cleanup python modular graphical examples

[sanuj]

Most of the examples were working except the following:
so_multiclass_director_BMRM.py:

ImportError: cannot import name DirectorStructuredModel

so_multiclass_BMRM.py:

Traceback (most recent call last):
  File "so_multiclass_BMRM.py", line 78, in <module>
    plt.plot(xrange(res.get_n_iters()), Fps, hold=True)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/pyplot.py", line 3154, in plot
    ret = ax.plot(*args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/__init__.py", line 1812, in inner
    return func(ax, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/axes/_axes.py", line 1424, in plot
    for line in self._get_lines(*args, **kwargs):
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/axes/_base.py", line 386, in _grab_next_args
    for seg in self._plot_args(remaining, kwargs):
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/axes/_base.py", line 364, in _plot_args
    x, y = self._xy_from_xy(x, y)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/axes/_base.py", line 223, in _xy_from_xy
    raise ValueError("x and y must have same first dimension")
ValueError: x and y must have same first dimension

regression_gaussian_process_demo.py and regression_gaussian_process_modelselection.py:

Traceback (most recent call last):
  File "regression_gaussian_process_demo.py", line 14, in <module>
    from modshogun import GradientModelSelection
ImportError: cannot import name GradientModelSelection

eigenfaces.py:

Reading images ...
Traceback (most recent call last):
  File "eigenfaces.py", line 184, in <module>
    images = readImages(list_filenames);
  File "eigenfaces.py", line 132, in readImages
    images = np.empty( (IMAGE_HEIGHT*IMAGE_WIDHT, (len(list_filenames))-1))
ValueError: negative dimensions are not allowed

interactive_gp_demo.py:

Traceback (most recent call last):
  File "interactive_gp_demo.py", line 218, in plot_gp
    inf.get_negative_marginal_likelihood()
AttributeError: 'ExactInferenceMethod' object has no attribute 'get_negative_marginal_likelihood'

metric_lmnn_objective.py:

IOError: [Errno 2] No such file or directory: '../../data/fm_train_multiclass_digits.dat.gz'

[sanuj]

I'm cloning shogun-data right now. Will run metric_lmnn_objective.py and eigenfaces.py again after that.

[sanuj]

gives import error so removing this.

[sanuj]

I found these bugs while I was playing with KernelRidgeRegression python example and then decided to clean all the graphical examples. I must add, the interactive examples (interactive_svm_demo.py etc) are fun to play with :)

[sanuj]

eigenfaces.py and metric_lmnn_objective.py work with shogun-data.
@karlnapf Please review.

[karlnapf]

Nice thanks for that.

[karlnapf]

BTW we should include these graphical examples in the build, will open an issue