9b7176dd9d
[DOC] Fix broken links
2016-03-23 12:45:34 -07:00
46fc1be145
Remove redundant words in sklearn
2016-02-23 16:54:03 +08:00
ebe3ff5404
fix math in soft VotingClassifier example
2016-02-09 09:57:43 -06:00
29e7e39844
update ambiguous out of bag generalization terminology - from 'error' to 'accuracy' or 'the R^2...'.
2015-11-23 16:48:09 -08:00
f67e911124
DOC Modify documentation/examples for the new model_selection module
2015-10-29 16:49:23 +01:00
fea218e5cf
In tree, min_samples_split and min_samples_leaf now accept float number as percentage.
2015-10-24 23:18:52 +02:00
89ec72ea2f
Example to demonstrate use of tree.apply() method
...
This example trains several tree based ensemble methods and uses
them to transform the data into a high dimensional, sparse space.
The trains a linear model on this new feature space. The idea is
taken from:
Practical Lessons from Predicting Clicks on Ads at Facebook Junfeng Pan,
He Xinran, Ou Jin, Tianbing XU, Bo Liu, Tao Xu, Yanxin Shi, Antoine
Atallah, Ralf Herbrich, Stuart Bowers, Joaquin Quiñonero Candela
International Workshop on Data Mining for Online Advertising (ADKDD)
https://www.facebook.com/publications/329190253909587/
2015-08-11 20:38:07 +02:00
0650d5502e
DOC adding backlinks to docstrings
2015-06-03 00:24:04 -04:00
8b386d84c8
DOC some fixes for the EnsembleClassifier
2015-05-18 16:05:22 -04:00
ef94a2a671
Merge pull request #4665 from kianho/plot-ensemble-oob-trace
...
[MRG+1] Script for example ensemble OOB error plot. Fixes #4273
2015-05-08 11:36:44 +02:00
6ac6ea3842
COSMIT: VotingClassifier
2015-05-08 10:10:47 +02:00
b6ce3226f7
Amended plot_ensemble_oob.py according to #4665 .
...
@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.
2015-05-05 17:36:22 +10:00
2910198f14
votingclassifier
2015-04-20 19:27:30 -04:00
8d669069cb
ensemble classifier 1st commit
2015-04-20 18:28:16 -04:00
88811be235
Mention oob_score in the narrative docs for Bagging*
2015-04-02 11:59:39 +02:00
fd3c63065f
Mention oob_score in narrative documentation of RandomForest*
2015-04-02 11:51:30 +02:00
0c330827c5
DOC minor improvement in Ensemble user guide
2015-02-12 08:32:52 -05:00
c03c01a504
ENH Bring sparse input support to tree-based methods
...
Author: Arnaud Joly <arnaud.v.joly@gmail.com>
Fares Hedayati <fares.hedayati@gmail.com>
2014-11-06 13:58:28 +01:00
de11662b6a
we can produce probabilistic outputs using exponential loss
2014-09-22 00:31:12 +02:00
ddc5123385
add exponential loss to narrative documentation
2014-09-17 12:14:26 +02:00
2eb1e98eef
MAINT ensure that examples figures are displayed in the correct order
2014-07-14 15:47:17 +02:00
b53b573c31
Replaced abbreviated 'w.r.t' to 'with regards to'
2014-02-05 12:59:07 -02:00
d83d65201e
Fixed FS1995 citation.
2014-02-04 01:09:49 -08:00
05d88c70bd
GBRT subsection for warm_start
2014-01-08 14:49:57 +01:00
2dde9a59c7
fix: warm_start demo in narrative documentation
2014-01-05 12:12:44 +01:00
181c515993
moved fit_more to warm_start=True
2014-01-04 16:25:16 +01:00
f512bd82c9
renamed partial_fit -> fit_more for GBRT
2014-01-04 14:07:42 +01:00
e7a2c2e000
narrative documentation on controlling tree size - might be relevant for weighted boosting and CART as well.
2013-11-22 19:56:12 +01:00
098f630d70
GBRT enhancements:
...
Moved verbose output code to VerboseReporter class.
Cosmit: logical structured code blocks
Refactored: moved init state to method
Added partial_fit to GradientBoosting
Fix: is_classification not available; n_features not n_features_
Tests
Add ``partial_fit`` to docs
2013-11-01 21:23:02 +02:00
be71b38292
FIX: broken doctest impacted by stratified CV and tree RNG changes combined...
2013-09-25 16:07:54 +02:00
74d395215b
ENH bagging meta-estimator
2013-09-11 13:51:09 +02:00
26eb3c606f
DOC/EXAMPLES fix more documentation errors, deprecated api usages.
2013-07-28 15:01:48 +02:00
8dd37abd33
DOC fixing some sphinx stuff.
2013-07-27 18:16:46 +02:00
4872496c27
doc: hedge the use of OOB estimates
2013-07-25 12:44:50 +02:00
b5c055b2d6
more narrative documentation for oob in gbrt
2013-07-24 11:17:33 +02:00
08d795adff
rephrased max_features doc
2013-07-24 11:17:33 +02:00
898dbc732c
cosmit: better links and a note on efficiency using max_features
2013-07-24 11:17:32 +02:00
04e8d2befd
narrative documentation for oob improvement.
2013-07-24 11:17:32 +02:00
a42701e62f
FIX: one more doctest
2013-07-22 12:20:02 +02:00
79953a04d6
WIP: updated documentation
2013-07-22 12:19:59 +02:00
8861833ec9
DOC spellfixes
2013-06-29 16:18:23 +03:00
6224c4ffad
DOC describe API, not internals, for AdaBoost
2013-04-26 10:40:52 +02:00
67ece78da4
COSMIT various typofixes
...
As suggested by codespell <https://github.com/lucasdemarchi/codespell >
Signed-off-by: Stefano Lattarini <stefano.lattarini@gmail.com>
2013-04-11 21:22:14 +02:00
4fb6c88478
DOC: narrative documentation on feature importances
2013-02-08 08:41:20 +01:00
be2394a219
DOC: notes about examples and minor edits
2013-02-03 21:36:36 +01:00
41f3f39313
minor edits in docs
2013-02-03 19:58:30 +01:00
8ecc50458e
FIX: some of Gael comments
2013-02-03 18:45:33 +01:00
79f606f534
FIX: doctest
2013-02-03 13:45:10 +01:00
5e49c133e7
fix failing doctest
2013-02-03 04:10:12 +01:00
2eeb724628
DOC: narrative documentation
2013-02-01 10:00:56 +01:00
Rémy Léone