Enum TimeSeriesMode
- java.lang.Object
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- java.lang.Enum<TimeSeriesMode>
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- com.bayesserver.learning.parameters.TimeSeriesMode
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- All Implemented Interfaces:
Serializable
,Comparable<TimeSeriesMode>
public enum TimeSeriesMode extends Enum<TimeSeriesMode>
Determines how time series distributions are learned.
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Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method Description static TimeSeriesMode
valueOf(String name)
Returns the enum constant of this type with the specified name.static TimeSeriesMode[]
values()
Returns an array containing the constants of this enum type, in the order they are declared.
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Enum Constant Detail
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NONE
public static final TimeSeriesMode NONE
Not applicable. i.e. we are not learning a time series model (network with temporal nodes).
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ROLLING
public static final TimeSeriesMode ROLLING
All temporal distribution are updated at every time point.
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PINNED
public static final TimeSeriesMode PINNED
At each time point, lower order distributions are only updated until a higher order distribution can be used.
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Method Detail
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values
public static TimeSeriesMode[] values()
Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:for (TimeSeriesMode c : TimeSeriesMode.values()) System.out.println(c);
- Returns:
- an array containing the constants of this enum type, in the order they are declared
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valueOf
public static TimeSeriesMode 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 nameNullPointerException
- if the argument is null
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