January 10, 2019
09:00 - 15:00
Instructors: Dmytro Perepølkin, Raoul Wolf, Athanasia Monika Mowinckel
Helpers: Dmytro Perepølkin, Raoul Wolf, Athanasia Monika Mowinckel
This is not a full Software Carpentry, but a self-organized R workshop based on H2O and data.table material.
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. This workshop assumes familiarity with principles of machine learning. Experience with running regression and classification models in R, including linear models and tree-based models. Experience with data manipulation packages (dplyr or data.table).
Where: Rom 126, Niels Henrik Abels Hus, 0851 Oslo. Get directions with OpenStreetMap or Google Maps.
When: January 10, 2019. Add to your Google Calendar.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). They are also required to abide by Software Carpentry's Code of Conduct.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organisers have checked that:
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch and we will attempt to provide them.
Contact: Please email contact-us@swcarpentry.uio.no for more information.
| 09:00 | Practial use case of H2O AutoML in R |
| 09:45 | Architecture of H2O, and H2O web interface |
| 09:45 | Review of ML concepts and application in H2O |
| 10:30 | Coffee |
| 10:45 | Closer look at algorithms and grid search |
| 12:00 | Lunch break |
| 12:45 | Data manipulation with data.table (i, j, by) |
| 13:45 | Coffee |
| 14:00 | Indices, merging and data reshaping with data.table |
| 15:00 | Wrap-up |
Etherpad: https://pad.carpentries.org/2019-01-10-H2O.
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
To participate in a Software Carpentry workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.
Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select "Run as administrator" instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.
Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
You can download the binary files for your distribution
from CRAN. Or
you can use your package manager (e.g. for Debian/Ubuntu
run sudo apt-get install r-base and for Fedora run
sudo yum install R). Also, please install the
RStudio IDE.
Java SE JRE End user running Java on a desktop: JRE: (Java Runtime Environment). Covers most end-users needs. Contains everything required to run Java applications on your system. Please, download and install 64-bit version of Java SE JRE. Installing Java SE JDK is optional
Install Java SE JRE by downloading and running JRE installer from ORACLE. The 64-bit JDK is required only to build H2O from source or run H2O tests. Pick Java version 7 or 8, specific for your platform. For Linux, OpenJDK may be an alternative to Oracle Java SE JDK.
H2O Fast Scalable Machine Learning API For Smarter Applications
Install H2O by copying and running snippet of code on Install in R tab from H2O Download page. H2O software is platform-independent, as long as you are running 64-bit instance of Java (see installation instructions above).