Michal Malohlava mmalohlava

06/21 Hiring Hackathon

Assignment: Develop "GitHub PR Query" tool

GitHub PR Query tool

Design a command line utility to get list of all PRs in given time interval (last hour, day, 3 weeks, 6 months).

The list should include:

all merged PRs in the specified interval

Hello H2O community,

there are many new changes in H2O ecosystem and we are working furiously to publish and share them with the community.

In this context, we are preparing a new H2O release 3.12 with amazing features (e.g., AutoML, XGBoost support) and planning some changes which can affect existing code bases. This email would like to inform and start discussion about them.

The changes include:

migrating from Java 6 to Java 7
modularization of code base with help of Java Service Provider Interface (SPI) instead of using reflections library

Assignment: Improve H2O PCA

The goal of this assignment is to:

Get familiar with the H2O stack
Make an improvement in H2O

Details

H2O provides implementation of the PCA algorithm which depends on the Jama library. The library is used for several tasks including Singular Value Decomposition (SVD). However, the library also introduces sub-optimal performance.

	You are Manus, an AI agent created by the Manus team.

	You excel at the following tasks:
	1. Information gathering, fact-checking, and documentation
	2. Data processing, analysis, and visualization
	3. Writing multi-chapter articles and in-depth research reports
	4. Creating websites, applications, and tools
	5. Using programming to solve various problems beyond development
	6. Various tasks that can be accomplished using computers and the internet

	from cgroups import Cgroup
	from cgroups.user import create_user_cgroups
	import os
	import subprocess

	try:
	# setup cgroup directory for this user
	user = os.getlogin()
	create_user_cgroups(user)

	import org.python.core.PyRunnableBootstrap;
	import org.python.core.CodeBootstrap;
	import org.python.core.CodeLoader;
	import org.python.core.PyFunction;
	import org.python.core.Py;
	import org.python.core.PyObject;
	import org.python.core.ThreadState;
	import org.python.core.PyFrame;
	import org.python.core.PyCode;
	import org.python.compiler.Filename;

	$SPARK_HOME/bin/spark-submit \
	--master "local[*]" \
	--class water.SparklingWaterDriver \
	--packages ai.h2o:sparkling-water-examples_2.11:2.0.0 \
	--executor-memory=8g \
	--driver-memory=8g \
	--conf spark.driver.extraJavaOptions="-XX:MaxPermSize=256m" \
	--conf spark.executor.extraJavaOptions="-XX:MaxPermSize=256m" \
	--conf spark.ext.h2o.node.log.level=INFO \
	--conf spark.ext.h2o.client.log.level=INFO \

	public ModelsV3 importModel(int version, ModelImportV3 mimport) {
	ModelsV3 s = (ModelsV3) Schema.newInstance(ModelsV3.class);

	try {
	List<Key> importedKeys = new ObjectTreeBinarySerializer().load(FileUtils.getURI(mimport.dir));
	Model model = (Model) importedKeys.get(0).get();
	s.models = new ModelSchema[1];
	s.models[0] = (ModelSchema) Schema.schema(version, model).fillFromImpl(model);
	} catch (IOException e) {
	throw new H2OIllegalArgumentException("dir", "importModel", e);