BoostedTreesQuantileStreamResourceFlush

public final class BoostedTreesQuantileStreamResourceFlush

Flush the summaries for a quantile stream resource.

An op that flushes the summaries for a quantile stream resource.

Nested Classes

class

BoostedTreesQuantileStreamResourceFlush.Options

Optional attributes for BoostedTreesQuantileStreamResourceFlush

Public Methods

static BoostedTreesQuantileStreamResourceFlush	create(Scope scope, Operand<?> quantileStreamResourceHandle, Operand<Long> numBuckets, Options... options) Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceFlush operation.
static BoostedTreesQuantileStreamResourceFlush.Options	generateQuantiles(Boolean generateQuantiles)

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying Operation
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

Public Methods

public static BoostedTreesQuantileStreamResourceFlush create (Scope scope, Operand<?> quantileStreamResourceHandle, Operand<Long> numBuckets, Options... options)

Factory method to create a class wrapping a new BoostedTreesQuantileStreamResourceFlush operation.

Parameters

scope	current scope
quantileStreamResourceHandle	resource handle referring to a QuantileStreamResource.
numBuckets	int; approximate number of buckets unless using generate_quantiles.
options	carries optional attributes values

Returns

• a new instance of BoostedTreesQuantileStreamResourceFlush

public static BoostedTreesQuantileStreamResourceFlush.Options generateQuantiles (Boolean generateQuantiles)

Parameters

generateQuantiles	bool; If True, the output will be the num_quantiles for each stream where the ith entry is the ith quantile of the input with an approximation error of epsilon. Duplicate values may be present. If False, the output will be the points in the histogram that we got which roughly translates to 1/epsilon boundaries and without any duplicates. Default to False.