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habrok:additional_information:course_material:exercises_solutions [2024/10/10 09:22] – [Exercise 7 - Using Python within a job] fokkehabrok:additional_information:course_material:exercises_solutions [2026/06/18 13:02] (current) – [Exercise 4 - Command-line: set up a directory for training a Neural Network] fokke
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 </hidden> </hidden>
  
-=== e. Move the archive file to ''rice_classifier'' directory ===+=== e. Move the archive file to your /scratch folder ===
 Move the archive file ''dataset.tar.gz'', which is the input data needed by Move the archive file ''dataset.tar.gz'', which is the input data needed by
 the training script, from ''/scratch/$USER/inputfiles/'' to the training script, from ''/scratch/$USER/inputfiles/'' to
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 ==== Exercise 6 - Using R within a job ==== ==== Exercise 6 - Using R within a job ====
  
-In this exercise we will generate an animated image file showing an iterative generation of the Mandelbrot fractal using some code in R. You can find more details on the Mandelbrot set at https://en.wikipedia.org/wiki/Mandelbrot_set +In this exercise we will generate an animated image file showing an iterative generation of the Mandelbrot fractal using some code in R. You can find more details on the Mandelbrot set [[wp>Mandelbrot_set|here]].
  
 The main purpose of the exercise is to learn how to submit R code using a job script to the cluster. Having a nice image as a result is a bonus. The main purpose of the exercise is to learn how to submit R code using a job script to the cluster. Having a nice image as a result is a bonus.
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 When you open the file on your local computer you will see an animated version of the Mandelbrot fractal set. When you open the file on your local computer you will see an animated version of the Mandelbrot fractal set.
-Details on this calculation can be found at: https://en.wikipedia.org/wiki/Mandelbrot_set+Details on this calculation can be found [[wp>Mandelbrot_set|here]].
 </hidden> </hidden>