Hi Niketan, 1. +1
2. these are the datasets and their corresponding results. 1. Test with getRandomMatrix(2468, 1007, 0, 1, sparse?sparsity2:sparsity1, -1); 23:45:04 Running org.apache.sysml.test.integration.mlcontext.algorithms.MLContextGLMTest 23:45:04 Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 7.43 sec - in org.apache.sysml.test.integration.mlcontext.algorithms.MLContextGLMTest 1. Test with getRandomMatrix(10, 3, 0, 1, sparse?sparsity2:sparsity1, -1); failure at org.apache.sysml.test.integration.mlcontext.algorithms.MLContextGLMTest.testGLMPoissonSparse(MLContextGLMTest.java:49) BEGIN GLM SCRIPT Reading X... Reading Y... BEGIN IRLS ITERATIONS... Iter #1 completed, ||z|| = 0.0E0, trust_delta = 1.1006E0, reached = 0, ||g|| = 0.0E0, new_log_l = -InfinityE0, log_l_change = -InfinityE0, rho = 0.0E0 Iter #2 completed, ||z|| = 0.0E0, trust_delta = 2.7515E-1, reached = 0, ||g|| = 0.0E0, new_log_l = -InfinityE0, log_l_change = -InfinityE0, rho = 0.0E0 Iter #3 completed, ||z|| = 0.0E0, trust_delta = 6.8787E-2, reached = 0, ||g|| = 0.0E0, new_log_l = -InfinityE0, log_l_change = -InfinityE0, rho = 0.0E0 Iter #4 completed, ||z|| = 0.0E0, trust_delta = 1.7197E-2, reached = 0, ||g|| = 0.0E0, new_log_l = -InfinityE0, log_l_change = -InfinityE0, rho = 0.0E0 Iter #5 completed, ||z|| = 0.0E0, trust_delta = 4.2992E-3, reached = 0, ||g|| = 0.0E0, new_log_l = -InfinityE0, log_l_change = -InfinityE0, rho = 0.0E0 Did not converge. Duration: 644ms On Thu, Sep 7, 2017 at 11:49 PM, Niketan Pansare <npan...@us.ibm.com> wrote: > > > Hi Janardhan, > > 1. You can ignore the message as it is warning not an error, especially if > 'Initialization of *str* depends on *if-else* execution' is intentional. > > 2. What dataset are you using? > > Thanks > > Niketan > > > On Sep 5, 2017, at 9:32 AM, Janardhan Pulivarthi > <janardhan.pulivar...@gmail.com> wrote: > > > > Hi, > > > > 1. *Parser Error:*This is one problem encountered during testing of GLM > > scripts. I have fixed this problem by initializing before the script, but > > can we do it the other way? > > > > @ > > > https://urldefense.proofpoint.com/v2/url?u=https-3A__github. > com_apache_systemml_blob_1cbfdef3fad5235b692c372ec94bca > de7f1b9ff9_scripts_algorithms_GLM-2Dpredict.dml-23L329&d= > DwIBaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=HzVC6v79boGYQrpc383_ > Kao_6a6SaOkZrfiSrYZVby0&m=Jy-epXDFgeWR8lxdj1kBB3n- > Pquo82XGVOyIcKWXqNU&s=dp_ZZRT1E3CgaQyythr7IBqBJC1Ezk9ZeopnRM_U0ik&e= > > > > > *dml script:* > > ``` > > if (fileO != " ") { > > write (str, fileO); > > } else { > > print (str); > > } > > ``` > > *Test script with MLContext*: > > ``` > > glmp.in("X", X).in("Y", Y).in("B", B)......out("means").out("*str*"); > ml. > > execute(glmp); > > ``` > > *Error thrown:* > > *```* > > WARN parser.StatementBlock: WARNING: [line 329:8] -> *str* -- > > Initialization of *str* depends on *if-else* execution > > > > ``` > > > > 2. *Test matrix:* When I have tested the `*GLM.dml*` script with > > matrix *10x3*, the solution did not converge, > > So, I have opted for the *2468x1007* matrix, but what is probably the > > best matrix size for testing with MLContext. > > > > > > Thank you, > > Janardhan >
