public class BinomialDistribution extends BaseRandomOp
extraArgs, extraArgz, n, numProcessed, passThrough, x, xVertexId, y, yVertexId, z, zVertexId
dimensions, inPlace, sameDiff, scalarValue
Constructor and Description |
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BinomialDistribution() |
BinomialDistribution(INDArray z,
INDArray probabilities)
This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray
|
BinomialDistribution(INDArray z,
int trials,
double probability)
This op fills Z with binomial distribution over given trials with single given probability for all trials
|
BinomialDistribution(INDArray z,
int trials,
INDArray probabilities)
This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray
|
Modifier and Type | Method and Description |
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List<SDVariable> |
doDiff(List<SDVariable> f1)
The actual implementation for automatic differentiation.
|
boolean |
isExecSpecial()
Whether the executioner
needs to do a special call or not
|
String |
onnxName()
The opName of this function in onnx
|
String |
opName()
The name of the op
|
int |
opNum()
The number of the op (mainly for old legacy XYZ ops
like
Op ) |
Map<String,Object> |
propertiesForFunction()
Returns the properties for a given function
|
String |
tensorflowName()
The opName of this function tensorflow
|
calculateOutputShape, opType
equals, exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, getOpType, hashCode, init, initFromOnnx, initFromTensorFlow, isPassThrough, n, numProcessed, outputVariables, setN, setX, setY, setZ, toCustomOp, toString, x, y, z
arg, args, asProperties, attributeAdaptersForFunction, configFieldName, diff, dup, f, getValue, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariables, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, init, isPassThrough, n, numProcessed, setExtraArgs, setN, setX, setY, setZ, toCustomOp, x, y, z
public BinomialDistribution()
public BinomialDistribution(@NonNull INDArray z, int trials, double probability)
z
- trials
- probability
- public BinomialDistribution(@NonNull INDArray z, int trials, @NonNull INDArray probabilities)
z
- trials
- probabilities
- array with probability value for each trialpublic Map<String,Object> propertiesForFunction()
DifferentialFunction
propertiesForFunction
in class DifferentialFunction
public int opNum()
DifferentialFunction
Op
)opNum
in interface Op
opNum
in class DifferentialFunction
public String opName()
DifferentialFunction
opName
in interface Op
opName
in class DifferentialFunction
public boolean isExecSpecial()
Op
isExecSpecial
in interface Op
isExecSpecial
in class BaseOp
public String onnxName()
DifferentialFunction
onnxName
in class DifferentialFunction
public String tensorflowName()
DifferentialFunction
tensorflowName
in class DifferentialFunction
public List<SDVariable> doDiff(List<SDVariable> f1)
DifferentialFunction
doDiff
in class DifferentialFunction
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