Research Code Sample Clauses

Research Code. ‌ In this thesis there is a particular focus on implementation and handling of code produced in research. As described before, we will show details about implemen- tation and reusability in machine learning research. This section will describe an overview for common reoccurring problems and solutions we encountered during the course of this thesis. This is by no means exhaustive and is only meant to give insights and material for thought when implementing a piece of software during the development of new machine learning models. Mainly, we present examples of solutions, which can help in producing reproducible and easy-to-use research code. “There is a culture that reinforces the idea that producing and publishing code has no perceived benefit to the researcher” [14]. We believe quite the opposite: the code published with a transcript (in computational research) is at least as important as, if not more important than the results presented. If results are not reproducible by provided code, it is unlikely that others will use the provided model. Writing reusable research code is a difficult task. It requires rigorous discipline and planning of progression of the code. When prototyping ideas, a structure in code “pops out”, which can (and most likely will) introduce unforeseen problems. Additionally, many researchers do not have an understanding of the difficulties other researches encounter when trying to replicate results. We often think “if I can do it, so can others”. This is not always true, especially in terms of time spent to apply and understand parameterizations and intuitions of methods. Time becomes an increasing issue in this result oriented society, where others might not have the time to set up, especially when crossing expertise.
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