sealed trait VectorExpression extends AnyRef
Vector Expression.
Linear Supertypes
Known Subclasses
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Inherited
- VectorExpression
- AnyRef
- Any
Implicitly
- by vectorExpression2Array
- by any2stringadd
- by StringFormat
- by Ensuring
- by ArrowAssoc
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Abstract Value Members
Concrete Value Members
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final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
- def *(b: Double): VectorMulValue
- def *(b: VectorExpression): VectorMulVector
- def +(b: Double): VectorAddValue
- def +(b: VectorExpression): VectorAddVector
- def -(b: Double): VectorSubValue
- def -(b: VectorExpression): VectorSubVector
-
def
->[B](y: B): (VectorExpression, B)
- Implicit
- This member is added by an implicit conversion from VectorExpression to ArrowAssoc[VectorExpression] performed by method ArrowAssoc in scala.Predef.
- Definition Classes
- ArrowAssoc
- Annotations
- @inline()
- def /(b: Double): VectorDivValue
- def /(b: VectorExpression): VectorDivVector
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
def
ensuring(cond: (VectorExpression) ⇒ Boolean, msg: ⇒ Any): VectorExpression
- Implicit
- This member is added by an implicit conversion from VectorExpression to Ensuring[VectorExpression] performed by method Ensuring in scala.Predef.
- Definition Classes
- Ensuring
-
def
ensuring(cond: (VectorExpression) ⇒ Boolean): VectorExpression
- Implicit
- This member is added by an implicit conversion from VectorExpression to Ensuring[VectorExpression] performed by method Ensuring in scala.Predef.
- Definition Classes
- Ensuring
-
def
ensuring(cond: Boolean, msg: ⇒ Any): VectorExpression
- Implicit
- This member is added by an implicit conversion from VectorExpression to Ensuring[VectorExpression] performed by method Ensuring in scala.Predef.
- Definition Classes
- Ensuring
-
def
ensuring(cond: Boolean): VectorExpression
- Implicit
- This member is added by an implicit conversion from VectorExpression to Ensuring[VectorExpression] performed by method Ensuring in scala.Predef.
- Definition Classes
- Ensuring
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
def
formatted(fmtstr: String): String
- Implicit
- This member is added by an implicit conversion from VectorExpression to StringFormat[VectorExpression] performed by method StringFormat in scala.Predef.
- Definition Classes
- StringFormat
- Annotations
- @inline()
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
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()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- VectorExpression → AnyRef → Any
-
def
update(i: Int, x: Double): Unit
- Implicit
- This member is added by an implicit conversion from VectorExpression to Array[Double] performed by method vectorExpression2Array in smile.math.
- Definition Classes
- Array
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
def
→[B](y: B): (VectorExpression, B)
- Implicit
- This member is added by an implicit conversion from VectorExpression to ArrowAssoc[VectorExpression] performed by method ArrowAssoc in scala.Predef.
- Definition Classes
- ArrowAssoc
Shadowed Implicit Value Members
-
def
+(other: String): String
- Implicit
- This member is added by an implicit conversion from VectorExpression to any2stringadd[VectorExpression] performed by method any2stringadd in scala.Predef.
- Shadowing
- This implicitly inherited member is shadowed by one or more members in this class.
To access this member you can use a type ascription:(vectorExpression: any2stringadd[VectorExpression]).+(other)
- Definition Classes
- any2stringadd
-
def
apply(i: Int): Double
- Implicit
- This member is added by an implicit conversion from VectorExpression to Array[Double] performed by method vectorExpression2Array in smile.math.
- Shadowing
- This implicitly inherited member is shadowed by one or more members in this class.
To access this member you can use a type ascription:(vectorExpression: Array[Double]).apply(i)
- Definition Classes
- Array
-
def
clone(): Array[Double]
- Implicit
- This member is added by an implicit conversion from VectorExpression to Array[Double] performed by method vectorExpression2Array in smile.math.
- Shadowing
- This implicitly inherited member is shadowed by one or more members in this class.
To access this member you can use a type ascription:(vectorExpression: Array[Double]).clone()
- Definition Classes
- Array → AnyRef
-
def
length: Int
- Implicit
- This member is added by an implicit conversion from VectorExpression to Array[Double] performed by method vectorExpression2Array in smile.math.
- Shadowing
- This implicitly inherited member is shadowed by one or more members in this class.
To access this member you can use a type ascription:(vectorExpression: Array[Double]).length
- Definition Classes
- Array
Smile (Statistical Machine Intelligence and Learning Engine) is a fast and comprehensive machine learning, NLP, linear algebra, graph, interpolation, and visualization system in Java and Scala. With advanced data structures and algorithms, Smile delivers state-of-art performance.
Smile covers every aspect of machine learning, including classification, regression, clustering, association rule mining, feature selection, manifold learning, multidimensional scaling, genetic algorithms, missing value imputation, efficient nearest neighbor search, etc.