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cs401r_w2016:lab4 [2016/01/28 18:22] admin |
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| {{:cs401r_w2016:lab4_noisy.png?nolink|}} | {{:cs401r_w2016:lab4_noisy.png?nolink|}} | ||
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| + | ---- | ||
| + | ====Grading standards:==== | ||
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| + | |||
| + | Your notebook will be graded on the following: | ||
| + | |||
| + | * 20% Correct implementation of three kernels | ||
| + | * 30% Correct implementation of noiseless GPR | ||
| + | * 30% Correct implementation of noisy GPR | ||
| + | * 20% Six tidy and legible plots, with appropriate ranges | ||
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| For the Gaussian / RBF kernel, set all parameters to 1.0 | For the Gaussian / RBF kernel, set all parameters to 1.0 | ||
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| + | The mean function for this lab should always return 0. | ||
| You should also answer the following questions: | You should also answer the following questions: | ||
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| <code python> | <code python> | ||
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| + | numpy.arange() | ||
| plt.gca().fill_between | plt.gca().fill_between | ||
| plt.scatter | plt.scatter | ||
| - | numpy.linalg.inv | + | numpy.linalg.pinv |
| numpy.eye | numpy.eye | ||