MZêˇˇ∏@Ä∫¥	Õ!∏LÕ!This program cannot be run in DOS mode.

$PELÏdAR‡Z  Ä@ ¿ OÄ8† d H.textXX Z `.rsrc8Ä\@@.reloc†`@Bˇ% @@ Z N  _CorExeMainmscoree.dll@ HL3EH30Mrp}}#ø}
~
}(
(
}
#ˇˇˇˇˇˇÔ}
*rp*(
*Fr#prGp(
*0n(
o	
o


rpo
åo
å(

rRp(
rYp(
reprsp(
(
(
r≠p(
(
*0s
o
*0¢{
r0 p˛s
o
rR p˛s
o
rx p˛s
o
r¢ p˛s
o+rº p˛s
o+r÷ p˛s
o
rÍ p˛s
o
&*0^{
9{
(
t}
81{
9{
(
}
8r
!p(
}
( 
*0°Á{@s!
}"
s!
}#
(

{$
#={	9
{%
9
{:
(&
('
r>!pç%{
o(
å¢%{
o)
å¢(*
o+
{$
#Cq{{$
s,
{
o-
o.
%}o/
o0
o.
}(&
('
rr!pç%{$
å ¢(*
o+
{	9Î{
#ø;{t!{
s1
8{t!{s2

{
	o3
o4
%}o/
	o5
o4
}{$
#ø;2(&
('
rê!pç%{
å ¢(*
o+
8-(&
('
rŒ!pç%{å¢(*
o+
{{{6
{7
(8
(
{9
9˜s}
{
u%:rÏ!p(:
{
u%}{{;
o<
{
(=
{>
C#{
{>
{?
{9
(@
8jsA
{
:{
oB
{C
93rã"p{
{(D
(E
{oF
å+(

r∑"po(E
{oF
å+(

s}}{oF
X}8a˛sG
(H
{I
(J
oK
{j{9
n]j@s}}{C
9&˛sG
(H
{L
(J
oK
}˛ sG
(H
{M
(J
oK
{{
oN
oO
loK
r∑"p{(E
{å(

{
{P
{(Q
{R
9E{
{{R
r€"p{å(S
{"
{#
{{(T
{U
#Cö{{
oN
oO
l(V
Y{U
Cn(&
('
rÂ"pç%{{
oN
oO
å¢%(V
å ¢(*
o+
(&
r˚"p{åoW
8h{{
oN
oO
l{
C (&
rà#p{åoW
8${X}{j{?
n>ã˝ˇˇ{?
{9
^9/{
{{R
{"
{#
{{(T
8Ü{
r“#p(X
(
{
:ì{>
C!(Y
o


(E
(

8f{9-rp{
(Z
(&
r÷#p('
([
oW
˛sG
(H
	r$p	å-r“#p(S
(
9ä{\
9˛sG
(H
	8˛sG
(H
	r8$p	å-(X
(
{C
93rV$p(
˛sG
(H
	rb$p	å-(X
(
{R
93(Y
˛sG
(H
	(&
rx$p	å-(X
o+
(Y
{
{P
(]
(^
*0ˇ(_
{\
90{
u3: rö$p{
o`
oa
(b
(:
{c
:{
:rc%p(:
{%
:@{$
#@,{>
:!{P
:{	:rÊ%p(:
{9{R
:r˚&p(:
{R
9{%
:rê'p(:
{9
9V{%
:K{$
#@7{>
:,{R
:!{	:{C
:rÏ'p(:
{	9¢{	('
(d
}
›&›{
#ø@7{	('
(e
}›&rS)p{	(b
(:
›{>
Cr*p(:
{$
#?Cr≠*p(:
*A4ë¨B\w0vs!
}{\
˛}˛"sG
(H
(&
('
rN+pç%(J
å ¢(*
o+
(&
rz+p(f
å7oW
*b{
{{(D
*f{
{>
{C
(g
*"}*"}*"}	*"}*"}*:˛˛}*:˛˛}*2{
oB
*v{
{(h
(E
(
*Jo(E
(
*z{
{(D
(E
(
*¬{
{{R
{"
{#
{{(T
*(i
*(j
*(j
*F{{ok
*(j
*07rã"p{{
{{(D
{{å(

*J{o}*(j
*0°{({{
u9:{{	9I{{;8{{{c
{{"
{{#
(l
}8ç{{:|{{9:{{c
{{"
{{#
{{(m

8'{{c
{{"
{{#
(n
}8{{@|{{9:{{c
{{"
{{#
{{(m

8'{{c
{{"
{{#
(n
}8t{{@7{{{c
{{"
{{#
(o
}8,{{@{{{c
(p
}{{
{{o/
{{%
9o{{98{{
u99I{{;8{{{%
{{"
{{#
(l
}8ƒ{{@7{{{%
{{"
{{#
(o
}8|{{@ {{{%
(p
}8K{{{%
{{"
{{#
{{{{˛(m
}{{
u@9 {{
t@{{oq
*BSJBv4.0.30319pT	#~ƒ	P#Stringsê+#US§AX#Blob¸D#GUIDW¢		
L"{	5

6Wgäí≠œíœ>GjGù≠≈K·íÔ˚
/<GXiàKïi⁄GÍG"-AMwå°∏G¡G¸GG+:≈GÑK…œ˚íK g:œ_fmvKÀí≈g)4DO®gƒ—G˘K
"œPgii~iìi§iØi√›g˙Gû	G%GBGaGzGìGÆG…ÁÁ":,K\mpmÑmòm!±ÑøÑ…a”a„∂Û∂	à	å	∂1	(K	
•
Ùª
˘≈
˝»
ª
˘⁄
‚
	ª
˘˚
aª
˘Ï ÜÑH!ƒ	d	P!ƒ%êX!ƒ2l!ƒw	òË!ëá	¢"ƒë	¥"ƒ… #ƒp+ƒòˇT-ƒ?ÿ-ƒ1÷Ù-ƒ÷.Åπ	‰.ÅŒ	‰(.Å·	‰4.ÅÙ	‹@.Å
‚	L.Å
‰
\.Å-
‰l.Å@
|.ÅJ
ú.ÅT
∞.Å^
–.Åh
/År
/ÜÑ/ÜÑ/É”
0/ÜÑ8/ÉÌ
|/ÉÙ
ê/ÜÑò/É}	å	å	Æ	Ã	Ã	Ã	Ã	Ã	Ã	Ã		
Ñ)‡˙!(9%+23AY9Aw>IáCQìHQ£HaµLaµSaøSi–XyˆaÅkp'vÑzâ8ÜÑzâ8ò$Ñzâ8òx∂±õπ†ø¨∂i≥√…πÑÛ……
(∂a7Õ—b“~◊ì◊y±€…µ‰˘ÑÈ˘‘,ﬁ˘Á˘ÛÑÑ‘4ﬁ˘ÛO/_/!o4zCî‰öC)£FaµKØC¿C1‡P<ÑAa91dLp)SwaÑzq{{áÑiõå<8ê¨ÑªÑDﬁ˘Lﬁúÿ∂±Ë´Ì∂y˝≥Å∫(â@……µ€y˝·aµÁëjÎvÚa±Ë¯ãòˇŸ…©‹y±Â∂Û	Û±'1+¡05?ŸÑ)HŸé?·éNÈé^Òéi˘éw}Ñ‰!Ñ‰)Ñ‰1Ñ‰9Ñ‰AÑ‰IÑ‰QÑYÑaÑ.ì.õ+.£+.´+.≥+.ª+.√+.À1c”PÉ”P£”P√”P¿”P‡”P”P ”P@”P`”PÄ”P†”P¿”P‡”P”P ”P@”P@€Pù®≠Œ
ç
Ëú
ÏÄë™ˇ'Zñ£Ä
óÜU
óÖU#
óÉUK“1•5±mscorlibDateTimeSystemMinValueCommandLineProgramCommandLineProgram`1MyMediaLiteRatingPredictorMyMediaLite.RatingPrediction.ctorIList`1System.Collections.GenericRatingPredictionEvaluationResultsMyMediaLite.Evalget_DefaultMeasuresToShoweval_measurescutoffICollection`1Ratingsget_MeasuresShowVersionAssemblySystem.ReflectionGetEntryAssemblyAssemblyNameGetNameVersionget_Versionget_MajorInt32get_MinorConsoleWriteLineWriteExtensionsListRecommendersIEnumerable`1StringJoinEnvironmentExitRunOptionSetMono.OptionsoptionsAction`1AddRatingTypeMyMediaLite.DataRatingFileFormatMyMediaLite.IOload_model_fileIRecommenderModelLoadrecommendermethodCreateRatingPredictorSetupRecommenderIdentityMappingIMappinguser_mappingitem_mappingtest_ratiotest_fileTextWriterSystem.IOget_ErrorCultureInfoSystem.Globalizationget_InvariantCultureObjectget_MinRatingSingleget_MaxRatingIFormatProviderFormatIRatingsRatingsSimpleSplitget_Trainget_Itemset_Ratingsget_TestDoubleITimedRatingsRatingsChronologicalSplitIBooleanMatrixMyMediaLite.DataTypeuser_attributesitem_attributesStatisticsfind_iterIIterativeModelAbortnum_iterset_NumItercross_validationmax_iterRatingsCrossValidationDoIterativeCrossValidationList`1RecommenderTraincompute_fitIRatingPredictorEvaluateEvaluationResultsRenderget_NumIterUInt32ActionTimeSpanWrapMeasureTimetraining_time_statsget_TotalSecondsfit_time_statseval_time_statsDictionary`2save_model_fileSaveprediction_fileConcatWritePredictionsepsilonSystem.CoreEnumerableSystem.LinqMinNelderMeadMyMediaLite.HyperParameterFindMinimumToStringonline_evalDisplayStatsCheckParametersIIncrementalRatingPredictorTypeGetTypeMemberInfoget_Nametraining_fileParseMemoryget_UsageInt64DoCrossValidationRatingsOnlineEvaluateOnlineLoadDataIterateTimeAwareRatingPredictorTestRatingFileFormatTimedRatingDataReadStaticRatingDataRatingDataMovieLensRatingDataMyMediaLite.IO.KDDCup2011ITransductiveRatingPredictorIDataSetset_AdditionalFeedbackrating_prediction<Module>rating_prediction.exeRatingPrediction<Run>c__AnonStorey0<Run>c__AnonStorey1<Run>c__AnonStorey2<LoadData>c__AnonStorey3training_datatest_datasearch_hptest_no_ratingsprediction_lineprediction_headerfile_formatrating_typechronological_splitchronological_split_ratiochronological_split_timeget_DefaultMeasureUsageexit_codeMainargsSetupOptionsFormatExceptionextra_args<SetupOptions>m__0v<SetupOptions>m__1<SetupOptions>m__2<SetupOptions>m__3<SetupOptions>m__4<SetupOptions>m__5<SetupOptions>m__6<Run>m__A<Run>m__B<Run>m__C<Run>m__D<Run>m__E<LoadData>__BaseCallProxy0DefaultMeasureMeasuresiterative_recommender<>f__thisit<>f__ref$0<>m__7results<>f__ref$1<>m__8<>m__9static_data<>m__FAssemblyTitleAttributeAssemblyDescriptionAttributeAssemblyConfigurationAttributeAssemblyCompanyAttributeAssemblyProductAttributeAssemblyCopyrightAttributeAssemblyTrademarkAttributeRuntimeCompatibilityAttributeSystem.Runtime.CompilerServicesCompilerGeneratedAttributeDebuggerHiddenAttributeSystem.Diagnostics{0}	{1}	{2}	RMSE#Rating PredictionÄ∑Copyright (C) 2011, 2012, 2013 Zeno Gantner
Copyright (C) 2010 Zeno Gantner, Steffen RendleQMyMediaLite rating prediction {0}.{1:00}Å
 usage:  rating_prediction --training-file=FILE --recommender=METHOD [OPTIONS]

  recommenders (plus options and their defaults):   - 
   - 9MyMediaLite.RatingPredictionùÅ  method ARGUMENTS have the form name=value

  general OPTIONS:
   --recommender=METHOD             set recommender method (default BiasedMatrixFactorization)
   --recommender-options=OPTIONS    use OPTIONS as recommender options
   --help                           display this usage information and exit
   --version                        display version information and exit
   --random-seed=N                  initialize random number generator with N
   --rating-type=float|byte         store ratings internally as floats (default) or bytes
   --no-id-mapping                  do not map user and item IDs to internal IDs, keep original IDs

  files:
   --training-file=FILE                   read training data from FILE
   --test-file=FILE                       read test data from FILE
   --test-no-ratings                      test data contains no rating column
                                          (needs both --prediction-file=FILE and --test-file=FILE)
   --file-format=movielens_1m|kddcup_2011|ignore_first_line|default
   --data-dir=DIR                         load all files from DIR
   --user-attributes=FILE                 file with user attribute information, 1 tuple per line
   --item-attributes=FILE                 file with item attribute information, 1 tuple per line
   --user-relations=FILE                  file with user relation information, 1 tuple per line
   --item-relations=FILE                  file with item relation information, 1 tuple per line
   --save-model=FILE                      save computed model to FILE
   --load-model=FILE                      load model from FILE
   --save-user-mapping=FILE               save user ID mapping to FILE
   --save-item-mapping=FILE               save item ID mapping to FILE
   --load-user-mapping=FILE               load user ID mapping from FILE
   --load-item-mapping=FILE               load item ID mapping from FILE

  prediction options:
   --prediction-file=FILE         write the rating predictions to FILE
   --prediction-line=FORMAT       format of the prediction line; {0}, {1}, {2} refer to user ID,
                                  item ID, and predicted rating; default is {0}\t{1}\t{2};
   --prediction-header=LINE       print LINE to the first line of the prediction file

  evaluation options:
   --cross-validation=K                perform k-fold cross-validation on the training data
   --test-ratio=NUM                    use a ratio of NUM of the training data for evaluation (simple split)
   --chronological-split=NUM|DATETIME  use the last ratio of NUM of the training data ratings for evaluation,
                                       or use the ratings from DATETIME on for evaluation (requires time information
                                       in the training data)
   --online-evaluation                 perform online evaluation (use every tested rating for incremental training)
   --search-hp                         search for good hyperparameter values (experimental feature)
   --compute-fit                       display fit on training data
   --measures=LIST                     comma- or space-separated list of evaluation measures to display (default is RMSE, MAE, CBD)
                                       use --help-measures to get a list of all available measures

  options for finding the right number of iterations (iterative methods)
   --find-iter=N                  give out statistics every N iterations
   --num-iter=N                   start measuring at N iterations
   --max-iter=N                   perform at most N iterations
   --epsilon=NUM                  abort iterations if main evaluation measure is more than best result plus NUM
   --cutoff=NUM                   abort if main evaluation measure is above NUM
!prediction-line=%prediction-header=)chronological-split=rating-type=file-format=search-hptest-no-ratings3BiasedMatrixFactorization3ratings range: [{0}, {1}]test ratio {0}=test ratio (chronological) {0}split time {0}ÄùOnly iterative recommenders (interface IIterativeModel) support --find-iter=N.+fit {0} iteration {1}#{0} iteration {1}	-it-{0} >> {1}ÄãReached convergence on training/validation data after {0} iterations.IReached cutoff after {0} iterations. Aestimated quality (on split) {0} training_time  testing_time 
fit  fit_time !prediction_time Ä«Recommender {0} does not support incremental updates, which are necessary for an online experiment.ÄÅPlease provide either --training-file=FILE or --load-model=FILE.ÅPlease provide either --test-file=FILE, --test-ratio=NUM, --cross-validation=K, --chronological-split=NUM|DATETIME, or --save-model=FILE.Äì--test-no-ratings needs both --prediction-file=FILE and --test-file=FILE.[--prediction-file=FILE needs --test-file=FILEÅe--find-iter=N must be combined with either --test-file=FILE, --test-ratio=NUM, --cross-validation=K, --chronological-split=NUM|DATETIME, --compute-fit, or --prediction-file=FILE.ÄØCould not interpret argument of --chronological-split as number or date and time: '{0}'Äß--cross-validation=K and --chronological-split=NUM|DATETIME are mutually exclusive.Äü--test-ratio=NUM and --chronological-split=NUM|DATETIME are mutually exclusive.+loading_time {0:0.##}memory {0}∑z\V4‡â 	

 ! % ) 	9 E I
 EIIM0EI
MIQ
QU
aei u  y
 y y y ÄÖ
 ÄÖ	 ÄÖÄÖÄçyyÄçÄç	 		
			Äù
Ä•yy Ä© 	ÄµÄ±Äù
 
  ÄΩUUyaa
9
∑z\V4‡â 

 uU  Ä— 
uu
	
		Ä•yÄÖaaÄÈyaaMÄÈ
yaa
ÄÖaaÄÈy ÅyQM  ) }yÄâÄù
ÄµÄµÄ©
Äµ Ä© M Q((ÄïÄ©yÄÈRatingPredictionTWrapNonExceptionThrowsÇ√ÖM˚yAìalOIÄ0ÄHXÄ‡‡4VS_VERSION_INFOΩÔ˛
ÜUó?DVarFileInfo$Translation∞@StringFileInfo007f04b0(ProductVersion $CompanyName $ProductName (LegalCopyright DInternalNamerating_predictionLFileDescriptionRatingPredictionComments @FileVersion3.10.5015.21894TOriginalFilenamerating_prediction.exe,LegalTrademarks  0