Computes MOPAC kernel matrices for prediction and saves to file

cmf_comp_mopac_kernels_pred(
  train_fname = "ligands-train.mol2",                            # Training set file name
  train_mopac_res_fname = "ligands-mopac-res-train.RData",       # File with MOPAC results for the training set
  pred_fname = "ligands-pred.mol2",                              # Prediction set file name
  pred_mopac_res_fname = "ligands-mopac-res-pred.RData",         # File with MOPAC results for the test set
  mopac_kernels_pred_fname = "ligands-mopac-kernels-pred.RData", # Computed kernels file name
  print_comp_kernels = TRUE                                     # Verbose computation of kernels
)

Arguments

train_fname

"ligands-train.mol2"

train_mopac_res_fname

"ligands-mopac-res-train.RData"

pred_fname

"ligands-pred.mol2"

pred_mopac_res_fname

"ligands-mopac-res-pred.RData"

mopac_kernels_pred_fname

"ligands-mopac-kernels-pred.RData",

print_comp_kernels

TRUE

Details

Value

References

Note

See also

Examples

##---- Should be DIRECTLY executable !! ---- ##-- ==> Define data, use random, ##-- or do help(data=index) for the standard data sets. ## The function is currently defined as cmf_comp_mopac_kernels_pred <- function ( train_fname = "ligands-train.mol2", # Training set file name train_mopac_res_fname = "ligands-mopac-res-train.RData", # File with MOPAC results for the training set pred_fname = "ligands-pred.mol2", # Prediction set file name pred_mopac_res_fname = "ligands-mopac-res-pred.RData", # File with MOPAC results for the test set mopac_kernels_pred_fname = "ligands-mopac-kernels-pred.RData", # Computed kernels file name print_comp_kernels = TRUE, # Verbose computation of kernels ... ) { }