* After 125, more estimators does not help the model and it improves runtime by almost 50%
* accelerate plot_ensemble_oob.py changed max_estimator to 150 with step=5
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Fixes#11128.
#### What does this implement/fix? Explain your changes.
Issues deprecation warning message for the default n_estimators parameter for the forest classifiers. Test added for the warning message when the default parameter is used.
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* Fix Rouseeuw1984 broken link
* Change label vbgmm to bgmm
Previously modified with PR #6651
* Change tag name
Old refers to new tag added with PR #7388
* Remove prefix underscore to match tag
* Realign to fit 80 chars
* Link to metrics.rst.
pairwise metrics yet to be documented
* Remove tag as LSHForest is deprecated
* Remove all references to randomized_l1 and sphx_glr_auto_examples_linear_model_plot_sparse_recovery.py.
It is deprecated.
* Fix few Sphinx warnings
* Realign to 80 chars
* Changes based on PR review
* Remove unused ref in calibration
* Fix link ref in covariance.rst
* Fix linking issues
* Differentiate Rouseeuw1999 tag within file.
* Change all duplicate Rouseeuw1999 tags
* Remove numbers from tag Rousseeuw
A number of further amendments to the plot_ensemble_oob.py example
script were suggested in the PR thread and addressed accordingly:
- The ExtraTreesClassifier models were removed from the example, since
they don't use bootstrapping by default (but can be using bootstrap=True).
- Included the OOB errors for RandomForestClassifier models with various
max_features values.
- Changed the sample datasets to make for a nicer looking plot.
- Changed "cross-validated" to "validated" in the docstring.
- Added the relevant page numbers to the Hastie et al. reference.
- PEP8 compliance, fixed line > 80 chars.
@amueller provided feedback on improving my original PR (#4665) of the
plot_ensemble_oob.py script.
A number of major changes were made accordingly:
- Used `matplotlib.pyplot` instead of `pylab`.
- To improve the run-time to <10secs, I reduced the dimensionality of
the sample dataset and set the max. number of estimators to 150.
- To avoid OOB warnings, the min. number of estimators was set to 15.
Values <15 would still raise the warnings.
- The script is PEP8-compliant via the `pep8` command-line script. I
needed to move `print(__doc__)` and author list comments.
- Re-added @amueller to the author list (had mistakenly been removed).
- Added a link to this example to the user-guide under the `Ensemble
Methods` section.
siavrez
Hanmin Qin