abstract class MLReader[T] extends BaseReadWrite
Abstract class for utility classes that can load ML instances.
- T
ML instance type
- Annotations
- @Since( "1.6.0" )
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- BaseReadWrite
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Instance Constructors
- new MLReader()
Abstract Value Members
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abstract
def
load(path: String): T
Loads the ML component from the input path.
Loads the ML component from the input path.
- Annotations
- @Since( "1.6.0" )
Concrete Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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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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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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def
notify(): Unit
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def
notifyAll(): Unit
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final
def
sc: SparkContext
Returns the underlying
SparkContext.Returns the underlying
SparkContext.- Attributes
- protected
- Definition Classes
- BaseReadWrite
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def
session(sparkSession: SparkSession): MLReader.this.type
Sets the Spark Session to use for saving/loading.
Sets the Spark Session to use for saving/loading.
- Definition Classes
- MLReader → BaseReadWrite
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final
def
sparkSession: SparkSession
Returns the user-specified Spark Session or the default.
Returns the user-specified Spark Session or the default.
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- protected
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- BaseReadWrite
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final
def
sqlContext: SQLContext
Returns the user-specified SQL context or the default.
Returns the user-specified SQL context or the default.
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- protected
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- BaseReadWrite
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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def
wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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