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|¦BŸ}h¦=k|¦…‹,$}‰¦N€ |¦BŸ}h¦=k|¦…‹,}‰¦N€ |¦BŸ}h¦=k|¦…‹+ì}‰¦N€ |¦BŸ}h¦=k|¦…‹+Ð}‰¦N€ |¦BŸ}h¦=k|¦…‹+´}‰¦N€ |¦BŸ}h¦=k|¦…‹+˜}‰¦N€ |¦BŸ}h¦=k|¦…‹+|}‰¦N€ |¦BŸ}h¦=k|¦…‹+`}‰¦N€ |¦BŸ}h¦=k|¦…‹+D}‰¦N€ |¦BŸ}h¦=k|¦…‹+(}‰¦N€ |¦BŸ}h¦=k|¦…‹+ }‰¦N€ |¦BŸ}h¦=k|¦…‹*ð}‰¦N€ |¦BŸ}h¦=k|¦…‹*Ô}‰¦N€ |¦BŸ}h¦=k|¦…‹*¸}‰¦N€ |¦BŸ}h¦=k|¦…‹*œ}‰¦N€ |¦BŸ}h¦=k|¦…‹*€}‰¦N€ |¦BŸ}h¦=k|¦…‹*d}‰¦N€ |¦BŸ}h¦=k|¦…‹*H}‰¦N€ |¦BŸ}h¦=k|¦…‹*,}‰¦N€ |¦BŸ}h¦=k|¦…‹*}‰¦N€ |¦BŸ}h¦=k|¦…‹)ô}‰¦N€ |¦BŸ}h¦=k|¦…‹)Ø}‰¦N€ |¦BŸ}h¦=k|¦…‹)¼}‰¦N€ |¦BŸ}h¦=k|¦…‹) }‰¦N€ |¦BŸ}h¦=k|¦…‹)„}‰¦N€ |¦BŸ}h¦=k|¦…‹)h}‰¦N€ |¦BŸ}h¦=k|¦…‹)L}‰¦N€ |¦BŸ}h¦=k|¦…‹)0}‰¦N€ |¦BŸ}h¦=k|¦…‹)}‰¦N€ __dyld_mod_term_funcs__dyld_make_delayed_module_initializer_calls__dyld_image_count__dyld_get_image_name__dyld_get_image_header__dyld_NSLookupSymbolInImage__dyld_NSAddressOfSymbollibobjc__objcInitThe kernel support for the dynamic linker is not present to run this program. run-time error...%s ...now exiting to system... a or b too big, or MAXIT too small in betacfBad x in routine betaiallocation failure in vector()allocation failure in ivector()allocation failure in cvector()allocation failure in lvector()allocation failure in dvector()allocation failure 1 in matrix()allocation failure 2 in matrix()allocation failure in submatrix()allocation failure in convert_matrix()allocation failure 1 in f3tensor()allocation failure 2 in f3tensor()allocation failure 3 in f3tensor()NSTACK too small in sort2.The data is not ready yet: data point is NULLThe data is not ready yet: nsample=%d nvar=%dLine %d: Fail to allocate memory. *** This program and the respective minimum Redundancy Maximum Relevance (mRMR) algorithm were developed by Hanchuan Peng for the paper "Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy," Hanchuan Peng, Fuhui Long, and Chris Ding, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 8, pp.1226-1238, 2005. Usage: mrmr_osx -i -t [optional arguments] -i .CSV file containing M rows and N columns, row - sample, column - variable/attribute. -t a float number of the discretization threshold; non-specifying this parameter means no discretizaton (i.e. data is already integer); 0 to make binarization. -n a natural number, default is 50. -m either "MID" or "MIQ" (Capital case), default is MID. -s a natural number, default is 1000. Note that if you don't have or don't need big memory, set this value small, as this program will use this value to pre-allocate memory in data file reading. -v a natural number, default is 10000. Note that if you don't have or don't need big memory, set this value small, as this program will use this value to pre-allocate memory in data file reading. [-h] print this message. rtLine %d: Fail to open file. Line %d: Fail to allocate memory of %d bytes, -- if you don't have or don't need big memory, better set the #MaxVariables and #MaxSamples to a smaller value . Line %d: Fail to allocate memory . Maximum number of variable %d is attained! Line %d: Read a different number of field: The DATA has error!!! Got illeagal parameter in compute_mutualinfo(). NULL points in copyvecdata()! Line %d: At least one of the input vectors is invalid. Line %d: The input data is NULL. Line %d: The input variable indexes are invalid (out of range). Line %d: The input data nfea is negative. Target classification variable (#%d column in the input data) has name=%s entropy score=%5.3f *** MaxRel features *** Order Fea Name Score %d %d %s %5.3f *** mRMR features *** Undefined selection method=%d. Use MID instead. (null)Found illegal or NULL parameter for the option -t. Found illegal or NULL parameter for the option -i. MIDMIQFound invalid method name %s, use MID instead. Found illegal or NULL parameter for the option -s. Found illegal #sample which must > 0. Found illegal or NULL parameter for the option -v. Found illegal #variable which must > 0. Unknown option `-%c'. Stop parsing arguments list. Left off at %s You have specified parameters: threshold=mu+/-%4.2f*sigma #fea=%d selection method=MID #maxVar=%d #maxSample=%d You have specified parameters: no discretization, #fea=%d selection method=MID #maxVar=%d #maxSample=%d You have specified parameters: threshold=mu+/-%4.2f*sigma #fea=%d selection method=MIQ #maxVar=%d #maxSample=%d You have specified parameters: no discretization, #fea=%d selection method=MIQ #maxVar=%d #maxSample=%d Invalid select_method. 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