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Ni.labview.activation.code.crack



 


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build.GCC import com.intel.daal.algorithms.optimization.optimization_method_Dnnc import com.intel.daal.algorithms.optimization.objective_function_method_Dnnc import com.intel.daal.algorithms.optimization.objective_function_method_Dnnc_1 import com.intel.daal.algorithms.optimization.objective_function_method_Dnnc_2 GCC.algorithmName := 'Dnnc' GCC.trainingMethod := ObjectiveFunctionMethod.dnnc GCC.trainingMethod.parameter.penalty = OptimizationMethod.D2 GCC.trainingMethod.gradient = OptimizationMethod.Direct model.input.add(DataSource.create('D:/tryDNNC.csv', 'csv')) model.output.add(Method.create('ObjectiveFunctionMethodDnnc', ObjectiveFunctionMethod.dnnc)) model.constraint.add(C1(cols = 'C1', rows = 'C1', type = ValueType.defaultDense)) model.constraint.add(C2(cols = 'C2', rows = 'C2', type = ValueType.defaultDense)) model.constraint.add(C3(cols = 'C3', rows = 'C3', type = ValueType.defaultDense)) model.constraint.add(C1.min0) model.constraint.add(C3.max>0) Optimization.method = OptimizationMethod.Dnnc Optimization.method.parameter.eta = 0.001 Optimization.solver = OptimizationSolver.solver_Dorling.solver() Optimization.solver.problemType = OptimizationProblemType.general Optimization.optimizer.objectiveFcn.fnId = 1 Optimization.optimizer.objectiveFcn.addTerm(C1.min

 

 


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Ni.labview.activation.code.crack
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