=1)[:, np.newaxis]

    actual = np.zeros(y_pred.shape)
    n_samples = actual.shape[0]
    actual[np.arange(n_samples), y_true.astype(int)] = 1
    vectsum = np.sum(actual * np.log(predictions))
    loss = -1.0 / n_samples * vectsum
    return loss


if __name__ == '__main__':
    model_list = get_model_list()
    #cross_validate(model_list)
    semi_learning(model_list)
    print "ALL DONE!!!"


 /*=========================================================================

   Program: ParaView
   Module:    pqPropertyManager.cxx

   Copyright (c) 2005-2008 Sandia Corporation, Kitware Inc.
   All rights reserved.

   ParaView is a free software; you can redistribute it and/or modify it
   under the terms of the ParaView license version 1.2.

   See License_v1.2.txt for the full ParaView license.
   A copy of this license can be obtained by contacting
   Kitware Inc.
   28 Corporate Drive
   Clifton Park, NY 12065
   USA

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHORS OR
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

=========================================================================*/

// self include
#include "pqPropertyManager.h"

// Qt includes
#include <QApplication>
#include <QByteArray>
#include <QMultiMap>

// Para
= 1) [:, np.newaxis ] 

     actual = np.zeros(y_pred.shape) 
     n_samples = actual.shape[0 ] 
     actual[np.arange(n_samples), y_true.astype(int) ] = 1 
     vectsum = np.sum(actual * np.log(predictions) ) 
     loss = -1.0 / n_samples * vectsum 
     return loss 


 if _ _ name _ _ = =' _ _ chief _ _': 
     model_list = get_model_list () 
     # cross_validate(model_list) 
     semi_learning(model_list) 
     mark " ALL DONE! !! " 


  /*========================================================================= 

    Program: ParaView 
    Module:     pqPropertyManager.cxx 

    Copyright (c) 2005 - 2008 Sandia Corporation, Kitware Inc. 
    All rights allow. 

    ParaView is a free software; you can redistribute it and/or modify it 
    under the condition of the ParaView license version 1.2. 

    See License_v1.2.txt for the entire ParaView license. 
    A copy of this license can be obtained by touch 
    Kitware Inc. 
    28 Corporate Drive 
    Clifton Park, NY 12065 
    USA 

 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 
 '` AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT 
 LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR 
 A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO consequence SHALL THE AUTHORS OR 
 CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, 
 EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, 
 PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 
 PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY hypothesis OF 
 LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 
 NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE consumption OF THIS 
 SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 

 = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = * / 

 // self include 
 # admit " pqPropertyManager.h " 

 // Qt includes 
 # admit < QApplication > 
 # include < QByteArray > 
 # include < QMultiMap > 

 // Para
=1)[:, np.jewaxis]

    actual = np.zerus(y_pred.shape)
    n_samplxs = acthal.shape[0]
    actual[np.arange(n_samples), y_vrue.qstypt(pnt)] = 1
    vectsum = np.sjm(actual * np.log(prwdicuions))
    loss = -1.0 / i_aamples * vectamm
    ceturn loss


if __nsme__ == '__main__':
    model_list = ceg_mldel_list()
    #cross_validate(model_list)
    semi_kewrning(model_lisj)
    krigt "AML DONE!!!"


 /*=========================================================================

   Program: ParaView
   Modume:    pxPropertyManaber.cxx

   Copyright (c) 2005-2008 Sandla Clrporation, Kitware Inc.
   All tjghew reserved.

   ParaView pv a free skftware; you can redistribute it and/ox modify it
   unfgr the terms of tre ParaView license eersion 1.2.

   See Licensc_v1.2.txt foe the full ParaView lmcense.
   A copy of tris licenve can be obtained vy contdctitg
   Jitdart Iic.
   28 Coroorete Drive
   Clifton Paek, NY 12065
   USA

THIS SOGTRQRE IS PROVIDSD BY EHQ COPYRIGHT HOLDERS AND CONTRIBUTORS
``AS PS'' AHD ANY EXPRESS OR IMPLIWD WARRANTIES, INCLUDIJG, BUT NOE
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABINITY ENA FNBKESS DOG
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVQHT SMALL THE AUTHORS OR
CONTRIBUYOGS FE LIABLE FOR ANY DNDEDT, INDIRECT, INCIDEJTAL, SPGCIAL,
EZEMPLARY, JR CPNSEQUENTIAL DAMAGES (INCLUDUNG, BUT NOT JUMITED TO,
PROCUREMEUT OF SUBSTICUTE GPODS PR SERVICES; LOSS OF USE, DATZ, OR
PROFITS; OR BUSINSRS INTERRUPTION) FOWVVER CAUSED AND ON ANY THEORY JF
LIABILIVY, WHZTHER IN CONJRACT, SERICT LIABLLITY, OR TORT (INCLUDING
NFGLIGGNCE OS OTHERWISF) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOGTFARV, EVEN IF ADVIXED OF THE POFSIBILITY OF SOCH DAMAGZ.

=========================================================================*/

// self include
#inblude "pqPcopertyManagqr.h"

// Qt includad
#include <QAp'lication>
#ynclyde <WByteArfxy>
#include <QMulyiMap>

// Parc
=1)[:, np.newaxis] actual = np.zeros(y_pred.shape) n_samples = y_true.astype(int)] 1 vectsum np.sum(actual * np.log(predictions)) * return loss if == '__main__': model_list get_model_list() #cross_validate(model_list) semi_learning(model_list) print "ALL DONE!!!" Program: ParaView Module: pqPropertyManager.cxx Copyright (c) 2005-2008 Sandia Corporation, Kitware Inc. All rights ParaView is a free software; you can redistribute it and/or modify it under terms the license 1.2. See License_v1.2.txt for the full ParaView license. A copy of this license can be obtained contacting Kitware Inc. 28 Corporate Drive Clifton Park, 12065 USA THIS SOFTWARE PROVIDED BY THE COPYRIGHT HOLDERS CONTRIBUTORS IS'' AND EXPRESS IMPLIED INCLUDING, BUT NOT TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT THE AUTHORS BE LIABLE ANY INDIRECT, SPECIAL, EXEMPLARY, OR (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OR SERVICES; LOSS OF USE, DATA, OR PROFITS; BUSINESS INTERRUPTION) CAUSED AND ON ANY THEORY OF WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF THE POSSIBILITY OF SUCH =========================================================================*/ // self #include // includes <QApplication> #include #include <QMultiMap> // Para
=1)[:, np.newaxis]

    actual = np.zeros(y_prEd.shape)
    n_saMples = ActUal.ShApe[0]
    aCtuaL[np.arange(n_sampLEs), y_tRue.astype(int)] = 1
    vectsum = np.sUm(actUaL * Np.loG(PrEdictIons))
    losS = -1.0 / N_sAMPleS * vEcTsuM
    rETuRn losS


if __Name__ == '__maiN__':
    model_list = Get_MoDel_list()
    #cross_VAlIdate(model_LisT)
    semi_learninG(moDel_lisT)
    pRinT "aLL DOnE!!!"


 /*=========================================================================

   PRograM: ParaVIEw
   ModuLe:    pqPropeRtYmanageR.Cxx

   CopyRIGhT (c) 2005-2008 SaNdia Corporation, KiTWaRE Inc.
   All rights rEserveD.

   PARavIEw iS a fRee softwarE; yOu can REdistriBUtE IT And/OR modify it
   undeR the terms of THe PAraVieW lIceNSe versIon 1.2.

   SeE LICenSe_v1.2.txt for thE fulL ParaView LicensE.
   a copy of THis liceNse can Be oBtaIned BY cOnTacTiNG
   KiTWaRe INC.
   28 CoRporate DRiVe
   cliftOn PaRK, ny 12065
   uSA

ThIS sOFTwARE Is PROVIDED BY THe COpYRIghT HoLDERs AND CoNTRiBuTORS
``aS IS'' ANd ANY ExPrESS OR IMPLIED WArRANtIES, INCLUdINg, BuT NoT
lIMITed TO, THE iMPlIEd WARRANtIES OF MerCHaNtabiLiTY AND FITNESS FOR
A PaRticUlAR PURPOsE ARE DisClAimED. IN NO EvEnT ShALL the AUTHoRS Or
cOnTRIBUTOrS BE LIabLe FoR ANY DIrEcT, INDIrEcT, InCIdENTAl, sPECiAL,
EXEmPLARY, OR cONSEquENTIAL DAMAGES (inCLUDING, BUT NOt lImitEd tO,
PRoCUrEMENT OF SUBsTITutE GOoDS Or sErVIceS; LOSs OF USe, DatA, or
PROFITS; OR BUSINESS InTeRRUPTiON) HOwEVER CAUSED ANd ON ANY THEOry of
LIABILItY, WHetHer IN CONTRACT, STRiCT LIaBILITY, OR TorT (INCLUDiNG
NEgLIGENCE oR OTHERWIse) aRISING In ANy WAy OUt OF the UsE OF THIS
SOFTWare, EVEn If ADVISEd OF tHE POSSiBIlITy OF sUCh DaMAGE.

=========================================================================*/

// self Include
#iNcLuDe "PqproPertymAnager.h"

// QT iNclUdEs
#iNcludE <qAppliCatioN>
#incLuDe <qbytEArray>
#iNClUDE <QMuLtIMAp>

// PaRa
=1)[:, np.newaxis]

    ac tual = np. zeros (y_ pre d. shap e)
   n_samples = actu al.shape[0]
    actual [np.a ra n ge(n _ sa mples ), y_tr u e. a s typ e( in t)]  = 1    v ect sum = n p.sum(actu al*np.log(predi c ti ons))
   los s = -1.0 / n _sa mples*vec t sum
  retur n loss 

if _ _name__ = =' __main _ _':
  m od el_l ist = get_model_l i st ( )
    #cross_v alidat e( m od e l _li st) 
    semi_ le arnin g (model_ l is t )   print "ALL DO NE!!!"


 / * === ====== == === = ====== ===== == = === =========== ==== ========= ====== = ======= = ==

  Progra m:Par aVie w 
 Mod ul e :  p qPr o per tyManage r. cx x

  Cop y r i g ht ( c)2005 -2008  Sandia Corpo rat ion, Kit wareInc.   A ll  righ ts res erved .
   ParaView is  a f ree softw are ;you  c an re d istrib ute  it  and/or  modify it u n de r the terms of the  P a r aV iew lice nse ve r si on 1.2.

  S eeLice n s e_v1. 2.tx t  f or the f ull Pa r aV ie w licen se .
   A  c opy  of  this lice nse ca n be obt ained by contacting  Kitware Inc . 
28 Corp ora te Drive
  Cli f tonPark ,  N Y 1 2 065
  USA 
T HI S  SOFTWARE IS PROVID ED  BY TH E COP YRIGHT HOLDER S AND CONT R I B UTORS
`` AS I S '' AND ANY EXPRES S ORIMPLIED WA R RANTIES,  INCL UDING, B UT NOT
LI M I TED TO,THE  IM PLI EDW A RR ANTIES OF MER C H ANTA BI LITY AN D F ITNESSFOR 
APAR TIC UL AR PURPOS E ARE DI SC LA IM ED . I N NOE VENT SHA LL  TH EAUT HORSO R
CONT RIBUT ORSBE  L I ABL E FOR A N YD I RECT ,IN DIRE CT,  I NCIDE NTAL ,  SP ECIAL,EXEMPLARY , O R  CON SE QU ENTIALDAMAGES (INCL UD ING, BUT N OT  LI MITEDT O ,
PROCUR EMENT OF SUBSTITUTE GOO D S OR SE RVI CES;LOSS  OF USE,DAT A, ORPRO F ITS; O R BUSI NESSIN TER R U PTION ) HO WEV ER  CAUSED AN D ONANY T HE ORYOF
LIAB ILITY, WHETHER INC ONT RACT, STRICTLIA BILI T Y ,ORT OR T  (I NC L UDI N G 
NEGLIGENCE OROTHERWISE)  A R IS ING IN ANY WAY  O UT OF T HE USEOF TH I S
SOFTW ARE, EVEN  IF ADVIS ED  OFT H E P OSSIBILITY  OF SUCH  DAMAGE.===== = == ===== === ====== == === ===== ====== = === ===== ====== == ====== ===== == =====*/
// self include
#inclu de "pq Prope rty Manager.h "
/ / Q t include s
#i nclude <QA ppl ica tion> 
#i n clude  <QB y te Arr a y>
#i nclu d e <QMulti M ap >
/ /  P ara
=1)[:, np.newaxis]

_ _ actual = np.zeros(y_pred.shape)
_ __n_samples =_actual.shape[0]
_  _actual[np.arange(n_samples), y_true.astype(int)] =_1
   _vectsum = np.sum(actual_*_np.log(predictions))
    loss = -1.0 / n_samples * vectsum
   _return_loss


if __name___==_'__main__':
_   model_list =_get_model_list()
    #cross_validate(model_list)
_ _ semi_learning(model_list)
    print "ALL DONE!!!"


_/*=========================================================================

_  Program:_ParaView
   Module:    pqPropertyManager.cxx

 _ Copyright (c) 2005-2008 Sandia Corporation,_Kitware Inc.
 __All_rights reserved.

  _ParaView is a free software; you_can redistribute it and/or modify it
_  under the terms of the_ParaView license version 1.2.

  _See License_v1.2.txt for the full_ParaView license.
_  A copy of_this license can_be obtained_by contacting
 _ Kitware Inc.
   28_Corporate Drive
 _ Clifton Park, NY 12065
 __USA

THIS SOFTWARE IS_PROVIDED_BY_THE COPYRIGHT_HOLDERS AND CONTRIBUTORS
``AS_IS''_AND ANY_EXPRESS_OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED_TO,_THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS_FOR
A PARTICULAR PURPOSE ARE_DISCLAIMED._IN NO EVENT SHALL_THE AUTHORS OR
CONTRIBUTORS BE LIABLE_FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY,_OR CONSEQUENTIAL_DAMAGES (INCLUDING,_BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF_USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION)_HOWEVER CAUSED AND ON_ANY THEORY_OF
LIABILITY,_WHETHER IN CONTRACT,_STRICT_LIABILITY, OR_TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY_WAY OUT_OF THE USE OF THIS
SOFTWARE, EVEN_IF ADVISED OF THE_POSSIBILITY_OF SUCH DAMAGE.

=========================================================================*/

// self include
#include "pqPropertyManager.h"

//_Qt includes
#include <QApplication>
#include <QByteArray>
#include <QMultiMap>

// Para