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Examples of scripts
The LibDEEP package contains a directory LibDEEP/examples, in which you can find some useful examples to work with our deep learning techniques.
Usage: RBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
Usage: GaussianRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: variance value for gaussian
Usage: DropoutRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
Usage: DropoutGaussianRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: variance value for gaussian
Usage: DropconnectRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
Usage: DRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
Usage: DropoutDRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
Usage: GaussianDRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: variance value for gaussian
Usage: DropoutGaussianDRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: variance value for gaussian
Usage: DBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9> <P10> <P11>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
P10: number of DBM layers
P11: output parameters file name
Usage: TDBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9> <P10> <P11> <P12>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
P10: number of DBM layers
P11: temperature
P12: output parameters file name
Usage: DropoutDBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9> <P10> <P11>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
P10: number of DBM layers
P11: output parameters file name
Usage: DropconnectDBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9> <P10>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
P10: number of DBM layers
P11: output parameters file name
Usage: DBN <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9> <P10>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
P10: number of DBN layers
Usage: TDBN <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9> <P10> <P11> <P12>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
P10: number of DBN layers
P11: temperature
P12: output parameters file name
Usage: DropoutDBN <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9> <P10>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
P10: number of DBN layers
Usage: DropconnectDBN <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9> <P10>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
P10: number of DBN layers
Usage: EPNN <P1> <P2> <P3> <P4> <P5> <P6>
P1: training dataset in the OPF file format
P2: evaluating dataset in the OPF file format (only required in learning phase)
P3: testing dataset in the OPF file format
P4: output results file name
P5: input parameters file name
P6: best parameters output file name
Usage: Linear_Regression <P1> <P2>
P1: training dataset in the OPF file format
P2: learning rate
Usage: Logistic_Regression <P1> <P2> <P3>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: learning rate
Usage: PCA <P1> <P2> <P3>
P1: input file in the OPF file format
P2: output file
P3: percentage of the final number of dimensions
Usage: ANN-RBF <P1> <P2> <P3> <P4>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: 1 for OPF clustering or 2 for K-Means clustering
P4: kmax value for OPF or number of clusters (k) for K-Means