How to make a great R reproducible example - Stack Overflow
2011年5月11日 · You are most likely to get good help with your R problem if you provide a reproducible example. A reproducible example allows someone else to recreate your problem by just copying and pasting R code. You need to include four things to make your example reproducible: required packages, data, code, and a description of your R environment.
How to create a Minimal, Reproducible Example - Help Center
Reproducible: Test the code you're about to provide to make sure it reproduces the problem The rest of this help article provides guidance on these aspects of writing a minimal, reproducible example. For more information on how to debug your program so that you can create a minimal example, Eric Lippert has written a fantastic blog post on the ...
How to make good reproducible pandas examples - Stack Overflow
Having spent a decent amount of time watching both the r and pandas tags on SO, the impression that I get is that pandas questions are less likely to contain reproducible data. This is something that the R community has been pretty good about encouraging, and thanks to guides like this , newcomers are able to get some help on putting together ...
Any good strategies for dealing with 'not reproducible' bugs?
It is important to categorize such bugs (rarely reproducible) and act on them differently than bugs that are frequently reproducible based on specific user actions. Clear issue description along with steps to reproduce and observed behavior : Unambiguous reporting helps in understanding of the issue by entire team eliminating incorrect conclusions.
How to Get Reproducible Results (Keras, Tensorflow):
2020年4月7日 · If to divide the 'reproducible code as a reference' you gave in the Jupiter notebook on 2 cells: 1) all the rows but 3 last 2) 3 last (to begin from 'histpry = model.fit (x_train ...) and run 2 cells consequently, it always shows the identical result. But if to run the 1st cell once and then the 2nd cell several times, it always gives different ...
How to get absolutely reproducible results with Scikit Learn?
Regarding the seeding system when running machine learning algorithms with Scikit-Learn, there are three different things usually mentioned: random.seed np.random.seed random_state at SkLearn (cross-
What are the [[reproducible]] and [[unsequenced]] attributes in …
2023年8月6日 · Because the function is [[reproducible]], square(2) yields the same result when called twice in a row, and the compiler can decide to call square(2) only once Because the function is [[unsequenced]] , calls to square can be made in any order, and the compiler could even decide to evaluate square(2) just once at program startup.
How to get reproducible results in keras - Stack Overflow
2015年9月6日 · In short, to be absolutely sure that you will get reproducible results with your python script on one computer's/laptop's CPU then you will have to do the following: Following the Keras link at the top, the source code I am using is the following: # 1. Set the `PYTHONHASHSEED` environment variable at a fixed value.
Tips on creating a minimal reproducible example for a coding …
2024年6月19日 · With this information you can reduce the code to just run with this particular input and post it as a minimal reproducible example. Some things to be aware of specifically in the context of such online code challenge platforms: Be careful with global/static variables. This includes any other state that outlives a single execution of your ...
Reproducible NumPy's random results: Reseeding vs Recreating
2020年7月2日 · 5. According to NumPy's numpy.random.seed() documentation: This is a convenience, legacy function. The best practice is to not reseed a BitGenerator, rather to recreate a new one. This method is here for legacy reasons. This example demonstrates best practice. However, I noticed that the results from recreating a bit generator are not reproducible.