object ModelTracer
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def
addUidCols(pipeline: Pipeline, df: DataFrame): DataFrame
- pipeline
the pipeline to extract the models from
- df
the dataframe to use to add the new uid columns
- returns
the input dataframe df with extra columns that represents models uids and the timestamp that model was created
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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def
wait(arg0: Long): Unit
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
- Definition Classes
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-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
addUidCols(pipeline: Pipeline, df: DataFrame): DataFrame
- pipeline
the pipeline to extract the models from
- df
the dataframe to use to add the new uid columns
- returns
the input dataframe df with extra columns that represents models uids and the timestamp that model was created
-
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
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def
equals(arg0: Any): Boolean
- Definition Classes
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-
def
finalize(): Unit
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final
def
getClass(): Class[_]
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- @native()
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def
hashCode(): Int
- Definition Classes
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- Annotations
- @native()
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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-
final
def
notify(): Unit
- Definition Classes
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final
def
notifyAll(): Unit
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
- Definition Classes
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-
final
def
wait(): Unit
- Definition Classes
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- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
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- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
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- @throws( ... ) @native()