DOC: Removing duplicate examples and cross-referencing

[glemaitre]

I removed the examples for each samplers since that we have an example presenting comparison of those which is much better. It would be better to have applications examples which are more constructive.

Cross-referencing is already done using sphinx-gallery. Therefore, I think that we can remove the cross-references.

[pep8speaks]

Hello @glemaitre! Thanks for updating the PR.

• There are no PEP8 issues in the file imblearn/combine/_smote_enn.py !

• There are no PEP8 issues in the file imblearn/combine/_smote_tomek.py !

• There are no PEP8 issues in the file imblearn/ensemble/_balance_cascade.py !

• In the file imblearn/ensemble/_easy_ensemble.py, following are the PEP8 issues :

Line 94:80: E501 line too long (80 > 79 characters)

• There are no PEP8 issues in the file imblearn/ensemble/_forest.py !

• There are no PEP8 issues in the file imblearn/keras/_generator.py !

• There are no PEP8 issues in the file imblearn/over_sampling/_adasyn.py !

• There are no PEP8 issues in the file imblearn/over_sampling/_random_over_sampler.py !

• There are no PEP8 issues in the file imblearn/under_sampling/_prototype_generation/_cluster_centroids.py !

• There are no PEP8 issues in the file imblearn/under_sampling/_prototype_selection/_condensed_nearest_neighbour.py !

• There are no PEP8 issues in the file imblearn/under_sampling/_prototype_selection/_edited_nearest_neighbours.py !

• There are no PEP8 issues in the file imblearn/under_sampling/_prototype_selection/_instance_hardness_threshold.py !

• There are no PEP8 issues in the file imblearn/under_sampling/_prototype_selection/_nearmiss.py !

• There are no PEP8 issues in the file imblearn/under_sampling/_prototype_selection/_neighbourhood_cleaning_rule.py !

• There are no PEP8 issues in the file imblearn/under_sampling/_prototype_selection/_one_sided_selection.py !

• There are no PEP8 issues in the file imblearn/under_sampling/_prototype_selection/_random_under_sampler.py !

• There are no PEP8 issues in the file imblearn/under_sampling/_prototype_selection/_tomek_links.py !

Comment last updated on September 11, 2018 at 21:49 Hours UTC

[glemaitre]

@chkoar Would you agree with this PR?

[codecov]

Codecov Report

Merging #471 into master will not change coverage.
The diff coverage is n/a.

@@           Coverage Diff           @@
##           master     #471   +/-   ##
=======================================
  Coverage   98.65%   98.65%           
=======================================
  Files          79       79           
  Lines        4769     4769           
=======================================
  Hits         4705     4705           
  Misses         64       64

Impacted Files	Coverage Δ
...rototype_selection/_instance_hardness_threshold.py	100% <ø> (ø)	⬆️
imblearn/ensemble/_balance_cascade.py	100% <ø> (ø)	⬆️
...ling/_prototype_selection/_random_under_sampler.py	100% <ø> (ø)	⬆️
imblearn/combine/_smote_tomek.py	100% <ø> (ø)	⬆️
...rototype_selection/_neighbourhood_cleaning_rule.py	100% <ø> (ø)	⬆️
...nder_sampling/_prototype_selection/_tomek_links.py	100% <ø> (ø)	⬆️
imblearn/ensemble/_easy_ensemble.py	100% <ø> (ø)	⬆️
...rototype_selection/_condensed_nearest_neighbour.py	100% <ø> (ø)	⬆️
...n/under_sampling/_prototype_selection/_nearmiss.py	98.68% <ø> (ø)	⬆️
imblearn/over_sampling/_adasyn.py	98.57% <ø> (ø)	⬆️
... and 5 more

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