Difference between revisions of "ML4T Software Installation"
(→Data) |
|||
| Line 38: | Line 38: | ||
== Data == | == Data == | ||
| − | |||
* Download: [https://s3.amazonaws.com/content.udacity-data.com/courses/ud501/code/ml4t.zip ml4t.zip]<br/>Note: If you downloaded this prior to Aug 21, 2015, please download again. Some missing files have been included and minor issues fixed. | * Download: [https://s3.amazonaws.com/content.udacity-data.com/courses/ud501/code/ml4t.zip ml4t.zip]<br/>Note: If you downloaded this prior to Aug 21, 2015, please download again. Some missing files have been included and minor issues fixed. | ||
* Unzip it. That should create a <tt>ml4t/</tt> directory with the following contents: | * Unzip it. That should create a <tt>ml4t/</tt> directory with the following contents: | ||
Revision as of 12:15, 11 January 2016
Contents
Overview
There are two main environments available to you to develop and test your code for this class:
- An Ubuntu Linux image we have created that you can run in a VM on your machine
- One of several high performance machines at Georgia Tech
Both of these have been set up with the same, correct software libraries. Your code MUST run properly in one of these environments, otherwise it may not run correctly in our auto grader. If your code fails to run in the auto grader environment, you might not get credit for the assignment. So it is very important that you ensure that you have access to one of these environments.
You may, for convenience, choose to also manually install the software on your personal machine. Keep in mind, however, that this is not officially supported and it is at your own risk: ML4T_Software_Manual_Installation
Important note: We use a specific, static dataset for this course, which we will provide. If you download your own data from Yahoo (or elsewhere), you will get wrong answers on assignments.
Access to machines at Georgia Tech
We will configure machines at Georgia Tech so that you can connect to them remotely using your GT login credentials. To connect to one of these machines, open a terminal window (or DOS window) and type:
xhost + ssh -X gtname@buffet0X.cc.gatech.edu
You will then be asked for your password and be logged in. In order to distribute workload across the machines, please use the specific machines as follows:
- buffet01.cc.gatech.edu if your last name begins with A-F
- buffet02.cc.gatech.edu if your last name begins with G-L
- buffet03.cc.gatech.edu if your last name begins with M-R
- buffet04.cc.gatech.edu if your last name begins with S-Z
Install, set up and test a virtual machine
If you don't want to connect remotely to GT machines, you can download and install a bootable image that can run in a virtual machine.
Optional software
Data
- Download: ml4t.zip
Note: If you downloaded this prior to Aug 21, 2015, please download again. Some missing files have been included and minor issues fixed. - Unzip it. That should create a ml4t/ directory with the following contents:
ml4t ├── data │ ├── $DJI.csv │ ├── $SPX.csv │ ├── $VIX.csv │ ├── A.csv │ ├── AA.csv │ ├── AAPL.csv │ ├── ... │ ├── YHOO.csv │ ├── YUM.csv │ ├── ZION.csv │ └── ZMH.csv └── validate_env.py
Whenever you need to work on assignments for this class, run your program from within ml4t/ so that you can access data/*.csv using a relative path.
Test installation
Test your environment by running the script validate_env.py from the ml4t/ directory:
python validate_env.py
If it complains, or if any of the installed library versions are older than the desired versions, fix the problems, and then repeat.
A clean output from validate_env.py is required for MC1-Homework-2.
