object TensorFlowExprEquations
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 equals(arg0: AnyRef): Boolean
- def equationEvolver(graph: Graph, initState: TermState, equationVec: Vector[Equation], params: TermGenParams, learningRate: Float): TensorFlowExprVarEquations
- final def getClass(): Class[_ <: AnyRef]
- def hashCode(): Int
- final def isInstanceOf[T0]: Boolean
- def matrixCheck(initState: TermState, equationVec: Vector[Equation], params: TermGenParams): Try[Tensor[TFloat32]]
- final def ne(arg0: AnyRef): Boolean
- final def notify(): Unit
- final def notifyAll(): Unit
- def opLookup(v: Operand[TFloat32], sess: Session): Float
- def quickCheck(initState: TermState, equationVec: Vector[Equation], params: TermGenParams, learningRate: Float = 0.1f): Try[Try[Tensor[TFloat32]]]
- final def synchronized[T0](arg0: => T0): T0
- def takeSteps(initState: TermState, equationVec: Vector[Equation], params: TermGenParams, steps: Int, learningRate: Float = 0.1f): Try[FiniteDistribution[Term]]
- def toString(): String
- def tuned(steps: Int, initState: TermState, equationVec: Vector[Equation], params: TermGenParams): Try[(Vector[(Expression, Float)], Float)]
- 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 equals(arg0: AnyRef): Boolean
- def equationEvolver(graph: Graph, initState: TermState, equationVec: Vector[Equation], params: TermGenParams, learningRate: Float): TensorFlowExprVarEquations
- final def getClass(): Class[_ <: AnyRef]
- def hashCode(): Int
- final def isInstanceOf[T0]: Boolean
- def matrixCheck(initState: TermState, equationVec: Vector[Equation], params: TermGenParams): Try[Tensor[TFloat32]]
- final def ne(arg0: AnyRef): Boolean
- final def notify(): Unit
- final def notifyAll(): Unit
- def opLookup(v: Operand[TFloat32], sess: Session): Float
- def quickCheck(initState: TermState, equationVec: Vector[Equation], params: TermGenParams, learningRate: Float = 0.1f): Try[Try[Tensor[TFloat32]]]
- final def synchronized[T0](arg0: => T0): T0
- def takeSteps(initState: TermState, equationVec: Vector[Equation], params: TermGenParams, steps: Int, learningRate: Float = 0.1f): Try[FiniteDistribution[Term]]
- def toString(): String
- def tuned(steps: Int, initState: TermState, equationVec: Vector[Equation], params: TermGenParams): Try[(Vector[(Expression, Float)], Float)]
- final def wait(arg0: Long, arg1: Int): Unit
- final def wait(arg0: Long): Unit
- final def wait(): Unit
- def finalize(): Unit