatchTrainer.tune(Learner.Parameters[] parameters, int[] rounds, int k, FoldParser.SplitPolicy splitPolicy, double alpha, TestingMetric metric) Tune learning algorithm parameters using cross validation.

Uses of FoldParser.SplitPolicy in edu.illinois.cs.cogcomp.lbjava.parse

Fields in edu.illinois.cs.cogcomp.lbjava.parse declared as FoldParser.SplitPolicy

Modifier and Type	Field and Description
static FoldParser.SplitPolicy	FoldParser.SplitPolicy.kth Represents the split policy in which every kth example is part of the same fold.
static FoldParser.SplitPolicy	FoldParser.SplitPolicy.manual Represents the split policy in which the user manually inserts fold separation objects.
static FoldParser.SplitPolicy	FoldParser.SplitPolicy.random Represents the random split policy.
static FoldParser.SplitPolicy	FoldParser.SplitPolicy.sequential Represents the sequential split policy.
protected FoldParser.SplitPolicy	FoldParser.splitPolicy The way in which examples are partitioned into folds.

Constructors in edu.illinois.cs.cogcomp.lbjava.parse with parameters of type FoldParser.SplitPolicy

Constructor and Description
FoldParser(Parser parser, FoldParser.SplitPolicy split, int pivot, boolean f) Constructor for when you know neither how many examples are in the data nor K, i.e., how many folds are in the data.
FoldParser(Parser parser, int K, FoldParser.SplitPolicy split, int pivot, boolean f) Constructor for when you don't know how many examples are in the data.
FoldParser(Parser parser, int K, FoldParser.SplitPolicy split, int pivot, boolean f, int e) Full constructor.