Instructions for Handing in Machine Learning Homeworks

Please turn in a hard copy of your project report at the beginning of class on the due date. Electronically submit a directory to the TA that has your working code, run traces, and a concise README file describing these before class using the turnin program as follows:

turnin --submit vkv cs391L-hw# <directory_name>

where # should be replaced with the homework number. Please check your submission by executing turnin with the --list option:

turnin --list vkv cs391L-hw#

Note: Turnin is located in /lusr/bin; if that directory is not in your path, then call it as /lusr/bin/turnin.

Please observe the following when handing in homeworks:

Structure, indent, and format your code well.
Use adequate comments, both block and in-line to document your code.
Type and nicely format the project report, including discussion points, tables, graphs etc. so that it is presentable and easy to read.
Working code and/or correct answers is only one part of the assignment. The project report, including discussion of the specific issues which the assignment asks about, is also a very important part of the assignment. Take the time and space to make an adequate and clear project report. On the non-programming learning-theory assignment, clear and complete explanations and proofs of your results are as important as getting the right answer.
Specify full package names for classes you modified in your hard copy report. For example, if you modified the "ConjunctiveVersionSpace.java" file, specify "weka.classifiers.vspace.ConjunctiveVersionSpace" in your report.