IsotonicRegression
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Solves a batch of isotonic regression problems.
Public Methods
static
<U extends Number, T extends Number>
IsotonicRegression<U>
|
create( Scope scope, Operand<T> input, Class<U> outputDtype)
Factory method to create a class wrapping a new IsotonicRegression operation.
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static
<T extends Number>
IsotonicRegression<Float>
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create( Scope scope, Operand<T> input)
Factory method to create a class wrapping a new IsotonicRegression operation using default output types.
|
Output<U>
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output()
A (batch_size, dim)-tensor holding the per-batch element solutions.
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Output<Integer>
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segments()
An int32 (batch_size, dim)-tensor with the segments.
|
Inherited Methods
From class
java.lang.Object
boolean
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equals(Object arg0)
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final
Class<?>
|
getClass()
|
int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Public Methods
Factory method to create a class wrapping a new IsotonicRegression operation.
Parameters
scope |
current scope |
input |
A (batch_size, dim)-tensor holding a batch of inputs. |
outputDtype |
Dtype of output. |
Returns
- a new instance of IsotonicRegression
Factory method to create a class wrapping a new IsotonicRegression operation using default output types.
Parameters
scope |
current scope |
input |
A (batch_size, dim)-tensor holding a batch of inputs. |
Returns
- a new instance of IsotonicRegression
public
Output<U>
output
()
A (batch_size, dim)-tensor holding the per-batch element solutions.
public
Output<Integer>
segments
()
An int32 (batch_size, dim)-tensor with the segments.
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Last updated 2022-09-07 UTC.
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