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readme: mention new plots in ex-5, ex-7

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Michele Guerini Rocco 2020-06-03 20:27:59 +00:00
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@ -160,7 +160,14 @@ with different number of samples. The program takes no arguments and prints
a table of the result and its error for each method. a table of the result and its error for each method.
To visualise the results, you can plot the table by doing: To visualise the results, you can plot the table by doing:
$ ex-5/main | ex-5/plot.py $ ex-5/bin/main | ex-5/plot.py
(optional) `ex-6/plots/fit.py` makes the plot (shown in exercises.pdf, fig. 13)
of the standard deviation vs function calls for the plain MC method. The
program takes the tabular results of `ex-5/bin/main` as input, so run it as:
$ ex-5/bin/main | ex-5/plot.py
### Exercise 6 ### Exercise 6
@ -227,3 +234,6 @@ To plot the result of the linear classification pipe the output to
newly generated datasets (`-i` to set the number of test iterations). The newly generated datasets (`-i` to set the number of test iterations). The
program prints the statistics of the number of false positives, false program prints the statistics of the number of false positives, false
negatives and finally the purity and efficiency of the classification. negatives and finally the purity and efficiency of the classification.
(optional) `ex-7/plots/fisher.py` makes the example plot (shown in
exercises.pdf, fig. 27) of the naïve projection vs Fisher projection.