edu.stanford.nlp.optimization
Enum AbstractStochasticCachingDiffFunction.SamplingMethod
java.lang.Object
java.lang.Enum<AbstractStochasticCachingDiffFunction.SamplingMethod>
edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction.SamplingMethod
- All Implemented Interfaces:
- Serializable, Comparable<AbstractStochasticCachingDiffFunction.SamplingMethod>
- Enclosing class:
- AbstractStochasticCachingDiffFunction
public static enum AbstractStochasticCachingDiffFunction.SamplingMethod
- extends Enum<AbstractStochasticCachingDiffFunction.SamplingMethod>
NoneSpecified
public static final AbstractStochasticCachingDiffFunction.SamplingMethod NoneSpecified
RandomWithReplacment
public static final AbstractStochasticCachingDiffFunction.SamplingMethod RandomWithReplacment
RandomWithOutReplacment
public static final AbstractStochasticCachingDiffFunction.SamplingMethod RandomWithOutReplacment
Ordered
public static final AbstractStochasticCachingDiffFunction.SamplingMethod Ordered
values
public static final AbstractStochasticCachingDiffFunction.SamplingMethod[] values()
- Returns an array containing the constants of this enum type, in
the order they're declared. This method may be used to iterate
over the constants as follows:
for(AbstractStochasticCachingDiffFunction.SamplingMethod c : AbstractStochasticCachingDiffFunction.SamplingMethod.values())
System.out.println(c);
- Returns:
- an array containing the constants of this enum type, in
the order they're declared
valueOf
public static AbstractStochasticCachingDiffFunction.SamplingMethod valueOf(String name)
- Returns the enum constant of this type with the specified name.
The string must match exactly an identifier used to declare an
enum constant in this type. (Extraneous whitespace characters are
not permitted.)
- Parameters:
name
- the name of the enum constant to be returned.
- Returns:
- the enum constant with the specified name
- Throws:
IllegalArgumentException
- if this enum type has no constant
with the specified name
Stanford NLP Group