[docs] remove unused bits

Should fix the nightlies

doc/plot/iris_lda.py

-#!/usr/bin/env python
-# Andre Anjos <andre.anjos@idiap.ch>
-# Sat 24 Mar 2012 18:51:21 CET 
-
-"""The Iris Flower Recognition using Linear Discriminant Analysis and Bob.
-"""
-
-import bob.db.iris
-import bob.learn.linear
-import bob.measure
-import numpy
-from matplotlib import pyplot
-
-# Training is a 3-step thing
-data = bob.db.iris.data()
-trainer = bob.learn.linear.FisherLDATrainer()
-machine, eigen_values = trainer.train(data.values())
-
-# A simple way to forward the data
-output = {}
-for key in data.keys(): output[key] = machine(data[key])
-
-# Here starts the plotting
-pyplot.hist(output['setosa'][:,0], bins=8, 
-    color='green', label='Setosa', alpha=0.5) 
-pyplot.hist(output['versicolor'][:,0], bins=8,
-    color='blue', label='Versicolor', alpha=0.5)
-pyplot.hist(output['virginica'][:,0], bins=8, 
-    color='red', label='Virginica', alpha=0.5)
-
-# This is just some decoration...
-pyplot.legend()
-pyplot.grid(True)
-pyplot.axis([-3,+3,0,20])
-pyplot.title("Iris Plants / 1st. LDA component")
-pyplot.xlabel("LDA[0]")
-pyplot.ylabel("Count")