In order to enable an iCal export link, your account needs to have an API key created. This key enables other applications to access data from within Indico even when you are neither using nor logged into the Indico system yourself with the link provided. Once created, you can manage your key at any time by going to 'My Profile' and looking under the tab entitled 'HTTP API'. Further information about HTTP API keys can be found in the Indico documentation.
Additionally to having an API key associated with your account, exporting private event information requires the usage of a persistent signature. This enables API URLs which do not expire after a few minutes so while the setting is active, anyone in possession of the link provided can access the information. Due to this, it is extremely important that you keep these links private and for your use only. If you think someone else may have acquired access to a link using this key in the future, you must immediately create a new key pair on the 'My Profile' page under the 'HTTP API' and update the iCalendar links afterwards.
Permanent link for public information only:
Permanent link for all public and protected information:
The Day 2 Cog X You Tube Video has 3 interesting talks on the use of machine learning in research as part of the Alan Turing Data Science for Science Programme. This session starts at 2hr 20min into the video.
We will be using the following software for tutorials: ROOT for C++ based macros (using the HEP tool TMVA), and Anaconda for all Python based work (using SciKit Learn, TensorFlow and Keras). Please see below for version information and installation instructions.
The github repository containing the examples that we will be using is also given below.
Please install ROOT from the ROOT Download Page. Please note that the install file is 100-200MB, and may take some time to download. If you are installing from source, the download will be faster, but you will need to ensure that you compile with appropriate options to ensure the tmva package is built.
The TMVA examples have been written for ROOT version 6.20/04 (the current PRO version).
Please go to the anaconda install page and download the install file from there. The install files are several hundred MB, and so the download may take some time depending on your connection.
After installing Anaconda, please make sure you install the Spyder IDE as well as either the JupyterLab or Jupyter Notebook applications. These will be used for running the scripts and notebook examples, respectively.
After installing Anaconda, please make sure you install the following python packages:
Packages can be installed from the command line using pip(3) install <package name>, or via the anaconda navigator window by selecting "Environments", changing the pull down menu to "All" in the main window, and entering the package name under the "Search Packages" field. Having done that you should be able to click on the green button "Apply" which will create a dialogue box for the package install.
These can be downloaded from github using the following command, or by visiting the project URL: IntroToML.