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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.
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
@ -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
program prints the statistics of the number of false positives, false
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.