object RepresentationLearner
Value Members
- final def !=(arg0: Any): Boolean
- final def ##: Int
- final def ==(arg0: Any): Boolean
- final def asInstanceOf[T0]: T0
- def clone(): AnyRef
- final def eq(arg0: AnyRef): Boolean
- def eqnsToRep(numPaths: Int, length: Int, coeffWeights: (Coeff[_]) => Double = (_) => 1, backWeight: Double = 0.8, vectorLength: Int = 150, minWordFrequency: Int = 5, batchSize: Int = 250): PostResponse[HoTTPostWeb, ID]
- def equals(arg0: AnyRef): Boolean
- def equationNodesBackSampled(eqs: Set[EquationNode], numPaths: Int, length: Int, coeffWeights: (Coeff[_]) => Double = (_) => 1, vectorLength: Int = 150, minWordFrequency: Int = 5, batchSize: Int = 250): RepresentationLearner[Variable[_]]
- def equationNodesBranchedSampled(eqs: Set[EquationNode], numPaths: Int, length: Int, vectorLength: Int = 150, minWordFrequency: Int = 5, batchSize: Int = 250): RepresentationLearner[Variable[_]]
- def equationNodesSampled(eqs: Set[EquationNode], numPaths: Int, length: Int, coeffWeights: (Coeff[_]) => Double = (_) => 1, backWeight: Double = 0.8, vectorLength: Int = 150, minWordFrequency: Int = 5, batchSize: Int = 250): RepresentationLearner[Variable[_]]
- final def getClass(): Class[_ <: AnyRef]
- def hashCode(): Int
- final def isInstanceOf[T0]: Boolean
- final def ne(arg0: AnyRef): Boolean
- final def notify(): Unit
- final def notifyAll(): Unit
- final def synchronized[T0](arg0: => T0): T0
- def toString(): String
- final def wait(arg0: Long, arg1: Int): Unit
- final def wait(arg0: Long): Unit
- final def wait(): Unit
Deprecated Value Members
- def finalize(): Unit
Inherited from AnyRef
Value Members
- final def !=(arg0: Any): Boolean
- final def ##: Int
- final def ==(arg0: Any): Boolean
- def clone(): AnyRef
- final def eq(arg0: AnyRef): Boolean
- def equals(arg0: AnyRef): Boolean
- final def getClass(): Class[_ <: AnyRef]
- def hashCode(): Int
- final def ne(arg0: AnyRef): Boolean
- final def notify(): Unit
- final def notifyAll(): Unit
- final def synchronized[T0](arg0: => T0): T0
- def toString(): String
- final def wait(arg0: Long, arg1: Int): Unit
- final def wait(arg0: Long): Unit
- final def wait(): Unit
- def finalize(): Unit
Inherited from Any
Value Members
- final def asInstanceOf[T0]: T0
- final def isInstanceOf[T0]: Boolean
Ungrouped
- final def !=(arg0: Any): Boolean
- final def ##: Int
- final def ==(arg0: Any): Boolean
- final def asInstanceOf[T0]: T0
- def clone(): AnyRef
- final def eq(arg0: AnyRef): Boolean
- def eqnsToRep(numPaths: Int, length: Int, coeffWeights: (Coeff[_]) => Double = (_) => 1, backWeight: Double = 0.8, vectorLength: Int = 150, minWordFrequency: Int = 5, batchSize: Int = 250): PostResponse[HoTTPostWeb, ID]
- def equals(arg0: AnyRef): Boolean
- def equationNodesBackSampled(eqs: Set[EquationNode], numPaths: Int, length: Int, coeffWeights: (Coeff[_]) => Double = (_) => 1, vectorLength: Int = 150, minWordFrequency: Int = 5, batchSize: Int = 250): RepresentationLearner[Variable[_]]
- def equationNodesBranchedSampled(eqs: Set[EquationNode], numPaths: Int, length: Int, vectorLength: Int = 150, minWordFrequency: Int = 5, batchSize: Int = 250): RepresentationLearner[Variable[_]]
- def equationNodesSampled(eqs: Set[EquationNode], numPaths: Int, length: Int, coeffWeights: (Coeff[_]) => Double = (_) => 1, backWeight: Double = 0.8, vectorLength: Int = 150, minWordFrequency: Int = 5, batchSize: Int = 250): RepresentationLearner[Variable[_]]
- final def getClass(): Class[_ <: AnyRef]
- def hashCode(): Int
- final def isInstanceOf[T0]: Boolean
- final def ne(arg0: AnyRef): Boolean
- final def notify(): Unit
- final def notifyAll(): Unit
- final def synchronized[T0](arg0: => T0): T0
- def toString(): String
- final def wait(arg0: Long, arg1: Int): Unit
- final def wait(arg0: Long): Unit
- final def wait(): Unit
- def finalize(): Unit