5b1aca08c2
MAINT Don't use deprecated 1d X (or deprecated matplotlib stuff) in examples.
2015-12-10 12:11:48 -05:00
f67e911124
DOC Modify documentation/examples for the new model_selection module
2015-10-29 16:49:23 +01:00
965a71517f
Merge pull request #5214 from glennq/mlp_refactoring
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[MRG + 2] Mlp with adam, nesterov's momentum, early stopping
2015-10-23 19:22:21 +02:00
824115a4e5
Added colorblind compatibility to classification
2015-10-22 18:32:23 +02:00
3891af8d99
iterate, improve. Nesterov's momentum.
2015-10-21 14:43:38 -04:00
18f4a29114
ENH: fixes issue #5484
2015-10-20 15:48:38 +02:00
5b47b044fa
DOC Adding GPC to plot_classification_probability.py example
2015-10-19 18:07:12 +02:00
1790b944b6
DOC Adding GPC to plot_classifier_comparison.py script and enabling warm_start
2015-10-19 18:07:10 +02:00
679936f6bc
MAINT Deprecate LDA/QDA in favor of expanded names
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The LDA accronym for Linear Discriminant Analysis is ambiguous
because of the newly introduced Latent Dirichlet Allocation model.
We therefore deprecate the sklearn.lda.LDA and sklearn.lda.QDA
in favor of explicit names.
2015-09-11 15:32:11 +02:00
aede3d64f1
Rename parameter value 'ledoit_wolf' to 'auto'.
2014-12-16 11:50:01 +01:00
1e469b28d1
Introduced step size to speed up the example.
2014-12-16 11:35:59 +01:00
5ca36c8435
Updated example because store_covariance is now set in __init__() and not in fit().
2014-12-16 11:35:59 +01:00
a5ae150846
rename alpha to shrinkage + docstring cosmits
2014-12-16 11:35:58 +01:00
5deb80f7b1
Fixed docstrings.
2014-12-16 11:35:58 +01:00
125fa22165
Updated LDA example and removed decision plane comparison
2014-12-16 11:35:56 +01:00
b9601ccf94
Addressed @mblondel's comments
2014-12-16 11:35:56 +01:00
c297502c7d
Removed magic number
2014-12-16 11:35:56 +01:00
d239fc4e4f
Simplified LDA vs. shrinkage LDA example
2014-12-16 11:35:56 +01:00
7d812994b7
Added simple LDA example
2014-12-16 11:35:55 +01:00
8e0dc6b7b0
Refactored LDA module (first working version).
2014-12-16 11:35:54 +01:00
89226b69b4
COSMIT: Made the following changes
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1. Removed true from 'true multinomial loss'
2. Replaced OvA with OvR
3. Update whatsnew.rst
2014-08-21 17:37:38 +02:00
e6f7ab36c6
ENH Added multinomial logreg to plot_classification_probability.py
2014-08-21 17:37:37 +02:00
5b247f90e4
move around examples for better structure.
2014-07-17 09:35:30 +02:00
Andreas Mueller