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Graphical User In β-release Graphical User Interface User Manual

1. ii 34 Fig 46 The list of output files after the XOR problem training experiment i 34 Fig 47 The training error scatter plot downloaded from the experiment output list x axis is the training cycle Y AXIS is the training mean square error iii 35 Fig 48 The operation to move the trained network file in the Workspace input file list 36 Fig 49 the configuration for the Run use case in the XOR problem ii 36 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program Fig 50 the output of the Run use case experiment in the XOR problem iii DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program 1 Introduction he present document is part of the DAMEWARE Web Application Suite B release user side documentation package The release arises from the very primer version of the web application a release which has been made available to public domain since July 2010 During last five months the developing team has spent much efforts to fix bugs satisfy testing user requirements suggestions and to improve the application features by integrating several other data mining models always c
2. N rc s gt AA NS 5 store results lt lt 9 5 store results List of input files configuration files output files Fig 7 The right sequence to configure and execute an experiment workflow So far the basic role of a workspace is to make easier to the user the organization of experiments and related input output files For example the user could envelope in a same workspace all experiments related to a particular functionality domain although using different models It is always possible to move copy files from experiment to workspace list in order to re use a same dataset file for multiple experiment sessions i e to perform a workflow After access the user must select the active workspace If no workspaces are present the user must create a new one otherwise the user must select one of the listed workspace The user can always create a new workspace by pressing the button as in Fig 8 Workspace Manager fee oy New Workspace Ca i Yorkspace Fig 8 the button New Workspace at left corner of workspace manager window 12 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program As consequence the user must assign a name to the new workspace by filling in the form field as in Fig 9 Hew Workspace x Name OK Cancel Fig 9 the form
3. Title Code The Use of Multiple Measurements in Taxonomic Problems in Annals of Eugenics 7 p 179 188 Neural Networks University Press GB for Pattern Recognition Oxford Neural Computation Data Mining Introductory and Advanced Topics Prentice Hall Mining the SDSS archive I Photometric Redshifts in the Nearby Universe Astrophysical Journal Vol 663 pp 752 764 The Fourth Paradigm Microsoft research Redmond Washington USA Artificial Intelligence A modern Approach Second ed Prentice Hall Pattern Classification A Wiley Interscience Publication New York Wiley Neural Networks A comprehensive Foundation Second Edition Prentice Hall A practical application of simulated annealing to clustering Pattern Recognition 25 4 401 412 Probabilistic connectionist approaches for the design of good communication codes Proc of the ISCNN Japan Approximations by superpositions of sigmoidal functions Mathematics of Control Signals and Systems 2 303 3 14 no 4 pp 303 314 Program Author Ronald Fisher Bishop C M Bishop C M Svensen M amp Williams C K I Dunham M D Abrusco R et al Hey T et al Russell S Norvig P Duda R O Hart P E Stork D G Haykin S Donald E Brown D E Huntley C L Babu G P Murty M N Cybenko G Tab 3 Reference Documents DAMEWARE Beta Release GUI User Manual This document contains proprietary in
4. a x S TRAIN_20101201175955_netTrain mip B m v My Experiments Workspace myfirstWS Experiment Status Last Access 4 myfirstexp ended 2010 12 01 e gt Download F gt Addins File Type Description Move trained network file A z e Si TRAIN_20101201175955 csv jpeg jpeg Output 3 description into input list for Run use case E TRAIN_20101201175955 csv csv Output 4 description B TRAIN_20101201175955 log txt Output 5 description B TRAIN_20101201175955_netTmp mip mip Output 6 description B Z 7 TRAIN_20101201175955_netTrain mip mip Output 7 description Fig 48 The operation to move the trained network file in the Workspace input file list DAta Mining amp Exploration Logout Me x Dele x F x lt x X Delete x To do this the output weight file must become an input file in the workspace file list as already explained in section 3 5 4 otherwise it cannot be used as input of Run use case experiment Fig 48 Also the workspace currently active hosting the experiment we are going to do must contain a proper input file for Run cases 1 e without target columns inside So far the second step is to populate the workspace file list with trained network and Run compliant input files and then to configure and execute the Run experiment see Fig 49 DAME Application App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v RESOURCE MANAGER File Editor Up
5. Doo columnSubset_dataset coluenSori optAmibSiruci i 1 gt opt_and_struct csv csv 2010 11 30 Workspace myfirstWS__ Last Access 2010 11 30 p Piano di gestione di pdf mi Tdistretti doc gt O Mostra tuttii download 2 Fig 21 The Column Ordering operation new file created 21 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved 3 5 2 3 Sort Rows by Column DAta Mining amp Exploration Program This dataset operation permits to select an arbitrary column between those contained in the original data file as sorting reference index for the ordering of all file rows The result is the creation of a new file of the same type and with the same extension of the original file named as rowSort_ lt user selected name gt i e with specific prefix rowSort Details of the simple procedure are reported in Fig 22 Fig 23 and Fig 24 DAME Application RESOURCE MANAGER File Editor Workspace myfirstwWS File opt_and_struct_csv lt Operation Feature Selection Columns Ordering Sort Rows by Column Column Shuffle Row Shuffle Split by Rows Dataset Scale Single Column Scale 2 Piano di gestione di pdf W App Manuals v Model Manuals Description It creates a new file containing only the selected columns It creates a new file containing the new ordering o
6. The user has to pay attention to use input data in one of these supported formats in order to launch experiments in a right way Other data types are permitted but not as input to experiments For example log jpeg or not supported text files are generated as output of experiments but only supported types can be eventually re used as input data for experiments There is an exception to this rule for file format with extension ARFF Attribute Relation File Format These files can be uploaded and also edited by dataset editor by using the type CSV But their extension ARFF is considered unsupported by the system so you can use any of the dataset editor options to change the extension automatically assigned as CSV Then you can use such files as input for experiments These output file are generally listed in the Experiment Manager sub window that can be verbosely open by the user by selecting any experiment when it is under ended state Other data files are created by dataset creation features a list of operations that can be performed by the user starting from an original data file uploaded in a workspace These data files are automatically generated with a special name as output of any of the manipulation dataset operations available Confused Well don t panic please Let s read carefully next sections 3 5 1 Upload user data As mentioned before after the creation of at least one workspace the
7. American Standard Code for Information Interchange Base of Knowledge Back Propagation Business Logic Layer Cross Entropy Comma Separated Values Data Access Layer DAta Mining amp Exploration Data Access amp Process Layer Data Layer Data Mining Data Mining Model Data Mining Suite Flexible Image Transport System Frontend Layer FrameW ork Global Resource Information Database Graphical User Interface Hardware A amp A KDD IEEE INAF JPEG LAR MDS MLP MSE NN OAC PC PI REDB RIA SDSS SL SW UI URI VO XML DAta Mining amp Exploration Program Meaning Knowledge Discovery in Databases Institute of Electrical and Electronic Engineers Istituto Nazionale di Astrofisica Joint Photographic Experts Group Layered Application Architecture Massive Data Sets Multi Layer Perceptron Mean Square Error Neural Network Osservatorio Astronomico di Capodimonte Personal Computer Principal Investigator Registry amp Database Rich Internet Application Sloan Digital Sky Survey Service Layer Software User Interface Uniform Resource Indicator Virtual Observatory eXtensible Markup Language Tab 2 Abbreviations and acronyms 38 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved Reference amp Applicable Documents ID RI R2 R3 R4 R5 R6 R7 R8 R9 R10 R11 R12
8. MANAGER Configuration Description Output It creates a new file containing only the selected File optAndStruci coke 1 coll Float Name It creates a new file containing the new ordering of 2 col Float columns as specified in the column fields 2 cold Float It creates a new file containing the sorted rows by specifying the column reference index 4 cok Float it creates a new file containing shuffled columns 5 cols Float It creates a new file containing shuffled rows 6 cole Float It creates as many new files as desired each 7 col7 Float containing the specified percentage of rows The 8 cols Float rows distribution can be randomly extracted Use only numerical Dataset 9 cold Double It creates a new file containing all data scaled in the 10 colto Double selected range 1 1 or 0 1 o 11 col11 Double it creates a new file containing a single column data scaled in the selected range 1 1 or 0 1 12 colt2 Short leaving unmodified the other columns in the original order Fig 27 The Row Shuffle operation step 1 App Manuals v Model Manuals v File Editor EJ Cloud Services v Cloud Services v Science Cases Science Cases Workspace Sz New Workspace Rename Workspace X P myfirstWS oO secondWs Fig 28 The Row Shuffle operation the new file created v File Manager Workspace myfirstWS Dow ge Edt File i Upioad Gj Experiment Delete R Er 3
9. columnSort_optAndStruct csv 2010 12 01 x R iE P myfirstWS Ca ie x lt columnSubset dataset csv 2010 11 30 x gt aS fl P seconds ca Er x a fa opt_and_struct csv csv 2010 11 30 x i i rowShuffle_optAndStruct csv 2010 12 01 x rowSort_optAndStruct csv 2010 12 01 x i shuffle_optAndStruct csv 2010 12 01 gt 4 a xorcsv csv 2010 11 30 x V My Experiments Workspace my firstWS Experiment Status Last Access M Delete b piri ended 2010 11 30 x Fig 26 The Column Shuffle operation the new file created DAMEWARE Beta Release GUI User Manual 24 This document contains proprietary information of DAME project Board All Rights Reserved 3 5 2 5 Row Shuffle DAta Mining amp Exploration Program This dataset operation permits to operate a random shuffle of the rows contained in the original data file The result is the creation of a new file of the same type and with the same extension of the original file named as rowShuffle_ lt user selected name gt i e with specific prefix rowShuffle Details of the simple procedure are reported in Fig 27 and Fig 28 DAME Application App Manuals v Model Manuals v RESOURCE MANAGER File Editor Workspace myfirstwS File opt_and_struct_csv lt Operation Feature Selection Columns Ordering Sort Rows by Column Column Shuffle Row Shuffle Split by Rows Dataset Scale Single Column Scale DAME Application RESOURCE
10. data files The virtual separation of user data files between workspace and experiment files located in the respective panels File Manager for workspace files and My Experiments for experiment files is due to the different origin of such files and depends on their registration policy into the web application database The data files present in the workspace list File Manager area panel are usually registered as input files 1 e to be submitted as inputs for experiments While others present in the experiment list My Experiments panel are considered as output files 1 e generated by the web application after the execution of an experiment It is not rare in machine learning complex workflows to re use some output files obtained after training phase as inputs of a test validation phase of the same workflow This is true for example for a MLP weight matrix file output of the training phase to be re used as input weight matrix of a test or validation session of the same network 28 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program In order to make available this fundamental feature in our application the icon command nr 18 AddInWS in Fig 6 associated to each output file of an experiment can be selected by the user in order to copy the file from experiment output l
11. feature iii 16 Fig 14 The Upload data from Hard Disk feature iii 16 Fig 15 The Uploaded data file in the File Manager sub Window iii 17 Fig 16 The dataset editor tab with the list of available Operations iii 18 Fig 17 The Feature Selection operation select columns and put saving name ii 19 Fig 18 The Feature Selection operation the new file created i 19 Fig 19 The Column Ordering operation the starting VieW iii 20 Fig 20 The Column Ordering operation new order tO COlUMNS iii 21 Fig 21 The Column Ordering operation new file created M ii 21 Fig 22 The Sort Rows by Column operation step l iii 22 Fig 23 The Sort Rows by Column operation step 2 iii 23 Fig 24 The Sort Rows by Column operation the new file created iii 23 Fig 25 The Column Shuffle operation step 1 ccccccccccccccccccsssescscccccccccasssseecceeeeeaeeeseeeeeeesaaaaseseeeeessaaaaeseeees 24 Fig 26 The Column Shuffle operation the new file created i 24 Fig 27 The Row Shuffle operation Step l ii Zad Fig 28 The Row Shuffle operation the new file created 25 Fig 29 Ihe Spit Dy Rowsoperation SIC Liar 26 Fig 30 The Split by Rows operation the
12. field that appears after pressing the New Workspace button After creation the active workspace can be populated by data and experiments Fig 10 DAME Application Logout Se App Manuals Model Manuals v Cloud Services v Science Cases Documents v Info v RESOURCE MANAGER File Editor EJ Workspace v File Manager gt Workspace rr New Workspace myfirstWS i Dow g Edit File Type Last Access gt Dele Rename Workspace i Upload e Experiment Delete pil os columnSubset_optAndStruct CSV 2010 11 30 X P myfirstWS a Er x ee ee _ i myfirstws on opt_and_struct csv CSV 2010 11 30 x lt i os xor csv csv 2010 11 30 x v My Experiments Workspace my firstWS Experiment Status Last Access gt Delete b piri ended 2010 11 30 x Fig 10 the active workspace created in the Workspace List Area 3 4 Header Area At the top segment of the DMS GUI there is the so called Header Area Apart from the DAME logo it includes a persistent menu of options directly related to information and documentation this document also available online and or addressable through specific DAME program website pages 13 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program Logou App Manuals v Model Manuals Cloud Services Science Cases Documents Info v E Reference Guide MLP BP Manual SD
13. i a aa 4 secondWs New Experiment Experiment Name Dpt_and_struct csv csv 2010 11 30 a x Ei amp columnSubset_dataset csv 2010 11 30 i rN optAndStruct_scaleOneCol csv 2010 12 01 x myFirstExp x MxM x xor cSv csv 2010 11 30 OK Cancel v My Experiments Workspace myfirstWS Experiment Status Last Access X Delete No items to show Fig 35 Creating a new experiment by selecting icon Experiment in the workspace Immediately after an automatic new tab appears making available all basic features to select configure and launch the experiment In particular there is the list of couples functionality model to choose for the current experiment The proper choice should be done in order to solve a particular problem It depends basically on the dataset to be used as input and on the output the user wants to obtain Please refer to the particular model reference manual for more details 29 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program Logout Se App Manuals v Model Manuals v Cloud Services v Science Cases Documents v Info v RESOURCE MANAGER File Editor EJ Experiment Setup Select a gt x v Functionality Classification_MLP Classification_MLPGA Classification_SVM Regression_MLP Regression_MLPGA Regression_SVM Fig 36 The new tab open after cr
14. list of columns originally present in the input data file that can be selected by proper check boxes Note that the whole content of the data file in principle a massive data set is not shown but simply labelled by column meta data as originally present in the file DAME Application Logout L App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v Info v RESOURCE MANAGER Upload in myfirstWS Workspace EJ Workspace v File Manager t T Workspace Cg New Workspace myfirstWS i i i F i Dow Edt Fie Type Last Access MX Dele g Rename Workspace i Upioad gj Experiment 3 Delete lt 4 or Pa io Ct amp columnSubset_dataset csv 2010 11 30 x lt P myfirstWSs Ca er x X amp columnSubset_optAndStruct CSV 2010 11 30 x 8 secondWs ca Er x Ea os opt_and_struct csv csv 2010 11 30 x nre ear i xor csv csv 2010 11 30 x V My Experiments Workspace imyfirstWS Experiment Status Last Access 3 Delete b piri ended 2010 11 30 x lt Fig 18 The Feature Selection operation the new file created 19 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program 3 5 2 2 Column Ordering This dataset operation permits to select an arbitrary order of columns contained in the original data file by saving them in a new file of the same type and with the same extension
15. new files created M ii 26 Fig 31 The Dataset Scale operadlom Step Li siusvasiassanausaneinniteacblosesinerediaiaasanaaeennnshaneds 27 Fig 32 The Dataset Scale operation the new file created M i 27 Fig 33 The Single Column Scale Operation step l iii 28 Fig 34 The Single Column Scale operation the new file created iii 28 Fig 35 Creating a new experiment by selecting icon Experiment in the workspace 29 Fig 36 The new tab open after creation of a new experiment with the list of available options 30 Fig 37 The new state of the experiment configuration tab after the selection of the model 30 Fig 38 The configuration options in the Train use case iiii 31 Fig 39 The configuration options in the Test USC CASse M iii 3 Fig 40 The configuration options in the Run use case iii 31 Fig 41 The configuration options in the Full use CASse M ii 32 Fig 42 Example of a web page automatically open after the click on the help button 32 Fig 43 Some different state of two concurrent experiments iii 33 Fig 44 An example of Regression_MLP training case for the XOR problem i 33 Fig 45 The status at the end of the XOR problem experiment
16. of the original file named as columnSort_ lt user selected name gt i e with specific prefix columnSort Details of the simple procedure are reported in Fig 20 and Errore L origine riferimento non stata trovata DAME Application Logout App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v Info v RESOURCE MANAGER File Editor Workspace myfirstwWS Configuration File opt_and_struct_csv 9 lt Operation Description Output Column k Column Name Type IM R OK Feat selecti It creates a new file containing only the selected File dataset eature Selection colse 1 coll Float Name it creates a new file containing the new ordering of 2 col Float Columns Ordering columns as specified in the column fields n col3 Float It creates a new file containing the sorted rows by fort Sonn by Coluran specifying the column reference index 5 cos Float Column Shuffle tt creates a new file containing shuffled columns 5 cols Float Row Shuffle It creates a new file containing shuffled rows 6 cole Float it creates as many new files as desired each 7 col Float Split by Rows containing the specified percentage of rows The 8 cols Float rows distribution can be randomly extracted 9 col Double Use only numerical Dataset Dataset Scale It creates a new file containing all data scaled in the 10 colo Double selected range 1 1 or 0 1 It creates a new file containing a single column data scal
17. of the same type and with the same extension of the original file named as scale_ lt user selected name gt 1 e with specific prefix scale Details of the simple procedure are reported in Fig 31 and Fig 32 DAME Application Logout Me App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v Info v RESOURCE MANAGER File Editor EJ Workspace myfirstwWS Configuration File opt_and_struct_csv 9 lt Operation Description 4 OK w d tesa talsclc t creates a new file containing only the selected i col Float columns Range 1 It creates a new file containing the new ordering of 2 col2 Float 0 Columns Ordering columns as specified in the column fields col Float 2 41 Sait Rows by Coin It creates a new file containing the sorted rows by Output y specifying the column reference index 4 col4 Float File optAndStruct Column Shuffle it creates a new file containing shuffled columns 5 cols Float Name Row Shuffle It creates a new file containing shuffled rows 6 cole Float It creates as many new files as desired each 7 col Float Split by Rows containing the specified percentage of rows The 8 cols Float rows distribution can be randomly extracted 9 colo Double Use only numerical Dataset Dataset Scale It creates a new file containing all data scaled in the 10 coho Double selected range 1 1 or 0 1 we x 11 col11 Double It creates a new file containing a single column data scal
18. page reporting in verbose mode detailed description of all parameters In particular the parameter fields marked by an asterisk are considered required by the user All other parameters can be left empty by assuming a default value also reported in the hep page Functionality Regression with MLP Parameter specifications Use Case TRAIN Fig 42 Example of a web page automatically open after the click on the help button 32 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program After completion of the parameter configuration the Submit button launches the experiment After launch of an experiment it can result in one of the following states Enqueued the execution is put in the job queue Running the experiment has been launched and it is running Failed the experiment has been stopped or concluded with any error occurred Ended the experiment has been successfully concluded Experiment Manager penne bY ok Fp Laat Accaegt sm Dela BO moyfirstExp enced 2010 06 23 Po myClassExp rewire UTO x x Fig 43 Some different state of two concurrent experiments 3 6 1 Re use of already trained networks In the previous section a general description of experiment use cases has been reported A specific more detailed information is required by the Run use case As known this is the
19. the output of the Run use case experiment in the XOR problem At the end of Run experiment execution the experiment output area should contain a list of output files as shown in Fig 49 and Fig 50 Also the same file outputFileName_netTrain mlp should be selected as Network file input in case you want to execute another training TRAIN FULL cases phase for example when first training session ended in an unsuccessful or insufficient way In this cases the user can execute more training experiments starting learning from the previous one by resuming the trained weight matrix as input network for future training sessions This operation is the so called resume training phase of a neural network Of course the same XOR problem could be also solved by using another functionality model couple such as Regression_MLPGA We remind the user to consult when available the related model specific documentation and manuals available from the header menu of the webapp the beta intro web page or the machine learning web page of the official DAME website 37 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved Abbreviations amp Acronyms A amp A Al ANN ARFF ASCII Bok BP BLL CE CSV DAL DAME DAPL DL DM DMM DMS FITS FL FW GRID GUI HW Meaning Artificial Intelligence Artificial Neural Network Attribute Relation File Format
20. web browser It is structurally organized under the form of working sessions hereinafter named workspaces that the user can create modify and erase You can imagine the entire DMS as a container of services hierarchically structured as in Fig 1 The user can create as many workspaces as desired and populate them with uploaded data files and with experiments created and configured by using the Suite Each workspace is enveloping a list of data files and experiments the latter defined by the combination between a functionality domain and a series one at least of data mining models From these considerations it is obvious that a workspace makes sense if at least one data file is uploaded into So far the first two actions after logged in are respectively to create a new workspace by assigning it a name and to populate it by uploading at least one data file to be used as input for future experiments The data file types allowed by the DMS are reported in the next sections In principle there should be many experiments belonging to a single workspace made by fixing the functional domain and by slightly different variants of a model setup and configuration or by varying the associated models Me philosophy behind the interaction between user and the DMS Data Mining Suite is the experiments y EEEN lg Li A ee hi Ar A PENI Ri Sl 7 Woe aLe es UIA Pa mi LA clustering Fig 1 Suite functional hierarchy By th
21. DAta Mining amp Exploration de FT Dipartimento di Scienze Fisiche J ISTITUTO NAZIONALE dist OrISICA L CALTECH bps o l N Universit di Napoli Federico I tnt OSSERVATORIO ASTRONOMICO dICAPODIMONTE Q F b release Graphical User Interface User Manual DAME MAN NA 0010 Issue 1 0 Date Dec 02 2010 Author M Brescia Doc BetaRelease GUI UserManual DAME MAN NA 0010 Rel1 0 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved Program DAME Program we make science discovery happen Infoline AL TA di OAC ASS Ca Oy Ci Wy tees ac eahe wcrc caer E TE 3 1 User Registration and ACCESS Ded TROIA ioni 39 ONERE RE ERI SL PRE iS Da Maillard ii Foe Cc PR E RI LE 3 5 2 HOW to Create dataset files eres icccstsuassesinstachsceceasdates besddssaecenssesdocdedncnccdatvedededseantsansasoohedbencets 3932 1 Feature Selec O eene TE eeaeee 5 2 2 CU RR A 3 5 2 3 SOL Row So CO nia ni 3 5 2 4 Via SEUI sierra aan rei ia a 35 2 5 ROS 3 5 2 6 SIENTE PERE cere eleceor E E S E EEES EES Sidi EEE RI 3 5 2 8 Sle Coumi SCA E R ie ATI a Dovnload daki ereo EO OEO SS MOTI iaia 3 6 Expetment Management sas vets cscs taniensisssrasvacvsinesacesisswoc ssiua wpolsieaicasucenenesudtsewonesetenststaeteushaaeasees 3 6 1 Re use of already trained networks TABLE INDEX Ta
22. Guido Brescia Cavuoti Brescia Cavuoti Brescia Cavuoti Brescia Brescia Tab 4 Applicable Documents DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program Date 15 10 2008 19 02 2008 30 05 2007 12 10 2007 17 07 2007 06 10 2007 18 03 2009 14 04 2010 29 03 2010 03 06 2009 22 03 2010 07 07 2007 02 10 2007 20 02 2008 05 01 2009 30 11 2008 14 04 2010 28 10 2010 30 11 2010 30 11 2010 30 11 2010 40 DAta Mining amp Exploration Program Acknowledgments project VOTECH Virtual Observatory Technological Infrastructures and by the Italian PON ik DAME program has been funded by the Italian Ministry of Foreign Affairs the European S Co P E The current release of the data mining Suite is a miracle due mainly to the incredible effort of in alphabetical order Stefano Cavuoti Giovanni d Angelo Alessandro Di Guido Michelangelo Fiore Mauro Garofalo Omar Laurino Francesco Manna Alfonso Nocella Bojan Skordovski We want to really thank all actors who contribute and sustain our common efforts to make the whole DAME Program a reality coming from University Federico II of Naples INAF Astronomical Observatory of Capodimonte and Californian Institute of Technology Max 000 41 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME proj
23. OK losco Saloni It creates a new file containing only the selected File optAndStruct i eature ction ha 1 coll Float Name gt It creates a new file containing the new ordering of 2 col Float Gokan x der columns as specified in the col fields umns as specified in the column 3 cob Float It creates a new file containing the sorted rows by se Corum specifying the column reference index 4 col Float Column Shuffie It creates a new file containing shuffled columns 5 cols Float Row Shuffle It creates a new file containing shuffled rows 6 cob Float It creates as many new files as desired each 7 col7 Float Split by Rows containing the specified percentage of rows The 8 colg Float rows distribution can be randomly extracted Use only numerical Dataset 9 cold Double Dataset Scale It creates a new file containing all data scaled in the 10 colo Double selected range 1 1 or 0 1 11 111 It creates a new file containing a single column data dici e scaled in the selected range 1 1 or 0 1 12 col12 Short Spe Coleen SCE leaving unmodified the other columns in the original order e e Fig 25 The Column Shuffle operation step 1 DAME Application Logout Qe App Manuals v Model Manuals Cloud Services 7 Science Cases 7 Documents 7 Info File Manager Workspace Imyfirst NS r j P E Dow Edt File Type Last Access M Dele g Rename Workspace i Upioad J Experiment Delete Ei os
24. SS Mirror Sile Photometric Redshifts Docs amp Lectures Official Website Li GUI User Manual o MLP GA Manual I VFXT Time Cale UA Photometric Quasars E Science Production Write Us bist SVM Manual EN VOGCheters LA Globular Clusters LI Newsletters About Us ID KNIME with DAME BI Transient Discovery LA Release Notes LA FAQ Fig 11 The GUI Header Area with all submenus open The options are described in the following table Tab 1 OPTIONS HEADER DESCRIPTION Reference Guide GUI User Manual http voneural na infn it beta info html manuals Extend DAME Application Manuals http voneural na infn it dmplugin html MLP BP Manual E Specific data mining model user manuals for experiments MLP GA Manual SVM Manual Model Manuals http voneural na infn it beta_info html manuals SDSS Mirror Site http dames scope unina it WEXT Time Calc Cloud S http voneural na infn it dame_wfxt html VOGCLUSTERS App et ten Care http voneural na infn it vogclusters html nttp VONCural Na INiN 1w VOg_Clusters ntmMt KNIME with DAME http voneural na infn it dame_kappa html Globular Clusters http voneural na infn it dame_gcs html Transients Discovery http voneural na infn it dame_td html Docs amp Lectures http voneural na infn it documents html Science Production http voneural na infn it science_papers html Documents Photometric Redshifts http voneural na infn it vo_redshifts html Photometric Quasars http voneural na
25. ager sub window related with the currently active workspace Fig 15 16 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved RESOURCE MANAGER File Editor EJ Workspace li New Workspace Rename myfirstWS Workspace N asu fit App Manuals v Upload in myfirstWS Workspace i Upioad _ vizier_votable vot Model Manuals v DAta Mining amp Exploration Cloud Services v N Experiment 30 Delete x Program Science Cases v v File Manager Workspace myfirstWS i Dow g Edit File Type pr o columnSubset_optAndStruct csv a a b opt_and_struct csv csv E i amp XOr cSV CSV v My Experiments Workspace my firstWS Experiment Status b piri ended Documents v Logout Info v Last Access gt Dele 2010 11 30 x lt 2010 11 30 gt lt 2010 11 30 x lt Last Access X Delete 2010 11 30 x O Mostra tutti i download Fig 15 The Uploaded data file in the File Manager sub window 3 5 2 How to Create dataset files x If the user has already uploaded any supported data file in the workspace it is possible to select it and to create datasets from it This is a typical pre processing phase in a machine learning based experiment where starting form an original data file several different files must be prepared and provided to be submitted as input for respectively
26. ated to the red circles in Fig 6 is reported l 2 The header menu options When one of the available menus is selected a pop submenu appears with some options Logout button If pressed the GUI and related working session is closed Operation tabs The GUI is organized like a multi tab browser Different tabs are automatically open when user wants to edit data file to create manipulate datasets to upload files or to configure and launch experiments All tabs can be closed by user except the main one Resource Manager Creation of new workspaces When selected and named the new workspace appears in the Workspace List Area Workspace sub window Workspace List Area portion of the main Resource Manager tab dedicated to host all user defined workspaces Upload command When selected the user is able to select a new file to be uploaded into the Workspace Data Area Files Manager sub window The file can be uploaded from external URI or from local user HD Creation of new experiment When selected the user is able to create a new experiment a specific new tab is open to configure and launch the experiment Rename workspace command When selected the user can rename the workspace 10 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved 10 11 12 13 14 15 16 17 18 DAta Mining amp Exploration Program Delete Workspa
27. ation about DAME services For any request please contact by e mail helpdame gmail com by Skype helpdame The DAME Staff DAME Data Mining amp Exploration Program Fig 4 An example of e mail received by the user after submission of registration info DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program After that the user must wait for a second e mail which will be the final confirmation about the activation of the account This is required in order to provide an higher security level Once the user has received the activation confirmation he can access the webapp by inserting e mail address and password The webapp will appear as shown in Fig 5 DAME Application Logout S App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v Info v RESOURCE MANAGER Workspace v File Manager b New Workspace ii p Dow wi Edit File Type Last Access x Dele Workspace Upload J Experiment Rename 3 Delete f No items to show No items to show vV My Experiments Experiment Status Last Access M Delete No items to show Fig 5 The Web Application starting main page Resource Manager 3 2 The command icons The interaction between user and GUI is based on the selection of icons which correspond to basic features available to perform actions Here their description rel
28. b Header Area M nu OD ONS scripta Tab 2 Abbreviations and acronym S essersi n ninen N aA EE EEEREN TANER Tab 3 R erence DOCS iii TD COC DOCUMEN nn DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration DAta Mining amp Exploration Program FIGURE INDEX EEA PRE ere neew Res 7 Fig 2 The user registration login form to access at the web application iii S bio a TCO AMON FOI EEEE AENEA eon aaeuas I 9 Fig 4 An example of e mail received by the user after submission Of registration info ccccccceeeveeeeeeeees 9 Fig 5 The Web Application starting main page Resource Manager iii 10 Fig 6 The Web Application main areas and commandS iiii Il Fig 7 The right sequence to configure and execute an experiment workflow ccccccccceseseeseseeceeeeeeaaseesseees 12 Fig 8 the button New Workspace at left corner of Workspace manager WindoW i 12 Fig 9 the form field that appears after pressing the New Workspace button i 13 Fig 10 the active workspace created in the Workspace List Area iii 13 Fig 11 The GUI Header Area with all submenus Open iii 14 Fig 12 The Upload data feature open in a new tab iii 15 Fig 13 The Upload data from external URI
29. become his access login It is important to define a real address because it will be also used by the DMS for communications feedbacks and activation instructions e Country country of the user Affiliation the institute academy society of the user e Password a safe password at least 6 chars without spaces and special chars DAME Registration Window DAME Registration Form Name Family Name m _ Use a dt address ta Sets j Login Country New on DAME WebApp Affiliation sase click Register Now Allowed Password TOn 6 18 ou can obtain the access by following characters simple registration procedure Confirm 1 Compile the registration form Password click Register Now button Submit 2 Immediately after you will receive by e mail a welcome message 3 Check for an e mail message with your account confirmation 4 Go back at this page and sign in TUDO gt gt fabri _ Fig 3 The user registration form After submission an e mail will be immediately sent at the defined address Fig 4 confirming the correct coming up of the activation procedure Registering on DAME Posta in arrivo x X FEregistration dame it a me Dear max cipolla Thank you for registering to DAME application suite Your account will be activated as soon as possible Your username is bresciamax gmail com Your password is Please visit http voneural_na_infn_it for all inform
30. ce command When selected the user can delete the related workspace only if no experiments are present inside otherwise the system alerts to empty the workspace before to erase it File Manager Area the portion of Resource Manager tab dedicated to list the data files belonging to various workspaces All files present in this area are considered as input files for any kind of experiment Download command When selected the user can download locally on his HD the selected file Dataset Editor command When selected a new tab is open where the user can create edit dataset files by using all available dataset manipulation features Delete file command When selected the user can delete the selected file from current workspace Experiment List Area The portion of Resource Manager tab dedicated to the list of experiments and related output files present in the selected workspace Experiment verbose list command When selected the user can open the experiment file list for experiment in ended state in a verbose mode showing all related files created and stored Delete Experiment command by clicking on it the entire experiment all listed files is erased Download experiment file command When selected the user can download locally on his HD the related experiment output file AddinWS command When selected the related file is automatically copied from the Experiment List Area to the currently active workspace File Manager Area This feature
31. ct csv csv 2010 11 30 x ra nr di xor csv csv 2010 11 30 gt 4 Experiment Status Last Access Delete gt myFirstExp ended 2010 12 01 x Note x e Experiment Finished Ly OK e e Fig 45 The status at the end of the XOR problem experiment DAME Application Logout 2 App Manuals v Model Manuals Cloud Services v Science Cases v Documents Info v RESOURCE MANAGER File Editor EJ Workspace Lv File Manager Workspace le New Workspace myfirstws RS re i P du 5 1 j T 1 Dow g Edit File Type Last Access J Rename Workspace 3 Upload gj Experiment 9 Delete X mM i columnSubset_dataset csv 2010 11 30 myfirstWS Er x L E i gt xs i optAndStruct_scaleOneCol csv 2010 12 01 Oo secondWs a er x r opt_and_struct csv csv 2010 11 30 nr 2010 11 30 v My Experiments Workspace myfirstWS Experiment Status 4 myFirstExp ended Download gt AddinWs File TRAIN_20101201175955 tra TRAIN_20101201175955 csv TRAIN_20101201175955 csv 79998 TRAIN_20101201175955 log TRAIN_20101201175955 ERROR Last Access 2010 12 01 Type Description ba Output 1 description csv Output 2 description jpeg jpeg Output 3 description csv Output 4 description Output 5 description Fig 46 The list of output files after the XOR problem training experiment DAMEWARE Beta Release GUI User Manual 34 This document contains proprietar
32. e columnSort_dataset e IT i columnSort_optAndStruct B X e E b columnSubset_dataset p or os opt_and_struct csv al amp rowShuffle_optAndStruct A os rowSort_optAndStruct Di PN shuffle_optAndStruct v My Experiments 2 DIEDE Works pace myfirstWS Experiment Status b piri ended Documents v OK Documents v Type csv csv csv csv csv csv csv DAMEWARE Beta Release GUI User Manual Info v Info v Last Access 2010 12 01 2010 12 01 2010 11 30 2010 11 30 2010 12 01 2010 12 01 2010 12 01 Last Access 2010 11 30 This document contains proprietary information of DAME project Board All Rights Reserved Logout Logout x T e La KKK KK M Delete a 25 DAta Mining amp Exploration Program 3 5 2 6 Split by Rows This dataset operation permits to split the original file into two new files containing the selected percentages of rows as indicated by the user The user can move one of the two sliding bars in order to fix the desired percentage The other sliding bar will automatically move in the right percentage position The new file names are those filled in by the user in the proper name fields as split1_ lt user selected name gt split2_ lt user selected name gt i e with specific prefix split and split2 Details of the simple procedure are reported in Fig 29 Fig 30 DAME Application Logout LL App Manua
33. eation of a new experiment with the list of available options The user can choose between classification or regression type of functionality to be applied to his problem Each of these functionalities can be achieved by associating a particular data mining model chosen between three types e MLP Multilayer Perceptron neural network trained by standard Back Propagation descent gradient of the error learning rule e MLPGA Multilayer Perceptron neural network trained by Genetic Algorithm learning rule e SVM Support Vector Machine model Specific related manuals are available to obtain detailed information about the use of the above models see webapp header menu options After the selection of the proper functionality model the tab will show greyed some options and the possibility to select the use case The greyed options like help button will be activated after the selection of the use case to be configured and launched DAME Application Logout App Manuals v Model Manuals Cloud Services v Science Cases Documents v Info v RESOURCE MANAGER File Editor EJ Experiment Setup Q Selecta Pegression MLP w Select a Running Run Mode Functionality Mode Field is Required Fig 37 The new state of the experiment configuration tab after the selection of the model As known data mining models following machine learning paradigm offer a series of use cases see figures below e Train trai
34. ect Board All Rights Reserved DAta Mining amp Exploration Program DAME Program we make science discovery happen ML bi 42 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved
35. ed in the selected range 1 1 or 0 1 12 col12 Short leaving unmodified the other columns in the original order Single Column Scale Fig 31 The Dataset Scale operation step 1 Available in next releases Fig 32 The Dataset Scale operation the new file created 3 5 2 8 Single Column Scale This dataset operation that works on numerical data files only permits to normalize a single selected column between those contained in the original file in one of two possible ranges respectively 1 1 or O 1 The result is the creation of a new file of the same type and with the same extension of the original file named as scaleOneCol_ lt user selected name gt i e with specific prefix scaleOneCol Details of the simple procedure are reported in Fig 33and Fig 34 27 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program Logout Me App Manuals v Model Manuals v Cloud Services v Science Cases Documents Info v RESOURCE MANAGER File Editor E Workspace myfirstwWS C A onfiguration File opt_and_struct_csv 2 lt Operation Description 4 da x w file h d 3 tire talcctic It creates a new file containing only the selecte i col Float columns Range It creates a new file containing the new ordering of 2 col2 Float Jt Columns Ordering columns as specified in the colum
36. ed in the selected range 1 1 or 0 1 12 col12 Short leaving unmodified the other columns in the original order 11 col11 Double Single Column Scale Piano di gestionedi pdf ld 7distretti doc EJ Mostra tutti i download X Fig 19 The Column Ordering operation the starting view In particular in Errore L origine riferimento non stata trovata it is shown the result of several dragging operations operated on some columns By selecting with mouse a column it is possible to drag it in a new desired position At the end the new saved file will contain the new order given to data columns 20 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program Logout e App Manuals v Model Manuals v Cloud Services 7 Science Cases v Documents 7 Info v RESOURCE MANAGER File Editor E3 Workspace myfirstWS z File opt_and_struct_csv Discus oti i aa X Operation Pencription Column k Column Name Type Output OK r is Select t creates a new file containing only the selected File dataset eature Selection erik 3 col3 Float Name ini i 1 coll Float Columns Ordering it creates a new file containing the new ordering of columns as specified in the column fields 2 col Float It creates a new file containing the sorted ro
37. executed to perform scientific experiments on new data Remember also that the input file does not include target values The execution of a Run use case for its nature requires special steps in the DAME Suite These are described in the following As first step we require to have already performed a train case for any experiment obtaining a list of output files train or full use cases already executed In particular in the output list of the train full experiment there is the file outputFileName_netTrain mlp This file contains the final trained network in terms of final updated weights of neuron layers exactly as resulted at the end of the training phase Depending on the training correctness this file has in practice to be submitted to the network as initial weight file in order to perform running sessions on input data without target values DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved 35 Program App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v RESOURCE MANAGER File Editor Info v Workspace v File Manager mm Workspace lar z New Workspace myfirstWS C Dow Edit File Type Last Access Rename Workspace C Upload E Experiment Delete gt E i opt_and_struct csv csv 2010 11 30 Oo myfirstWS es a x 3 gt a i X TRAIN_20101201175955_netTrain mip mip 2010 12 01 rA secondWs i 4
38. f columns as specified in the column fields It creates a new file containing the sorted rows by specifying the column reference index it creates a new file containing shuffled columns It creates a new file containing shuffled rows Itcreates as many new files as desired each containing the specified percentage of rows The rows distribution can be randomly extracted Use only numerical Dataset It creates a new file containing all data scaled in the selected range 1 1 or 0 1 It creates a new file containing a single column data scaled in the selected range 1 1 or 0 1 leaving unmodified the other columns in the original order distretti doc Cloud Services v Configuration coll col cols colg col10 col11 coli2 Float Float Float Float Float Float Float Float Double Double Double Short Science Cases v Select Index Output 1 File Name 2 Logout Documents v Info v OK E Mostra tutti i download Fig 22 The Sort Rows by Column operation step 1 22 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved App Manuals v Model Manuals v RESOURCE MANAGER File Editor Workspace myfirstwS DAta Mining amp Exploration Cloud Services v Configuration File opt_and_struct_csv 9 lt Operation Description tate Selection t creates a ne
39. formation of DAME project Board All Rights Reserved DAta Mining amp Exploration Date 1936 1995 1998 2002 2007 2009 2003 2001 1999 1991 1993 1989 39 ID AI A2 A3 A4 AS A6 A7 AS A9 A10 AII AI2 A13 Al4 Al5 A16 A17 A18 A19 A20 A21 Title Code SuiteDesign VONEURAL PDD NA 0001 Rel2 0 project_plan_ VONEURAL PLA NA 0001 Rel2 0 statement_of_work_VONEURAL SOW NA 0001 Rel1 0 MLP_user_manual VONEURAL MAN NA 0001 Rel1 0 pipeline_test_VONEURAL PRO NA 0001 Rel 1 0 scientific_example_ VONEURAL PRO NA 0002 Rel 1 1 frontend_VONEURAL SDD NA 0004 Rel1 4 FW_VONEURAL SDD NA 0005 Rel2 0 REDB_VONEURAL SDD NA 0006 Rel1 5 driver VONEURAL SDD NA 0007 Rel0 6 dm model_VONEURAL SDD NA 0008 Rel2 0 ConfusionMatrixLib_VONEURAL SPE NA 0001 Rel1 0 softmax_entropy_ VONEURAL SPE NA 0004 Rel1 0 VONeuralMLP2 0_VONEURAL SPE NA 0007 Rel1 0 dm_model_ VONEURAL SRS NA 0005 Rel0 4 FANN_MLP_VONEURAL TRE NA 0011 Rel1 0 DMPlugins DAME TRE NA 0016 Rel0 3 BetaRelease_ReferenceGuide DAME MAN NA 0009 Rel1 0 BetaRelease_ Model MLP_UserManual DAME MAN NA 0011 Rel1 0 BetaRelease_ Model SVM_UserManual DAME MAN NA 0013 Rel1 0 BetaRelease_ Model MLPGA_UserManual DAME MAN NA 0012 Rel1 0 Author DAME Working Group Brescia Brescia DAME Working Group D Abrusco D Abrusco Cavuoti Manna Fiore Nocella d Angelo Cavuoti Di Guido Cavuoti Skordovski Skordovski Cavuoti Skordovski Laurino Di
40. infn it qso html Science Cases Newsletter http voneural na infn it newsletters html Release Notes http voneural na infn it beta_info html relnotes Official website http voneural na infn it Write Us Info Mail to brescia na astro it About Us http voneural na infn it project_members html FAQ http voneural na infn it beta_info html faq Tab 1 Header Area Menu Options 3 5 Data Management The Data are the heart of the web application data mining amp exploration All its features directly or not are involved within the data manipulation So far a special care has been devoted to features giving the opportunity to upload download edit transform submit create data In the GUI input data i e candidates to be inputs for scientific experiments are basically belonging to a workspace previously created by the user All these data are listed in the Files Manager sub window These data can be in one of the supported formats i e data formats recognized by the web application as correct types that can be submitted to machine learning models to perform experiments They are e FITS tabular fits files e ASCII txt or dat ordinary files 14 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program e VOTable VO compliant XML document files e CSV Comma Separated Values csv files
41. ir account on the DAME Suite After activation all subsequent accesses will require login and password as defined by the user at the registration stage The user registration login entry page is shown in Fig 2 DAME DAta Mining amp Exploration is an innovative user mai I general purpose Web based distributed data mining adaa infrastructure specialized in Massive Data Sets exploration with machine learning methods New on DAME WebApp For news documentation and FAQ information please click You can obtain the access by following Technical Support a simple registration procedure helpdame AT gmail com 1 Compile the registration form click Register Now button Skype helpdesk 2 immediately after you will receive by e mail a welcome message 3 Check for an e mail message with your account confirmation 4 Go back at this pace and sign in Fig 2 The user registration login form to access at the web application DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program New users must be registered by following a very simple procedure requiring to select Register Now button on that page The registration form requires the following information to be filled in by the user all fields are required Name of the user e Family name of the user User e mail the user e mail it will
42. is useful to re use an output file of a previous experiment as input file of a new experiment in the figure look at the file weights txt that after this command is also listed in the File Manager A file present in both areas can be used as input either as output in the experiments DAME Application Logout 4 App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v Info v 2 RESOURCE MANAGERS File Editor 3 Workspace v File Manager Workspace 1 0 gp New Workspace 4 myFirstExp Workspace myFirstExp iu Download Edit File Type Last Access X Delete E Upload Experiment Rename 3 Delete E 2 BD 7 X amp 6 7 8 9 os weights txt 2010 11 24 x lt v My Experiments 1 4 Workspace myFirstExp prova1 dat csv 2010 11 24 Experiment 15 Status Last Access X Delete b fdsfds running 2010 11 22 x lt s 5 train ended 2010 11 24 Download AddinWs File Type Description 47 418 train_out ascii Output 1 description oy error ascii Output 2 description et _ weights txt Output 3 description gt test ended 2010 11 24 gt 4 P Fig 6 The Web Application main areas and commands 11 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program 3 3 Workspace Management A workspace is namely a working session in which the user can enclose resources related to
43. is way as usual in data mining the knowledge discovery process should basically consist of several experiments belonging to a specified functionality domain in order to find the model parameter configuration and dataset parameter space choices that give the best results in terms of performance and reliability The following sections describes in detail the practical use of the DMS from the end user point of view Moreover the DMS has been designed to build and execute a typical complete scientific pipeline hereinafter named workflow making use of machine learning models This specification is crucial to understand the right way to build and configure data mining experiment with DMS In fact machine learning algorithms hereinafter named models need always a pre run stage usually defined as training or learning phase and are basically divided into two categories supervised and unsupervised models depending respectively if they make use of a BoK Base of Knowledge i e couples input target for each datum to perform training or not for more details about the concept of training data see section 3 5 below So far any scientific workflow must take into account the training phase inside its operation sequence DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program Apart from the training step a complete scientific
44. ist to the workspace input list becoming immediately available as input file for new experiments belonging to the same workspace _as important remark in the beta release it is not yet possible to move files from a workspace to another The alternative procedure to perform this action is to download the file on user local Hard Disk and to upload it into another desired workspace in the webapp 3 6 Experiment Management After creating at least one workspace populating it with input data files of supported type and optionally creating any dataset file the next logical operation required is the configuration and launch of an experiment In what follows we will explain the experiment configuration and execution by making use of an example very simple not linearly separable XOR problem which can be replicated by the user by using the xor csv and xor_run csv data files downloadable from the beta intro web page http voneural na infn it beta_info html The Fig 35 shows the initial step required i e the selection of the icon command nr 7of Fig 6 in order to create the new experiment DAME Application Logout di App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v Info v RESOURCE MANAGER File Editor EJ Workspace v File Manager Workspace oi New Workspace N Dow Edit File Type Last Access 3 Dele Rename Workspace gt Upioad 4 Experiment gt Delete E myfirstWS m Ji a
45. kspace myfirst WWS Configuration File opt_and_struct_csv K Operation Deere F Columnk Column Type Output Ok It creates a new file containing only the selected File dataset Feature Selection chins VI 1 coli Float Name it creates a new file containing the new ordering of E 2 col Float Columns Ordering TE columns as specified in the column fields wJ 3 col3 Float t creates a new file containing the sorted rows by a sort Rowe by Column specifying the column reference index I 4 col Float Column Shuffle it creates a new file containing shuffled columns FI cols Float Row Shuffle It creates a new file containing shuffled rows iv 6 cob Float It creates as many new files as desired each v 7 col Float Split by Rows containing the specified percentage of rows The iv 3 cols Float rows distribution can be randomly extracted se Use only numerical Dataset 9 colo Double Dataset Scale It creates a new file containing all data scaled in the F 10 colo Double selected range 1 1 or 0 1 4 11 col11 Double It creates a new file containing a single column data mo E scaled in the selected range 1 1 or 0 1 v 12 coli2 Short ae leaving unmodified the other columns in the original order asu fit vizier_votable vot if E Mostra tuttiidownload Fig 17 The Feature Selection operation select columns and put saving name As clearly visible in Fig 17 the Configuration panel shows the
46. load in myfirstWS Workspace Experiment Setup Select a Regression_MLP Select a Running Run Functionality Mode Field is Required Run Set xor_run csy v Network File ITRAIN_20101201 175955 v Submit Info v Fig 49 the configuration for the Run use case in the XOR problem DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved Logout 36 DAta Mining amp Exploration Program Logout Se App Manuals v Model Manuals v Cloud Services v Science Cases Documents v Info v RESOURCE MANAGER File Editor EJ Upload in myfirstWS Workspace EJ Workspace v File Manager ca Workspace I Er New Workspace myfirstWS i Dow g Edit File Type Last Access gt Dele J Rename Workspace i Upload gj Experiment 30 Delete es pil os opt_and_struct csv csv 2010 11 30 lt P myfirstWSs fa gt a x B se mn amp TRAIN_20101201175955_netTrain mip mip 2010 12 01 gt _ lt oO secondWs 4 Er gt os xor csv csv 2010 11 30 x lt i pil S xor_run csv csv 2010 12 01 x v My Experiments Workspace myfirstWS Experiment Status Last Access 3 Delete gt myFirstExp ended 2010 12 01 x 4 xorRunExp ended 2010 12 01 x Download Addinws File Type Description et RUN_20101201182415 ERROR bd Output description c i R RUN_20101201182415 run csv Output 2 description id SS RUN_20101201182415 log bd Output 3 description Fig 50
47. ls v Model Manuals v Cloud Services v Science Cases Documents v Info v RESOURCE MANAGER File Editor EJ Workspace myfirstWS Configuration File opt_and_struct_csv 9 lt Operation Description z FR s It creates a new file containing only the selected Feature Selection a 1 coll Float m og It creates a new file containing the new ordering of 2 col Float mi 58 Cohen Ordering columns as specified in the column fields con 5 i 3 cols Float It creates a new file containing the sorted rows by eee COREN specifying the column reference index 4 cols Float File Name optAndStruct Column Shuffle It creates a new file containing shuffled columns 5 cols Float ji Row Shuffle t creates a new file containing shuffled rows 6 cole Float It creates as many new files as desired each 7 corr Float Split by Rows containing the specified percentage of rows The 8 cols Float gt 4 99 rows distribution can be randomly extracted 9 colg Double Use only numerical Dataset Dataset Scale It creates a new file containing all data scaled in the 10 colto Double selected range 1 1 or 0 1 i ge i colti Double File Name optAndStruct It creates a new file containing a single column data scaled in the selected range 1 1 or 0 1 I 12 col12 Short leaving unmodified the other columns in the original order Single Column Scale Fig 29 The Split by Rows operation step 1 DAME Applica
48. n fields 3 col Float aii Sort Rows by Column It creates a new file containing the sorted rows by Select x y specifying the column reference index 4 col Float Index Column Shuffle it creates a new file containing shuffled columns 5 cols Float Output File optAndStruct Row Shuffle It creates a new file containing shuffled rows cole Float Name It creates as many new files as desired each 7 col Float Split by Rows containing the specified percentage of rows The 8 cols Float rows distribution can be randomly extracted Use only numerical Dataset 9 col Double Dataset Scale It creates a new file containing all data scaled in the 10 col10 Double selected range 1 1 or 0 1 11 col11 Double t creates a new file containing a single column data scaled in the selected range 1 1 or 0 1 12 col12 Short leaving unmodified the other columns in the original order Single Column Scale 143 225 93 239 8080 MyDameFE Fig 33 The Single Column Scale operation step 1 Available in next releases Fig 34 The Single Column Scale operation the new file created 3 5 3 Download data All data files not only those of supported type listed in the workspace and or in the experiment panels respectively Files Manager and Experiment Manager can be downloaded by the user on his own hard disk by simply selecting the icon labelled with Download in the mentioned panels 3 5 4 Moving
49. ning learning phase in which the model is trained with the user available BoK 30 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program Logout App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v Info v RESOURCE MANAGER File Editor EJ Experiment Setup Select a Functionality Select a Running Train p ion_MLP Regression_ Mode Field is Required Train Set v Validation Set v Network File ly number of input nodes number of nodes for hidden layer number of output nodes number of iterations error tolerance training mode 1 MSE Batch 2 MSE Incremental Submit Fig 38 The configuration options in the Train use case e Test a sort of validation of the training phase It can done by submitting the same training dataset or a subset or a mix between already submitted and new dataset patterns DAME Application Logout L App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v Info v RESOURCE MANAGER File Editor EJ Experiment Setup EJ select a Regression_MLP lo Select a Running sedi eit rina Functionality L Mode ae Field is Required Test Set v Network File Submit Fig 39 The configuration options in the Test use case e Run normal use of the already trained m
50. not implies necessarily that in next releases of the application these requests will not taken into account Anyway we tried to satisfy as much as possible main requests concerning the improvement of ease to use Also in terms of examples and guided tours in using the available models Don t forget that neophyte users should spend a certain amount of time to read this and other manuals to learn their capabilities and usability topics before to move inside the application This is particularly true in order to understand how to identify the right association of functionality domain and the data mining model to be applied to your own science case But we recall that this is fully reachable by gaining experience with time and through several trial and error sessions 2 Purpose This manual is mainly dedicated to drive users through the GUI options and features In other words to show how to navigate and to interact with the application interface in order to create working spaces experiments to upload download and edit data files We will stop our discussion here at level of configuration of the models for which specific manuals are available This in order to separate the use of the GUI from the theoretical implications related to the setup and use of available data mining models The access gateway to the f release its complete documentation package and other resources is at the following address page beta_info html of the website http voneu
51. odel DAME Application Logout App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v Info v RESOURCE MANAGER File Editor EJ Experiment Setup Select A Regression _MLP Selecta Running Run Functionality Mode Field is Required Run Set v Network File v Fig 40 The configuration options in the Run use case 31 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved e Full the complete and automatic serialized execution of the three previous use cases train test and Run It is a sort of workflow considered as a complete and exhaustive experiment for a specific problem DAME Application Logout he App Manuals Model Manuals i Cloud Services Science Cases v Documents v Info di RESOURCE MANAGER File Editor E Experiment Setup Select a anette AT DI Zag cta Running prc n Field is Required Train Set Validation Set Test Set Network File lt al ala number of input nodes number of nodes for hidden layer number of output nodes number of iterations error tolerance training mode 1 MSE Batch 2 MSE Incremental Fig 41 The configuration options in the Full use case In all the above use case tabs the help button redirects to a specific web
52. oming from machine learning theory which have been scientifically validated by applying them offline in several practical astrophysical cases photometric redshifts quasar candidate selection globular cluster search transient discovery etc All cases dealing with time domain data rich astronomy In this scenario the a release has covered the role of an advanced prototype useful to evaluate tune and improve main features of the web application basically in terms of e User friendliness by taking care of the impact on new users not necessarily expert in data mining or skilled in machine learning methodologies by paying particular attention to the easiness of navigation through GUI options and to the learning speed in terms of experiment selection preprocessing setup and execution e Data I O handling easiness to upload download data files to edit and configure datasets from original data files and or archives e Workspace handling the capacity to create different work spaces depending on the experiment type and data mining model choice Of course in the new release it was impossible to match all important and valid suggestions came from the a release testers In principle not for bad will of developers but mostly because in some cases the requests would needed drastic re engineering of some infrastructure components or simply because they went against our design requirements issued at the very beginning of the project Of course this
53. pload Experiment g Rename n a 64 N Delete How DAME Works v Files Manager et B P v Experiment Manager Experiment Logout e v Services amp Apps Get Support v About DAME Stuff x m Dataset File Type Last Access Delete ib myNewDatasetcolumnSubset fits 2010 06 22 gt h mySecondDatasetcolumnSort fits 2010 06 22 x i myThirdDatasetrowSort fits 2010 06 22 x a TRAIN fits myThirdDatasetrow Sort x Status Last Access gt Delete No tems to show Fig 24 The Sort Rows by Column operation the new file created 3 5 2 4 Column Shuffle This dataset operation permits to operate a random shuffle of the columns contained in the original data file The result is the creation of a new file of the same type and with the same extension of the original file named as shuffle_ lt user selected name gt i e with specific prefix shuffle Details of the simple procedure are reported in Fig 25 and Fig 26 23 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program Logout App Manuals 7 Model Manuals gt Cloud Services 7 Science Cases 7 Documents 7 Info RESOURCE MANAGER File Editor EJ Workspace myfirstWS i File opt_and_struct_csv __ pees xX Operation Description ITER TEER a Output
54. ral na infn it beta_info html DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program Last pages of this document host tables with Abbreviations amp Acronyms Reference and Applicable document lists and the acknowledgments All over the document the references are labeled as Rxx for Reference documents and Axx for Applicable documents xx is the incremental index as reported in the list tables Applicable documents are not public references technical documents internal to the DAME working group included for quick technical references Users external to the working group may ask to consult privately these documents by e mail motivating the reasons The complete list of the internal documentation is available at the following address of the program official website http voneural na infn it DAME DOCUMENTATION LIST html Notes for readers Further updates of this document are periodically produced Please check new versions publication on the p release access web page http voneural na infn it beta_info html DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program 3 B release GUI Overview following The DMS is a web application accessible through a simple
55. scientific data mining experiments Resources can be data files uploaded in the workspace by the user files resulting from some manipulations of these data files 1 e dataset files containing subsets of data files selected by the user as input files for his experiments eventually normalized or re organized in some way see section 3 5 for details Resources can also be output files i e obtained as results of one or more experiments configured and executed in the current active workspace see section 3 6 for details The user can create a new or select an existing workspace by specifying its name After opening the workspace this automatically becomes the active workspace This means that any further action manipulating files configuring and executing experiments upload download files will result in the active workspace Fig 7 In this figure it is also shown the right sequence of main actions in order to operate an experiment workflow in the correct way Workspace 1 create open a ia el workspace ie m The user can w A a set upload download files from to remote URI 2 upload edit Dataset files data files e edit data files create and launch an experiment navigate through experiments 3 create configure move files from experiment to workspace experiments List of input files configuration files output files experiment experiment A 4 launch experiments
56. tion Logout App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v Info v RESOURCE MANAGER Workspace v File Manager I Workspace is New Workspace myfirstWS 1 Dow Edt File Type Last Access MX Dele Rename gt Workspace i Upioad e Experiment Delete l opt_and_struct csv csv 2010 11 30 x 4 fi Mvfirstws ca di x ye sn os rowShuffle_optAndStruct csv 2010 12 01 x oO secondWs ca Er gt _ a ja e o rowSort_optAndStruct csv 2010 12 01 X gt shuffle_optAndStruct csv 2010 12 01 x cl o gt spiit30_optAndStruct csv 2010 12 01 gt Ta m N 1 1 spiit70_optAndStruct csv 2010 12 01 x cem y c Q sin spit70_optandstruct x 4 Li v My Experiments Workspace myfirstWS Experiment Status Last Access 3 Delete b piri ended 2010 11 30 x Fig 30 The Split by Rows operation the new files created 26 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program 3 5 2 7 Dataset Scale This dataset operation that works on numerical data files only permits to normalize column data in one of two possible ranges respectively 1 1 or 0 1 This is particularly frequent in machine learning experiments to submit normalized data in order to achieve a correct training of internal patterns The result is the creation of a new file
57. training test and validate the algorithm chosen for the experiment This pre processing is generally made by applying one or more modification to the original data file for example obtained from any astronomical observation run or cosmological simulation The operations available in the web application are the following Fig 16 Feature Selection Columns Ordering Sort Rows by Column Column Shuffle Row Shuffle Split by Rows Dataset Scale Single Column Scale All these operations one by one can be applied starting from a selected data file uploaded in the currently active workspace DAMEWARE Beta Release GUI User Manual 17 This document contains proprietary information of DAME project Board All Rights Reserved RESOURCE MANAGER Workspace my firsts File opt_and_struct_ csv lt Operation Feature Selection Columns Ordering Sort Rows by Column Column Shuffle Row Shuffle Split by Rows App Manuals si DAta Mining amp Exploration Program Model Man uals Upload in myfirstWS Workspace D File Editor El Description creates a new file containing only the selected columns creates a new file containing the new ordering of columns 35 specified in the column fields It creates a new file containing the sorted rows by specifying the column reference index it creates a new file containing shuffled columns It creates a new file containing shuffled rows It creates as many ne
58. use case selected when a network for example the MLP model has been already trained i e after training use case already executed DAME Application Logout App Manuals v Model Manuals v Cloud Services v Science Cases Documents v Info v RESOURCE MANAGER File Editor EJ Experiment Setup Q HRA Regression _MLP Select a Running Functionality Mode Train y Field is Required Train Set xor csv v Validation Set v Network File v number of input nodes N N number of nodes for hidden layer number of output nodes number of iterations error tolerance training mode 1 MSE Batch 2 MSE Incremental Submit Fig 44 An example of Regression_MLP training case for the XOR problem DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved 33 DAta Mining amp Exploration Program Logout Sy Model Manuals v Cloud Services Science Cases v Documents Info v RESOURCE MANAGER File Editor E3 Workspace File Manager Workspace New Workspace miss o o z l i E Dow Edit File Type Last Access Dele Rename Workspace J Upload Experiment Delete T i gt columnSubset dataset csv 2010 11 30 oO myfirstwWS a Er x x B optAndStruct_scaleOneCol csv 2010 12 01 gt 4 oO secondWs a er x B opt_and_stru
59. user would like to populate the workspace with data to be submitted as input for experiments Remember that in this section we are dealing with supported data formats only DAME Application Logout App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v Info RESOURCE MANAGER File Editor Upload in myfirstWS Workspace Workspace myfirstWS Upload Source v from Source URI Hard Disk Fig 12 The Upload data feature open in a new tab As shown in Fig 12 when the user selects the upload command label nr 6 in the Fig 6 a new tab appears The user can choose to upload his own data file from respectively from any remote URI a priori known or from his local Hard Disk In the first case upload from URI the Fig 13 shows how to upload a supported type file from a remote address 15 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program DAME Application Logout L App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v Info RESOURCE MANAGER File Editor Upload in myfirstWS Workspace Be Workspace myfirstWS Upload URI a from Rencuroe http voneural na infn it docu Location Select fits x Supported Type Upload ascii CSV fits votable other Fig 13 The Upload data from e
60. w file containing only the selected 4 col columns A 2 col Columns Ordering It creates a new file containing the new ordering of columns as specified in the column fields 3 cola It creates a new file containing the sorted rows by sort Rows hy Column specifying the column reference index oos Column Shuffle it creates a new file containing shuffled columns 5 cols Row Shuffle It creates a new file containing shuffled rows 6 cole it creates as many new files as desired each 7 co Split by Rows containing the specified percentage of rows The 8 cols rows distribution can be randomly extracted Use only numerical Dataset 9 co Dataset Scale It creates a new file containing all data scaled in the 10 col10 selected range 1 1 or 0 1 x 11 col11 It creates a new file containing a single column data scaled in the selected range 1 1 or 0 1 12 col12 A TA leaving unmodified the other columns in the original order 2 Piano di gestionedi pdf 7distretti doc Float Float Float Float Float Float Float Float Double Double Double Short Program Logout Se Science Cases v Documents v Info v Select 3 i OK Index Output File optAndStruct Name E Mostra tutti i download X Fig 23 The Sort Rows by Column operation step 2 DAME Application APPLICATION MANAGER Upload File in Workspace myExp1 Workspace Manager a New Workspace Workspace E U
61. w files as desired each containing the specified percentage of rows The Cloud Services Configuration rows distribution can be randomly extracted Use only numerical Dataset Dataset Scale It creates a new file containing all data scaled in the selected range 1 1 or 0 1 it creates a new file containing a single column data scaled in the selected range 1 1 or 0 1 leaving unmodified the other columns in the original order Single Column Scale Fig 16 The dataset editor tab with the list of available operations 3 5 2 1 Feature Selection This dataset operation permits to select and extract arbitrary number of columns contained in the original data file by saving them in a new file of the same type and with the same extension of the original file named as columnSubset_ lt user selected name gt i e with specific prefix columnSubset This function is particularly useful to select training columns to be submitted to the algorithm extracted from the whole data file Details of the simple procedure are reported in Fig 17 and Fig 18 18 DAMEWARE Beta Release GUI User Manual This document contains proprietary information of DAME project Board All Rights Reserved DAta Mining amp Exploration Program Logout App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v Info v RESOURCE MANAGER Upload in myfirstWS Workspace File Editor Wor
62. workflow always includes a well defined sequence of steps including pre processing or equivalently preparation of data training validation run and in some cases post processing The DMS permits to perform a complete workflow having the following features e A workspace to envelope all input output resources of the workflow e A dataset editor provided with a series of pre processing functionalities to edit and manipulate the raw data uploaded by the user in the active workspace see section 3 5 for details e The possibility to copy output files of an experiment in the workspace to be arranged as input dataset for subsequent execution the output of training phase should become the input for the validate run phase of the same experiment e An experiment setup toolset to select functionality domain and machine learning models to be configured and executed Functions to visualize graphics and text results from experiment output e A plugin based toolkit to extend DMS functionalities and models with user own applications 3 1 User Registration and Access The DMS makes use embedded to the end user of the Cloud computing infrastructure made by single PCs in combination with GRID resources This requires a reliable level of security in order to launch jobs experiments in a safe and coordinated way This level of security is obtained by an accounting procedure that foresees an initial registration for new users in order to activate the
63. ws by fort Bowe by Column specifying the column reference index 6 co Fina Column Shuffle tt creates a new file containing shuffled columns 4 cols Float Row Shuffle it creates a new file containing shuffled rows 5 cols Float It creates as many new files as desired each amp cols Float Split by Rows containing the specified percentage of rows The 7 col7 rows distribution can be randomly extracted Use only numerical Dataset 9 co Dataset Scale It creates a new file containing all data scaled in the I 10 colo Double selected range 1 1 or 0 1 A x i 11 col11 Double It creates a new file containing a single column data scaled in the selected range 1 1 or 0 1 12 col12 Short Single Colman Scale leaving unmodified the other columns in the original order 2 Piano di gestione di pdf W 7distretti doc z E Mostra tutti i download e e e Fig 20 The Column Ordering operation new order to columns DAME Application Logout Se App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v Info v RESOURCE MANAGER Workspace v File Manager Workspace Tg New Workspace mere _ E T_ Wi Dow Edt Fie Type Last Access X Dee g Rename I Workspace J Upioad J Experiment Delete FE columnSort_dataset csv 2010 12 01 a x oO myfirstWS z ri Et columnSort_optAndStruct csv 2010 12 01 x A x x gt Oo secondWs
64. xternal URI feature In the second case upload from Hard Disk the Fig 14 shows how to select and upload any supported file in the GUI workspace from the user local HD DAME Application Logout App Manuals Model Manuals Cloud Services v Science Cases v Documents v Info v RESOURCE MANAGER File Editor EJ Upload in myfirstWS Workspace E Workspace myfirstWS ps Hard Disk m csv z K DATASETS data_test_1_29Sep2010 43 Cerco data_test 1 295ep2010 dro IS dai a Organizza Nuova cartella 7 Fi Download s Nome s Ultima modifica Scegli file Nessun file selezionato 85 Risorse recenti rea r ag gt 23 09 2010 12 49 Upload File opt_and_struct 23 09 2010 12 49 tab_no 8 9 23 09 2010 13 17 4 Raccolte tab_no_8 9 10 23 09 2010 13 19 Documenti tab_no_8 9 11 23 09 2010 13 19 F hae tab_no 8 10 23 09 2010 13 17 tab_no_8 10 11 23 09 2010 13 18 E Video tab_no 8 11 23 09 2010 13 16 tab_no_9 10 23 09 2010 13 17 tab_no_9 10 11 23 09 2010 13 18 tab_no_9 11 23 09 2010 13 16 Computer amp Disco locale C cca RECOVERY D Hp Toni sie T il sal Nome file opt_and_struct N asu fit vizier_votable vot O Mostra tuttii download Fig 14 The Upload data from Hard Disk feature After the execution of the operation coming back to the main GUI tab the user will found the uploaded file in the Files Man
65. y information of DAME project Board All Rights Reserved DAME Application App Manuals v Model Manuals v Cloud Services v Science Cases v Documents v RESOURCE MANAGER File Editor 9 Workspace v File Manager mm Workspace Zz New Workspace myfirstWS C Dow Edit File Type Rename Workspace t Upload gi Experiment Delete 3 amp columnSubset_dataset csv I myfirstWS EA a x a et amp optAndStruct_scaleOneCol csv secondWs a a x i d opt_and_struct csv csv 3 xor csv csv v My Experiments Workspace 0 25 i myfirstyWS Experiment 4 myFirstExp 0 20 iu Download F gt AddinwS l a SI 0 15 e 0 10 z a amp 0 05 B amp 0 00 0 10 20 30 40 50 60 70 1 Fig 47 The training error scatter plot downloaded from the experiment output list x axis is the Status ended File TRAIN_20101201175955 tra TRAIN_20101201175955 csv jpeg TRAIN_20101201175955 csv TRAIN_20101201175955 log TRAIN_2010120117595S_netTmp mip training cycle y axis is the training mean square error Info v Last Access 2010 11 30 2010 12 01 2010 11 30 2010 11 30 Last Access 2010 12 01 Type csv jpeg csv txt mip Description Output 2 description Output 3 description Output 4 description Output 5 description Output 6 description DAta Mining amp Exploration Program Logout Me X X XX X Delete x Dele The Run case is hence

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