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reproducible    
a. 可再生的,可复写的,能繁殖的

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  • How to make a great R reproducible example - Stack Overflow
    (Here's my advice from How to write a reproducible example I've tried to make it short but sweet Section 9 2 of "Workflow: Getting help" in r4ds is a more recent take that also discusses the reprex package ) How to write a reproducible example You are most likely to get good help with your R problem if you provide a reproducible example
  • 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
  • How to Get Reproducible Results (Keras, Tensorflow):
    TF_Support, thank you for detailed and structured answer 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
  • 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
  • Reproducible random number generation in multiple SAS data steps
    However, if I then use a second data step, I can't figure out any way to continue the sequence of random numbers If I don't use CALL STREAMINIT at all in the second data step, then the random numbers in the second data step are not reproducible If I use CALL STREAMINIT with the same seed, I get the same random numbers as in the first data step
  • Why should I provide a Minimal Reproducible Example for a very simple . . .
    Those that take the trouble to provide minimal, reproducible examples are far more likely to be answered quickly, and accurately It's easy to provide a sample data set It doesn't have to be real data It just has to fairly reflect the nature of the problem at hand
  • 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-
  • python - Why cant I get reproducible results in Keras even though I . . .
    I'm training a MobileNet architecture on dummy data with Keras, on Mac OSX I set both nump random and tensorflow set_random_seed, but for some reasons I can't get reproducible results: each time I
  • 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





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