object LinearRegression extends DefaultParamsReadable[LinearRegression] with Serializable
- Annotations
- @Since( "1.6.0" )
- Alphabetic
- By Inheritance
- LinearRegression
- Serializable
- Serializable
- DefaultParamsReadable
- MLReadable
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
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
-
val
MAX_FEATURES_FOR_NORMAL_SOLVER: Int
When using
LinearRegression.solver
== "normal", the solver must limit the number of features to at most this number.When using
LinearRegression.solver
== "normal", the solver must limit the number of features to at most this number. The entire covariance matrix XTX will be collected to the driver. This limit helps prevent memory overflow errors.- Annotations
- @Since( "2.1.0" )
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
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] )
-
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
-
def
load(path: String): LinearRegression
Reads an ML instance from the input path, a shortcut of
read.load(path)
.Reads an ML instance from the input path, a shortcut of
read.load(path)
.- Definition Classes
- LinearRegression → MLReadable
- Annotations
- @Since( "1.6.0" )
- Note
Implementing classes should override this to be Java-friendly.
-
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()
-
def
read: MLReader[LinearRegression]
Returns an
MLReader
instance for this class.Returns an
MLReader
instance for this class.- Definition Classes
- DefaultParamsReadable → MLReadable
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
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()