Examples with Key water.Key used on opensource projects

Example 81 with Key

use of water.Key in project h2o-3 by h2oai.

the class PersistManager method anyURIToKey.

/** Convert given URI into a specific H2O key representation.
   *
   * The representation depends on persistent backend, since it will
   * deduce file location from the key content.
   *
   * The method will look at scheme of URI and based on it, it will
   * ask a backend to provide a conversion to a key (i.e., URI with scheme
   * 'hdfs' will be forwared to HDFS backend).
   *
   * @param uri file location
   * @return a key encoding URI
   * @throws IOException in the case of uri conversion problem
   * @throws water.exceptions.H2OIllegalArgumentException in case of unsupported scheme
   */
public final Key anyURIToKey(URI uri) throws IOException {
    Key ikey = null;
    String scheme = uri.getScheme();
    if ("s3".equals(scheme)) {
        ikey = I[Value.S3].uriToKey(uri);
    } else if ("hdfs".equals(scheme)) {
        ikey = I[Value.HDFS].uriToKey(uri);
    } else if ("s3".equals(scheme) || "s3n".equals(scheme) || "s3a".equals(scheme)) {
        ikey = I[Value.HDFS].uriToKey(uri);
    } else if ("file".equals(scheme) || scheme == null) {
        ikey = I[Value.NFS].uriToKey(uri);
    } else if (useHdfsAsFallback() && I[Value.HDFS].canHandle(uri.toString())) {
        ikey = I[Value.HDFS].uriToKey(uri);
    } else {
        throw new H2OIllegalArgumentException("Unsupported schema '" + scheme + "' for given uri " + uri);
    }
    return ikey;
}

Example 82 with Key

use of water.Key in project h2o-3 by h2oai.

the class AstVariance method array.

// Matrix covariance.  Compute covariance between all columns from each Frame
// against each other.  Return a matrix of covariances which is frx.numCols
// wide and fry.numCols tall.
private Val array(Frame frx, Frame fry, Mode mode, boolean symmetric) {
    Vec[] vecxs = frx.vecs();
    int ncolx = vecxs.length;
    Vec[] vecys = fry.vecs();
    int ncoly = vecys.length;
    if (mode.equals(Mode.Everything) || mode.equals(Mode.AllObs)) {
        if (mode.equals(Mode.AllObs)) {
            for (Vec v : vecxs) if (v.naCnt() != 0)
                throw new IllegalArgumentException("Mode is 'all.obs' but NAs are present");
            if (!symmetric)
                for (Vec v : vecys) if (v.naCnt() != 0)
                    throw new IllegalArgumentException("Mode is 'all.obs' but NAs are present");
        }
        CoVarTaskEverything[] cvs = new CoVarTaskEverything[ncoly];
        double[] xmeans = new double[ncolx];
        for (int x = 0; x < ncoly; x++) xmeans[x] = vecxs[x].mean();
        if (symmetric) {
            //1-col returns scalar
            if (ncoly == 1)
                return new ValNum(vecys[0].naCnt() == 0 ? vecys[0].sigma() * vecys[0].sigma() : Double.NaN);
            int[] idx = new int[ncoly];
            for (int y = 1; y < ncoly; y++) idx[y] = y;
            int[] first_index = new int[] { 0 };
            //compute covariances between column_i and column_i+1, column_i+2, ...
            Frame reduced_fr;
            for (int y = 0; y < ncoly - 1; y++) {
                idx = ArrayUtils.removeIds(idx, first_index);
                reduced_fr = new Frame(frx.vecs(idx));
                cvs[y] = new CoVarTaskEverything(vecys[y].mean(), xmeans).dfork(new Frame(vecys[y]).add(reduced_fr));
            }
            double[][] res_array = new double[ncoly][ncoly];
            //fill in the diagonals (variances) using sigma from rollupstats
            for (int y = 0; y < ncoly; y++) res_array[y][y] = vecys[y].naCnt() == 0 ? vecys[y].sigma() * vecys[y].sigma() : Double.NaN;
            //arrange the results into the bottom left of res_array. each successive cvs is 1 smaller in length
            for (int y = 0; y < ncoly - 1; y++) System.arraycopy(ArrayUtils.div(cvs[y].getResult()._covs, (fry.numRows() - 1)), 0, res_array[y], y + 1, ncoly - y - 1);
            //copy over the bottom left of res_array to its top right
            for (int y = 0; y < ncoly - 1; y++) {
                for (int x = y + 1; x < ncoly; x++) {
                    res_array[x][y] = res_array[y][x];
                }
            }
            //set Frame
            Vec[] res = new Vec[ncoly];
            Key<Vec>[] keys = Vec.VectorGroup.VG_LEN1.addVecs(ncoly);
            for (int y = 0; y < ncoly; y++) {
                res[y] = Vec.makeVec(res_array[y], keys[y]);
            }
            return new ValFrame(new Frame(fry._names, res));
        }
        // Launch tasks; each does all Xs vs one Y
        for (int y = 0; y < ncoly; y++) cvs[y] = new CoVarTaskEverything(vecys[y].mean(), xmeans).dfork(new Frame(vecys[y]).add(frx));
        // 1-col returns scalar 
        if (ncolx == 1 && ncoly == 1) {
            return new ValNum(cvs[0].getResult()._covs[0] / (fry.numRows() - 1));
        }
        // Gather all the Xs-vs-Y covariance arrays; divide by rows
        Vec[] res = new Vec[ncoly];
        Key<Vec>[] keys = Vec.VectorGroup.VG_LEN1.addVecs(ncoly);
        for (int y = 0; y < ncoly; y++) res[y] = Vec.makeVec(ArrayUtils.div(cvs[y].getResult()._covs, (fry.numRows() - 1)), keys[y]);
        return new ValFrame(new Frame(fry._names, res));
    } else {
        if (symmetric) {
            if (ncoly == 1)
                return new ValNum(vecys[0].sigma() * vecys[0].sigma());
            CoVarTaskCompleteObsMeanSym taskCompleteObsMeanSym = new CoVarTaskCompleteObsMeanSym().doAll(fry);
            long NACount = taskCompleteObsMeanSym._NACount;
            double[] ymeans = ArrayUtils.div(taskCompleteObsMeanSym._ysum, fry.numRows() - NACount);
            // 1 task with all Ys
            CoVarTaskCompleteObsSym cvs = new CoVarTaskCompleteObsSym(ymeans).doAll(new Frame(fry));
            double[][] res_array = new double[ncoly][ncoly];
            for (int y = 0; y < ncoly; y++) {
                System.arraycopy(ArrayUtils.div(cvs._covs[y], (fry.numRows() - 1 - NACount)), y, res_array[y], y, ncoly - y);
            }
            //copy over the bottom left of res_array to its top right
            for (int y = 0; y < ncoly - 1; y++) {
                for (int x = y + 1; x < ncoly; x++) {
                    res_array[x][y] = res_array[y][x];
                }
            }
            //set Frame
            Vec[] res = new Vec[ncoly];
            Key<Vec>[] keys = Vec.VectorGroup.VG_LEN1.addVecs(ncoly);
            for (int y = 0; y < ncoly; y++) {
                res[y] = Vec.makeVec(res_array[y], keys[y]);
            }
            return new ValFrame(new Frame(fry._names, res));
        }
        CoVarTaskCompleteObsMean taskCompleteObsMean = new CoVarTaskCompleteObsMean(ncoly, ncolx).doAll(new Frame(fry).add(frx));
        long NACount = taskCompleteObsMean._NACount;
        double[] ymeans = ArrayUtils.div(taskCompleteObsMean._ysum, fry.numRows() - NACount);
        double[] xmeans = ArrayUtils.div(taskCompleteObsMean._xsum, fry.numRows() - NACount);
        // 1 task with all Xs and Ys
        CoVarTaskCompleteObs cvs = new CoVarTaskCompleteObs(ymeans, xmeans).doAll(new Frame(fry).add(frx));
        // 1-col returns scalar 
        if (ncolx == 1 && ncoly == 1) {
            return new ValNum(cvs._covs[0][0] / (fry.numRows() - 1 - NACount));
        }
        // Gather all the Xs-vs-Y covariance arrays; divide by rows
        Vec[] res = new Vec[ncoly];
        Key<Vec>[] keys = Vec.VectorGroup.VG_LEN1.addVecs(ncoly);
        for (int y = 0; y < ncoly; y++) res[y] = Vec.makeVec(ArrayUtils.div(cvs._covs[y], (fry.numRows() - 1 - NACount)), keys[y]);
        return new ValFrame(new Frame(fry._names, res));
    }
}

Example 83 with Key

use of water.Key in project h2o-3 by h2oai.

the class AstRm method apply.

@Override
public ValNum apply(Env env, Env.StackHelp stk, AstRoot[] asts) {
    Key id = Key.make(env.expand(asts[1].str()));
    Value val = DKV.get(id);
    if (val == null)
        return new ValNum(0);
    if (val.isFrame())
        // Remove unshared Vecs
        env._ses.remove(val.<Frame>get());
    else
        // Normal (e.g. Model) remove
        Keyed.remove(id);
    return new ValNum(1);
}

Example 84 with Key

use of water.Key in project h2o-2 by h2oai.

the class Parse2 method serve.

@Override
protected Response serve() {
    PSetup p = _source.value();
    CustomParser.ParserSetup setup = p != null ? p._setup._setup : new CustomParser.ParserSetup();
    setup._singleQuotes = _sQuotes.value();
    destination_key = Key.make(_dest.value());
    try {
        // Make a new Setup, with the 'header' flag set according to user wishes.
        Key[] keys = p._keys.toArray(new Key[p._keys.size()]);
        Job parseJob = ParseDataset2.forkParseDataset(destination_key, keys, setup, delete_on_done.value());
        job_key = parseJob.self();
        // Allow the user to specify whether to block synchronously for a response or not.
        if (_blocking.value()) {
            // block until the end of job
            parseJob.get();
            assert Job.isEnded(job_key) : "Job is still running but we already passed over its end. Job = " + job_key;
        }
        return Progress2.redirect(this, job_key, destination_key);
    } catch (Throwable e) {
        return Response.error(e);
    }
}

Example 85 with Key

use of water.Key in project h2o-2 by h2oai.

the class PutValue method serve.

@Override
public Response serve() {
    JsonObject response = new JsonObject();
    Key k = Key.make(_key.value()._kb, (byte) (int) _rf.value());
    Value v = new Value(k, _value.value().getBytes());
    UKV.put(k, v);
    response.addProperty(KEY, k.toString());
    response.addProperty(REPLICATION_FACTOR, k.desired());
    response.addProperty(VALUE_SIZE, v._max);
    return Response.done(response);
}