object ExtractPopularImages
Extract most popular images from an RDD.
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- val LIMIT_DENOMINATOR: Int
- val LIMIT_MAXIMUM: Int
- val MIN_HEIGHT: Int
- val MIN_WIDTH: Int
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def
apply(records: RDD[ArchiveRecord], limit: Int, sc: SparkContext, minWidth: Int = MIN_WIDTH, minHeight: Int = MIN_HEIGHT): RDD[String]
Extracts the n most popular images from an RDD within a given size range.
Extracts the n most popular images from an RDD within a given size range.
- limit
number of most popular images in the output
- sc
SparkContext
- minWidth
of image
- minHeight
of image
-
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final
def
##(): Int
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final
def
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- val LIMIT_DENOMINATOR: Int
- val LIMIT_MAXIMUM: Int
- val MIN_HEIGHT: Int
- val MIN_WIDTH: Int
-
def
apply(records: RDD[ArchiveRecord], limit: Int, sc: SparkContext, minWidth: Int = MIN_WIDTH, minHeight: Int = MIN_HEIGHT): RDD[String]
Extracts the n most popular images from an RDD within a given size range.
Extracts the n most popular images from an RDD within a given size range.
- limit
number of most popular images in the output
- sc
SparkContext
- minWidth
of image
- minHeight
of image
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
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- @throws( ... ) @native() @HotSpotIntrinsicCandidate()
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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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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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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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
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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final
def
wait(): Unit
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def
finalize(): Unit
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- Deprecated
(Since version ) see corresponding Javadoc for more information.