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EpHL2c@H=82&EG8c@H=2tH28-t"xc@H=1E:H=1YE8c@H=1tH18-t"c@H=1EH=1HEH} d@H=]1KE8c@H=C1>tH318-t"Hd@H=1E_H=1nHEH} d@H=0E"0d@H=0E0;E}'0HHHEH4d@}ucfEH,H='t2HMHUuHEHxfxd@~HMHUuhe@_}u]fEH,H='t/HMHUuHEHxfxe@HEHHMUԋE)ÐUHH H}HuHUHMHuH} UHSH8H}HuUHMEH}tH}tH}u HE_HEH8u3H]'HHEH8u HE-HEHH}IEЃ}t{EHcHEH;rGH]HEH0HHEH8HHEH8u HEHEHUHHHHUEHcHEЈ HEE;EsEHcHEH;rDH]HEH0HHEH8苵HHEH8u HETHEHUHHHHMEHcHHE}u}u EHHEHEHEHEHEH8[ÐH\$Ld$L%Hl$H1OHL)HH9sHAHH9rH$Hl$Ld$HfffffffUHhH-aH)SHHXHTHHuH[]?UHSHrPHHfffffHHHuH[ÐHoHrun-time error...%s ...now exiting to system... @??' @a or b too big, or MAXIT too small in betacf?KH9?v !>Bad x in routine betai??@allocation 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. *** 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 -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. Line %d: Fail to allocate memory. 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(). 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. -C6?(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. Exit. E@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@B@?B@B@B@B@B@C@C@B@B@B@B@D@PB@B@D@The data is not ready yet: data point is NULLThe data is not ready yet: nsample=%d nvar=%dLine %d: At least one of the input vectors is invalid. ?NULL points in copyvecdata()! ?;0$j|$LRtL<dr|f,TԶ|(TطD0l 4P\j$L2t(L<dl zPx @ $$ @FAC $L @AC $t@AC $@AC $@VAC $@ZAC $0@VAC $<@IAC $d@VAC $&@VAC $|@AC G$@AC G$@AC G$,@AC $T@ AC $|@AC G$@AAC $, @+AC $X @+AC $ @'AC $D @+AC $l @+AC $!@XAC $\!@XAC $!@XAC $  "@3AC $4@"@3AC $\t"@AC $#@OAC $V*@~AC $*@AC $X+@AC J$$BG@sAC $L3@;AC G$tT7@AC $9@AC J$A@AC $G@hAC $I@=AC $<\I@PAC $dJ@$AC $L@7AC E$N@CAC $LR@AC $ T@,AC $,8T@AC EzRx pVJP <9ARL by ` @ V@@@@@ 6 tPP@@ oP@oo@rP @ @ @ @ @ @ @ @ @ @. @> @N @^ @n @~ @ @ @ @ @ @ @rP v S@V6+WUL;8@͍4sS?־ht:i:n:m:s:v:GCC: (GNU) 3.4.5 20051201 (Red Hat 3.4.5-2)GCC: (GNU) 3.4.5 20051201 (Red Hat 3.4.5-2)GCC: (GNU) 3.4.5 20051201 (Red Hat 3.4.5-2)GCC: (GNU) 3.4.5 20051201 (Red Hat 3.4.5-2)GCC: (GNU) 3.4.5 20051201 (Red Hat 3.4.5-2)GCC: (GNU) 3.4.5 20051201 (Red Hat 3.4.5-2)GCC: (GNU) 3.4.5 20051201 (Red Hat 3.4.5-2).symtab.strtab.shstrtab.interp.note.ABI-tag.hash.dynsym.dynstr.gnu.version.gnu.version_r.rela.dyn.rela.plt.init.text.fini.rodata.eh_frame_hdr.eh_frame.ctors.dtors.jcr.dynamic.got.got.plt.data.bss.comment@#@ 1@@@7 @?@6Go@<ToP@Ppc@mP@P w` @` rx @x p} @ JV@VV@Vi@ik@krPrrPrrPrrPrtPttPtuPu` uPuu;wH0C x@@@@@@@P@@ P@ ` @ x @ @ V@V@i@k@rPrPrPrPtPtPuPuP  @rP*rP8rPEuPIuPU @ @k @wrPrPr@rP V@uP0vPvPvPvP vP(vP0vP4vP8vP&