class FineDeducerStep[X[_]] extends AnyRef
Monad based step for deducer, to be used, for example, with Monix Task
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Instance Constructors
- new FineDeducerStep(p: FiniteDistribution[Term], ded: FineDeducer = FineDeducer(), param: Param = FineDeducerStep
.Param())(implicit samp: TangSamples[X])
- p
the initial distribution
- ded
the actual deducer
- param
the parameters for learning
- samp
sampler, ie object to efficiently extract samples
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
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- final def ##: Int
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- AnyRef → Any
- def +(other: String): String
- Implicit
- This member is added by an implicit conversion from FineDeducerStep[X] toany2stringadd[FineDeducerStep[X]] performed by method any2stringadd in scala.Predef.
- Definition Classes
- any2stringadd
- def ->[B](y: B): (FineDeducerStep[X], B)
- Implicit
- This member is added by an implicit conversion from FineDeducerStep[X] toArrowAssoc[FineDeducerStep[X]] performed by method ArrowAssoc in scala.Predef.
- Definition Classes
- ArrowAssoc
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- @inline()
- final def ==(arg0: Any): Boolean
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- final def asInstanceOf[T0]: T0
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- def clone(): AnyRef
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- protected[lang]
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def derFDX(vec: Vector[(FiniteDistribution[Term], Int)]): X[Vector[(FiniteDistribution[Term], (FiniteDistribution[Term], FiniteDistribution[Typ[Term]]))]]
tangent samples forward evolved by derivatives as function of samples.
- def derivativeFD(tang: FiniteDistribution[Term], n: Int): X[FiniteDistribution[Term]]
derivative of evolution sampled, as task
- lazy val derivativeFDs: X[Vector[(FiniteDistribution[Term], (FiniteDistribution[Term], FiniteDistribution[Typ[Term]]))]]
tangent samples forward evolved by derivatives (as task).
- def derivativePD(tang: FiniteDistribution[Term]): ProbabilityDistribution[Term]
derivative of evolution as probability distribution
- def derivativeTypsFD(tang: FiniteDistribution[Term], n: Int): X[FiniteDistribution[Typ[Term]]]
derivative of evolution of types sampled, as task
- def ensuring(cond: (FineDeducerStep[X]) => Boolean, msg: => Any): FineDeducerStep[X]
- Implicit
- This member is added by an implicit conversion from FineDeducerStep[X] toEnsuring[FineDeducerStep[X]] performed by method Ensuring in scala.Predef.
- Definition Classes
- Ensuring
- def ensuring(cond: (FineDeducerStep[X]) => Boolean): FineDeducerStep[X]
- Implicit
- This member is added by an implicit conversion from FineDeducerStep[X] toEnsuring[FineDeducerStep[X]] performed by method Ensuring in scala.Predef.
- Definition Classes
- Ensuring
- def ensuring(cond: Boolean, msg: => Any): FineDeducerStep[X]
- Implicit
- This member is added by an implicit conversion from FineDeducerStep[X] toEnsuring[FineDeducerStep[X]] performed by method Ensuring in scala.Predef.
- Definition Classes
- Ensuring
- def ensuring(cond: Boolean): FineDeducerStep[X]
- Implicit
- This member is added by an implicit conversion from FineDeducerStep[X] toEnsuring[FineDeducerStep[X]] performed by method Ensuring in scala.Predef.
- Definition Classes
- Ensuring
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef → Any
- lazy val feedBacks: X[Vector[(FiniteDistribution[Term], Double)]]
tangents and feedbacks for them
- def formatted(fmtstr: String): String
- Implicit
- This member is added by an implicit conversion from FineDeducerStep[X] toStringFormat[FineDeducerStep[X]] performed by method StringFormat in scala.Predef.
- Definition Classes
- StringFormat
- Annotations
- @inline()
- final def getClass(): Class[_ <: AnyRef]
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- @native() @HotSpotIntrinsicCandidate()
- def hashCode(): Int
- Definition Classes
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- Annotations
- @native() @HotSpotIntrinsicCandidate()
- lazy val init: ProbabilityDistribution[Term]
evolved probability distribution
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def newp(np: FiniteDistribution[Term]): FineDeducerStep[[_]X[_]]
- def next: X[FineDeducerStep[[_]X[_]]]
the next FineDeducerStep
- lazy val nextFD: X[FiniteDistribution[Term]]
task for finite distribution on terms after forward evolution and sampling
- lazy val nextTypFD: X[FiniteDistribution[Typ[Term]]]
task for finite distribution on types after forward evolution and sampling
- final def notify(): Unit
- Definition Classes
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- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
- Definition Classes
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- Annotations
- @native() @HotSpotIntrinsicCandidate()
- val p: FiniteDistribution[Term]
- val param: Param
- implicit val samp: TangSamples[X]
- lazy val succ: X[FineDeducerStep[[_]X[_]]]
the next FineDeducerStep
- lazy val succFD: X[FiniteDistribution[Term]]
the initial distribution for the next step
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- lazy val tangSamples: X[Vector[(FiniteDistribution[Term], Int)]]
tangent sizes for sampling for backward propagation (as task)
- lazy val thmFeedback: X[TheoremFeedback]
task for TheoremFeedback
- def toString(): String
- Definition Classes
- AnyRef → Any
- final def wait(arg0: Long, arg1: Int): Unit
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
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- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
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- @throws(classOf[java.lang.InterruptedException])
Deprecated Value Members
- def finalize(): Unit
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- protected[lang]
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- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated
- def →[B](y: B): (FineDeducerStep[X], B)
- Implicit
- This member is added by an implicit conversion from FineDeducerStep[X] toArrowAssoc[FineDeducerStep[X]] performed by method ArrowAssoc in scala.Predef.
- Definition Classes
- ArrowAssoc
- Annotations
- @deprecated
- Deprecated
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