 | Run 14708 |
| Creator | internal |
| Program | Bayesian Treed Gaussian Process |
| Dataset | easy-linear |
| Task type | Regression |
| Created | 28d17h ago |
| Download | Login required! |
Done! 
| 1m24s | |
| 126M | |
| Regression | |
| 0s | |
| 5.25e-07 | |
| 5s | |
| 1.59e-06 | |
| 5s |
Log file
also installing the dependencies ‘akima’, ‘maptree’ trying URL 'http://software.rc.fas.harvard.edu/mirrors/R/src/contrib/akima_0.5-4.tar.gz' Content type 'application/x-gzip' length 152618 bytes (149 Kb) opened URL ================================================== downloaded 149 Kb trying URL 'http://software.rc.fas.harvard.edu/mirrors/R/src/contrib/maptree_1.4-6.tar.gz' Content type 'application/x-gzip' length 69696 bytes (68 Kb) opened URL ================================================== downloaded 68 Kb trying URL 'http://software.rc.fas.harvard.edu/mirrors/R/src/contrib/tgp_2.4-2.tar.gz' Content type 'application/x-gzip' length 2654801 bytes (2.5 Mb) opened URL ================================================== downloaded 2.5 Mb * installing *source* package ‘akima’ ... ** libs gfortran -fpic -O3 -pipe -g -c akima.new.f -o akima.new.o gfortran -fpic -O3 -pipe -g -c akima433.f -o akima433.o gfortran -fpic -O3 -pipe -g -c akima697.f -o akima697.o gfortran -fpic -O3 -pipe -g -c idbvip.f -o idbvip.o gfortran -fpic -O3 -pipe -g -c idcldp.f -o idcldp.o gfortran -fpic -O3 -pipe -g -c idgrid.f -o idgrid.o gfortran -fpic -O3 -pipe -g -c idlctn.f -o idlctn.o gfortran -fpic -O3 -pipe -g -c idpdrv.f -o idpdrv.o gfortran -fpic -O3 -pipe -g -c idptip.f -o idptip.o gfortran -fpic -O3 -pipe -g -c idptli.f -o idptli.o gfortran -fpic -O3 -pipe -g -c idsfft.f -o idsfft.o gfortran -fpic -O3 -pipe -g -c idtang.f -o idtang.o gfortran -fpic -O3 -pipe -g -c idxchg.f -o idxchg.o gcc -I/usr/share/R/include -fpic -std=gnu99 -O3 -pipe -g -c init.c -o init.o gfortran -fpic -O3 -pipe -g -c tripack.f -o tripack.o gfortran -fpic -O3 -pipe -g -c ttidbs.f -o ttidbs.o gcc -shared -o akima.so akima.new.o akima433.o akima697.o idbvip.o idcldp.o idgrid.o idlctn.o idpdrv.o idptip.o idptli.o idsfft.o idtang.o idxchg.o init.o tripack.o ttidbs.o -lgfortran -lm -L/usr/lib/R/lib -lR installing to /tmp/akima/libs ** R ** data ** preparing package for lazy loading ** help *** installing help indices ** building package indices ... ** testing if installed package can be loaded * DONE (akima) * installing *source* package ‘maptree’ ... ** R ** data ** inst ** preparing package for lazy loading ** help *** installing help indices ** building package indices ... ** testing if installed package can be loaded * DONE (maptree) * installing *source* package ‘tgp’ ... ** libs gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c all_draws.c -o all_draws.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c base.cc -o base.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c bessel_k.c -o bessel_k.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c corr.cc -o corr.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c dopt.c -o dopt.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c exp.cc -o exp.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c exp_sep.cc -o exp_sep.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c gen_covar.c -o gen_covar.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c gp.cc -o gp.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c gridcalc.c -o gridcalc.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c lh.c -o lh.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c lik_post.c -o lik_post.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c linalg.c -o linalg.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c list.cc -o list.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c matern.cc -o matern.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c matrix.c -o matrix.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c miwawrapper.c -o miwawrapper.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c model.cc -o model.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c mr_exp_sep.cc -o mr_exp_sep.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c mstructs.cc -o mstructs.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c orschm.c -o orschm.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c orthant.c -o orthant.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c params.cc -o params.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c predict.c -o predict.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c predict_linear.c -o predict_linear.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c rand_draws.c -o rand_draws.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c rand_pdf.c -o rand_pdf.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c randomkit.c -o randomkit.o gcc -I/usr/share/R/include -DRPRINT -fpic -std=gnu99 -O3 -pipe -g -c rhelp.c -o rhelp.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c sim.cc -o sim.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c temper.cc -o temper.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c tgp.cc -o tgp.o g++ -I/usr/share/R/include -DRPRINT -fpic -O3 -pipe -g -c tree.cc -o tree.o g++ -shared -o tgp.so all_draws.o base.o bessel_k.o corr.o dopt.o exp.o exp_sep.o gen_covar.o gp.o gridcalc.o lh.o lik_post.o linalg.o list.o matern.o matrix.o miwawrapper.o model.o mr_exp_sep.o mstructs.o orschm.o orthant.o params.o predict.o predict_linear.o rand_draws.o rand_pdf.o randomkit.o rhelp.o sim.o temper.o tgp.o tree.o -llapack -lblas -lgfortran -lm -L/usr/lib/R/lib -lR installing to /tmp/tgp/libs ** R ** data ** demo ** inst ** preparing package for lazy loading ** help *** installing help indices ** building package indices ... ** testing if installed package can be loaded * DONE (tgp) The downloaded packages are in ‘/tmp/RtmpamHcvl/downloaded_packages’ ===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train [1] "/usr/lib/R/bin/exec/R" "--slave" "--no-restore" [4] "--file=./run" "--args" "learn" [7] "../dataset2/train" === END program1: ./run learn ../dataset2/train --- OK [0s] ===== MAIN: predict/evaluate on train data ===== === START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in === END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [0s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out burn in: r=1000 d=[0.000830844]; n=4 r=2000 d=[0.0136041]; n=4 r=3000 d=[0.0345229]; n=4 r=4000 d=[0.0159333]; n=4 r=5000 d=[0.117648]; n=4 Sampling @ nn=4 pred locs: r=1000 d=[0.121431]; mh=1 n=4 r=2000 d=[0.0590976]; mh=1 n=4 r=3000 d=[0.0194305]; mh=1 n=4 r=4000 d=[0.790941]; mh=1 n=4 r=5000 d=[1.38197]; mh=1 n=4 r=6000 d=[0.972647]; mh=1 n=4 r=7000 d=[1.24126]; mh=1 n=4 r=8000 d=[1.1423]; mh=1 n=4 r=9000 d=[0.0138473]; mh=1 n=4 r=10000 d=[0.97331]; mh=1 n=4 r=11000 d=[0.630021]; mh=1 n=4 r=12000 d=[0.795804]; mh=1 n=4 r=13000 d=[1.99787]; mh=1 n=4 r=14000 d=[1.17547]; mh=1 n=4 r=15000 d=[1.16149]; mh=1 n=4 Grow: 0%, MSE: 11.50036 === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [5s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [0s] ===== MAIN: predict/evaluate on test data ===== === START program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in === END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [0s] === START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out burn in: r=1000 d=[0.013529]; n=4 r=2000 d=[0.00452176]; n=4 r=3000 d=[0.0886726]; n=4 r=4000 d=[0.0783252]; n=4 r=5000 d=[0.765004]; n=4 Sampling @ nn=1 pred locs: r=1000 d=[0.978146]; mh=1 n=4 r=2000 d=[0.53343]; mh=1 n=4 r=3000 d=[0.729618]; mh=1 n=4 r=4000 d=[1.10592]; mh=1 n=4 r=5000 d=[1.17678]; mh=1 n=4 r=6000 d=[0.773776]; mh=1 n=4 r=7000 d=[0.641531]; mh=1 n=4 r=8000 d=[0.802202]; mh=1 n=4 r=9000 d=[1.28752]; mh=1 n=4 r=10000 d=[1.10051]; mh=1 n=4 r=11000 d=[0.701057]; mh=1 n=4 r=12000 d=[0.0672418]; mh=1 n=4 r=13000 d=[0.0013853]; mh=1 n=4 r=14000 d=[0.0474307]; mh=1 n=4 r=15000 d=[0.856898]; mh=1 n=4 Grow: 0%, MSE: 8.992443 === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [5s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s] real 1m27.603s user 0m48.851s sys 0m7.260s
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