Class ConfusionMatrix
- java.lang.Object
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- org.nd4j.autodiff.functions.DifferentialFunction
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- org.nd4j.linalg.api.ops.DynamicCustomOp
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- org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
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- All Implemented Interfaces:
CustomOp
public class ConfusionMatrix extends DynamicCustomOp
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Nested Class Summary
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Nested classes/interfaces inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp
DynamicCustomOp.DynamicCustomOpsBuilder
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Field Summary
Fields Modifier and Type Field Description static DataType
DEFAULT_DTYPE
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Fields inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp
axis, bArguments, dArguments, iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, sArguments, tArguments
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Fields inherited from class org.nd4j.autodiff.functions.DifferentialFunction
dimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue
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Constructor Summary
Constructors Constructor Description ConfusionMatrix()
ConfusionMatrix(@NonNull INDArray labels, @NonNull INDArray predicted, int numClasses)
ConfusionMatrix(@NonNull INDArray labels, @NonNull INDArray predicted, @NonNull DataType dataType)
ConfusionMatrix(@NonNull INDArray labels, @NonNull INDArray predicted, Integer numClasses, @NonNull DataType dataType)
ConfusionMatrix(@NonNull INDArray labels, @NonNull INDArray predicted, INDArray weights)
ConfusionMatrix(@NonNull INDArray labels, @NonNull INDArray predicted, INDArray weights, Integer numClasses)
ConfusionMatrix(@NonNull INDArray labels, @NonNull INDArray predicted, INDArray weights, Integer numClasses, @NonNull DataType dataType)
ConfusionMatrix(SameDiff sameDiff, SDVariable labels, SDVariable pred, Integer numClasses)
ConfusionMatrix(SameDiff sameDiff, SDVariable labels, SDVariable pred, Integer numClasses, SDVariable weights)
ConfusionMatrix(SameDiff sameDiff, SDVariable labels, SDVariable pred, SDVariable weights)
ConfusionMatrix(SameDiff sameDiff, SDVariable labels, SDVariable pred, SDVariable weights, Integer numClasses)
ConfusionMatrix(SameDiff sameDiff, SDVariable labels, SDVariable pred, SDVariable weights, DataType dataType)
ConfusionMatrix(SameDiff sameDiff, SDVariable labels, SDVariable pred, DataType dataType)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description List<DataType>
calculateOutputDataTypes(List<DataType> dataTypes)
Calculate the data types for the output arrays.List<SDVariable>
doDiff(List<SDVariable> i_v)
The actual implementation for automatic differentiation.void
initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
Initialize the function from the givenNodeDef
String
opName()
This method returns op opName as stringString
tensorflowName()
The opName of this function tensorflow-
Methods inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp
addBArgument, addDArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addOutputsToOp, addSArgument, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, calculateOutputShape, clearArrays, computeArrays, configureFromArguments, dArgs, generateFake, generateFake, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getSArgument, getTArgument, getValue, iArgs, initFromOnnx, inputArguments, mappingsForFunction, numBArguments, numDArguments, numIArguments, numInputArguments, numOutputArguments, numSArguments, numTArguments, onnxName, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, propertiesForFunction, removeIArgument, removeInputArgument, removeOutputArgument, removeSArgument, removeTArgument, sArgs, setInputArgument, setInputArguments, setOutputArgument, setPropertiesForFunction, setValueFor, tArgs, toString, wrapFilterNull, wrapOrNull, wrapOrNull
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Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, configureWithSameDiff, diff, dup, equals, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getNumOutputs, getStringFromProperty, hashCode, isConfigProperties, larg, onnxNames, outputs, outputVariable, outputVariablesNames, rarg, replaceArg, setInstanceId, tensorflowNames
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Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
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Methods inherited from interface org.nd4j.linalg.api.ops.CustomOp
isInplaceCall
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Field Detail
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DEFAULT_DTYPE
public static final DataType DEFAULT_DTYPE
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Constructor Detail
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ConfusionMatrix
public ConfusionMatrix()
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ConfusionMatrix
public ConfusionMatrix(@NonNull @NonNull INDArray labels, @NonNull @NonNull INDArray predicted, @NonNull @NonNull DataType dataType)
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ConfusionMatrix
public ConfusionMatrix(@NonNull @NonNull INDArray labels, @NonNull @NonNull INDArray predicted, int numClasses)
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ConfusionMatrix
public ConfusionMatrix(@NonNull @NonNull INDArray labels, @NonNull @NonNull INDArray predicted, INDArray weights)
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ConfusionMatrix
public ConfusionMatrix(@NonNull @NonNull INDArray labels, @NonNull @NonNull INDArray predicted, INDArray weights, Integer numClasses)
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ConfusionMatrix
public ConfusionMatrix(@NonNull @NonNull INDArray labels, @NonNull @NonNull INDArray predicted, Integer numClasses, @NonNull @NonNull DataType dataType)
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ConfusionMatrix
public ConfusionMatrix(@NonNull @NonNull INDArray labels, @NonNull @NonNull INDArray predicted, INDArray weights, Integer numClasses, @NonNull @NonNull DataType dataType)
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ConfusionMatrix
public ConfusionMatrix(SameDiff sameDiff, SDVariable labels, SDVariable pred, SDVariable weights, DataType dataType)
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ConfusionMatrix
public ConfusionMatrix(SameDiff sameDiff, SDVariable labels, SDVariable pred, DataType dataType)
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ConfusionMatrix
public ConfusionMatrix(SameDiff sameDiff, SDVariable labels, SDVariable pred, SDVariable weights)
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ConfusionMatrix
public ConfusionMatrix(SameDiff sameDiff, SDVariable labels, SDVariable pred, Integer numClasses)
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ConfusionMatrix
public ConfusionMatrix(SameDiff sameDiff, SDVariable labels, SDVariable pred, SDVariable weights, Integer numClasses)
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ConfusionMatrix
public ConfusionMatrix(SameDiff sameDiff, SDVariable labels, SDVariable pred, Integer numClasses, SDVariable weights)
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Method Detail
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initFromTensorFlow
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
Description copied from class:DifferentialFunction
Initialize the function from the givenNodeDef
- Overrides:
initFromTensorFlow
in classDynamicCustomOp
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opName
public String opName()
Description copied from class:DynamicCustomOp
This method returns op opName as string- Specified by:
opName
in interfaceCustomOp
- Overrides:
opName
in classDynamicCustomOp
- Returns:
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tensorflowName
public String tensorflowName()
Description copied from class:DifferentialFunction
The opName of this function tensorflow- Overrides:
tensorflowName
in classDynamicCustomOp
- Returns:
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doDiff
public List<SDVariable> doDiff(List<SDVariable> i_v)
Description copied from class:DifferentialFunction
The actual implementation for automatic differentiation.- Overrides:
doDiff
in classDynamicCustomOp
- Returns:
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calculateOutputDataTypes
public List<DataType> calculateOutputDataTypes(List<DataType> dataTypes)
Description copied from class:DifferentialFunction
Calculate the data types for the output arrays. Though datatypes can also be inferred fromDifferentialFunction.calculateOutputShape()
, this method differs in that it does not require the input arrays to be populated. This is important as it allows us to do greedy datatype inference for the entire net - even if arrays are not available.- Overrides:
calculateOutputDataTypes
in classDifferentialFunction
- Parameters:
dataTypes
- The data types of the inputs- Returns:
- The data types of the outputs
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