Examples of DrunkardJob

Examples of edu.cmu.graphchi.walks.DrunkardJob

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        }  else {
            companion = (RemoteDrunkardCompanion) Naming.lookup(companionUrl);
        }

        /* Configure walk sources. Note, GraphChi's internal ids are used. */
        DrunkardJob drunkardJob = this.drunkardMobEngine.addJob("personalizedPageRank",
                EdgeDirection.OUT_EDGES, this, companion);

        drunkardJob.configureSourceRangeInternalIds(firstSource, numSources, numWalksPerSource);
        drunkardMobEngine.run(numIters);

        /* Ask companion to dump the results to file */
        int nTop = 100;
        companion.outputDistributions(baseFilename + "_ppr_" + firstSource + "_"
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Examples of edu.cmu.graphchi.walks.DrunkardJob

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        }

        /* Step 1: Compute random walks */
        /* Configure walk sources. Note, GraphChi's internal ids are used. */

        DrunkardJob drunkardJob = this.drunkardMobEngine.addJob("twitterwtf",
                EdgeDirection.OUT_EDGES, this, companion);

        drunkardJob.configureSourceRangeInternalIds(firstSource, numSources, numWalksPerSource);
        drunkardMobEngine.run(numIters);


        // Empty from memory so can use cache in the SALSA
        this.drunkardMobEngine = null;
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Examples of edu.cmu.graphchi.walks.DrunkardJob

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        logger.info("Computed ALS, now random walks");

        /* Initialize drunkardmob */
        DrunkardMobEngine<Integer, Float> drunkardMobEngine = new DrunkardMobEngine<Integer, Float>(baseFilename, nShards, new IntDrunkardFactory());
        DrunkardJob positiveJob = drunkardMobEngine.addJob("positive", EdgeDirection.IN_AND_OUT_EDGES,
                new PositiveWalkUpdate(), new IntDrunkardCompanion(2, Runtime.getRuntime().maxMemory() / 8));
        DrunkardJob negativeJob = drunkardMobEngine.addJob("negative", EdgeDirection.IN_AND_OUT_EDGES,
                new NegativeWalkUpdate(), new IntDrunkardCompanion(2, Runtime.getRuntime().maxMemory() / 8));

        drunkardMobEngine.setEdataConverter(new FloatConverter());

        /* Create list of user vertices (i.e vertices on left). But we need to find their internal ids. */
        ALSMatrixFactorization.BipartiteGraphInfo graphInfo = als.getGraphInfo();
        VertexIdTranslate vertexIdTranslate = drunkardMobEngine.getVertexIdTranslate();
        ArrayList<Integer> userVertices = new ArrayList<Integer>(graphInfo.getNumLeft());

        int numUsers = 50000; // NOTE: hard-coded
        int walksPerSource = 1000;

        if (numUsers > graphInfo.getNumLeft())  graphInfo.getNumLeft();
        logger.info("Compute predictions for first " + numUsers + " users");

        for(int i=0; i< numUsers; i++) {
            userVertices.add(vertexIdTranslate.forward(i));
        }

        /* Configure */
        positiveJob.configureWalkSources(userVertices, walksPerSource);
        negativeJob.configureWalkSources(userVertices, walksPerSource);

       /* Run */
        drunkardMobEngine.run(6);


        /* TODO: handle results */
        for(int i=0; i< 500; i++) {
            int userId = vertexIdTranslate.forward(i);
            IdCount[] posTop = positiveJob.getCompanion().getTop(userId, 20);
            IdCount[] negTop =  negativeJob.getCompanion().getTop(userId, 20);

            double sumEstimatePos = 0.0;
            double sumEstimateNeg = 0.0;

            int n = Math.min(posTop.length, negTop.length);
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