org.nd4j.autodiff.functions.DifferentialFunction<org.nd4j.autodiff.ArrayField> to org.nd4j.autodiff.functions.DifferentialFunction
No. of Instances - 820
No. of Commits - 1
No. of Projects - {'nd4j'}
Hierarchy/Composition: Composition
Primitive Info: -
NameSpace: Internal -> Internal
Mapping:
- Cascading Type Change (Different)
- TensorMmul<> to TensorMmul
- TensorMmul<> to TensorMmul
- One<> to One
- TensorMmul<> to TensorMmul
- One<> to One
- Rename Method invocation
- lossMCXENT to lossMSLE
- lossMSLE to lossPoisson
- lossPoisson to lossSquaredHinge
- lossMCXENT to lossMSLE
- lossBinaryXENT to lossMCXENT
- lossPoisson to lossSquaredHinge
- lossMSLE to lossPoisson
- lossBinaryXENT to lossMCXENT
- Cascading Type Change (Similar)
- DifferentialFunction<ArrayField> to DifferentialFunction
- DifferentialFunction<ArrayField> to DifferentialFunction
- DifferentialFunction<ArrayField> to DifferentialFunction
- DifferentialFunction<ArrayField> to DifferentialFunction
- DifferentialFunction<ArrayField> to DifferentialFunction
- Add or Remove Method invocation
- exp to mul
- arg().sub(f().mean(arg(),dimensions)) to f().mul(f().one(getResultShape()),2)
- f().one(getResultShape()).mul(inputs) to f().mul(f().one(getResultShape()),2)
- div to mul
- f().one(i_v1.get(0).getResultShape()).mul(f().getInputLength(i_v1.get(0))) to f().mul(f().one(i_v1.get(0).getResultShape()),f().getInputLength(i_v1.get(0)))
- div to div
- arg().sub(f().mean(arg(),dimensions)) to f().sub(f().mul(g,arg()),f().mean(arg(),dimensions))
- f().one(g.getResultShape()).mul(inputs) to f().mul(f().one(g.getResultShape()),inputs)
- div to div
- expandDims(expandDims(func.div(input).mul(func.args()[0]),axes[0]),axes[1]) to expandDims(expandDims(mul(div(func,input),func.args()[0]),axes[0]),axes[1])
- expandDims(func.div(input).mul(func.args()[0]),axes[0]) to expandDims(mul(div(func,input),func.args()[0]),axes[0])
- i_v.get(0) to g
- f().one(getResultShape()).mul(f().getInputLength(i_v1.get(0))) to f().mul(f().one(getResultShape()),f().getInputLength(i_v1.get(0)))
- div to div
- Update Anonymous class
- { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossKLD(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossKLD"; } @Override public List<DifferentialFunction<ArrayField>> diff( List<DifferentialFunction<ArrayField>> i_v1){ return null; } } to { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossKLD(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossKLD"; } @Override public List<DifferentialFunction> diff( List<DifferentialFunction> i_v1){ return null; } }
- { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossMCXENT(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossMCXENT"; } @Override public List<DifferentialFunction<ArrayField>> diff( List<DifferentialFunction<ArrayField>> i_v1){ return null; } } to { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossMSLE(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossMSLE"; } @Override public List<DifferentialFunction> diff( List<DifferentialFunction> i_v1){ return null; } }
- { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossCosineSimilarity(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossCosineSimilarity"; } @Override public List<DifferentialFunction<ArrayField>> diff( List<DifferentialFunction<ArrayField>> i_v1){ return null; } } to { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossCosineSimilarity(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossCosineSimilarity"; } @Override public List<DifferentialFunction> diff( List<DifferentialFunction> i_v1){ return null; } }
- { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossHinge(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossHinge"; } @Override public List<DifferentialFunction<ArrayField>> diff( List<DifferentialFunction<ArrayField>> i_v1){ return null; } } to { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossHinge(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossHinge"; } @Override public List<DifferentialFunction> diff( List<DifferentialFunction> i_v1){ return null; } }
- { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossMAPE(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossMAPE"; } @Override public List<DifferentialFunction<ArrayField>> diff( List<DifferentialFunction<ArrayField>> i_v1){ return null; } } to { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossMAPE(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossMAPE"; } @Override public List<DifferentialFunction> diff( List<DifferentialFunction> i_v1){ return null; } }
- { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossPoisson(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossPoisson"; } @Override public List<DifferentialFunction<ArrayField>> diff( List<DifferentialFunction<ArrayField>> i_v1){ return null; } } to { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossSquaredHinge(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossSquaredHinge"; } @Override public List<DifferentialFunction> diff( List<DifferentialFunction> i_v1){ return null; } }
- { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossMSLE(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossMSLE"; } @Override public List<DifferentialFunction<ArrayField>> diff( List<DifferentialFunction<ArrayField>> i_v1){ return null; } } to { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossPoisson(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossPoisson"; } @Override public List<DifferentialFunction> diff( List<DifferentialFunction> i_v1){ return null; } }
- { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossL1(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossL1"; } @Override public List<DifferentialFunction<ArrayField>> diff( List<DifferentialFunction<ArrayField>> i_v1){ return null; } } to { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossL1(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossL1"; } @Override public List<DifferentialFunction> diff( List<DifferentialFunction> i_v1){ return null; } }
- { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossL2(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossL2"; } @Override public List<DifferentialFunction<ArrayField>> diff( List<DifferentialFunction<ArrayField>> i_v1){ return null; } } to { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossL2(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossL2"; } @Override public List<DifferentialFunction> diff( List<DifferentialFunction> i_v1){ return null; } }
- { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossNegativeLogLikelihood(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossNegativeLogLikelihood"; } @Override public List<DifferentialFunction<ArrayField>> diff( List<DifferentialFunction<ArrayField>> i_v1){ return null; } } to { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossNegativeLogLikelihood(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossNegativeLogLikelihood"; } @Override public List<DifferentialFunction> diff( List<DifferentialFunction> i_v1){ return null; } }
- { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossBinaryXENT(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossBinaryXENT"; } @Override public List<DifferentialFunction<ArrayField>> diff( List<DifferentialFunction<ArrayField>> i_v1){ DifferentialFunction<ArrayField> numerator=i_y.sub(iX); DifferentialFunction<ArrayField> denominator=i_y.mul(i_y.rsub(1.0)); DifferentialFunction<ArrayField> dLda=denominator.div(denominator); return null; } } to { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossMCXENT(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossMCXENT"; } @Override public List<DifferentialFunction> diff( List<DifferentialFunction> i_v1){ return null; } }
- { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossMSE(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossMSE"; } @Override public List<DifferentialFunction<ArrayField>> diff( List<DifferentialFunction<ArrayField>> i_v1){ return null; } } to { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossMSE(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossMSE"; } @Override public List<DifferentialFunction> diff( List<DifferentialFunction> i_v1){ return null; } }
- { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossMAE(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossMAE"; } @Override public List<DifferentialFunction<ArrayField>> diff( List<DifferentialFunction<ArrayField>> i_v1){ return null; } } to { @Override public ArrayField doGetValue(){ return sameDiff.getArrayFactory().lossMAE(iX,i_y,dimensions); } @Override public String doGetFormula( List<Variable> variables){ return null; } @Override public String functionName(){ return "lossMAE"; } @Override public List<DifferentialFunction> diff( List<DifferentialFunction> i_v1){ return null; } }
- Rename Variable
- lossMCXENT to lossMSLE
- lossMCXENT to lossMSLE
- lossMCXENT to lossMSLE
- lossPoisson to lossSquaredHinge
- lossPoisson to lossSquaredHinge
- lossPoisson to lossSquaredHinge
- lossMSLE to lossPoisson
- lossMSLE to lossPoisson
- lossMSLE to lossPoisson
- lossBinaryXENT to lossMCXENT
- lossBinaryXENT to lossMCXENT
- lossBinaryXENT to lossMCXENT
- Wrap or Un-wrap
- Convert Class instance creation to method invocation
- Other
- m_x to m_x
- m_x to m_x
- cloner.deepClone(this) to cloner.deepClone(this)