object HiddenMarkov
The HiddenMarkov companion object provides a convenience method for testing.
Linear Supertypes
Ordering
- Alphabetic
- By Inheritance
Inherited
- HiddenMarkov
- AnyRef
- Any
- Hide All
- Show All
Visibility
- Public
- Protected
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- def allState(hmm: HiddenMarkov, xall: Strings, xval: Array[VectorI]): Unit
For the 'hmm' model, print all state sequences and their joint probability P(x, y).
For the 'hmm' model, print all state sequences and their joint probability P(x, y).
- hmm
the Hidden Markov Model
- xall
the strings for all state sequences
- xval
the values for all state sequences
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef → Any
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- def test(hmm: HiddenMarkov): Unit
Test the 'hmm' model, printing out the unscaled and scaled versions of the alpha and beta matrices, and the gamma matrix calculated from unscaled and scaled matrices.
Test the 'hmm' model, printing out the unscaled and scaled versions of the alpha and beta matrices, and the gamma matrix calculated from unscaled and scaled matrices.
- hmm
the Hidden Markov Model
- def toString(): String
- Definition Classes
- AnyRef → Any
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
Deprecated Value Members
- def finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated