141eb0b27c
REFACTOR Rename GPR method sample to sample_y
2015-10-19 18:04:56 +02:00
27bd525c96
DOC Reorganizing gaussian_process examples
2015-10-19 18:04:56 +02:00
a3abc09456
ENH Added Exponentiation kernel (DotProduct no longer has internal degree)
2015-10-19 18:04:56 +02:00
403b5f1412
REFACTOR REnamed kernel property params to theta
2015-10-19 18:04:55 +02:00
9f6e48f6cc
REFACTOR GP kernels use separate specification of bounds and params (no joint param_space)
2015-10-19 18:04:55 +02:00
d0bc5dc35c
FIX GPs do not modify kernel attribute but store optimized kernels in kernel_
2015-10-19 18:04:55 +02:00
49badf9f56
DOC Illustrating different kernels in plot_gpr_prior_posterior.py
2015-10-19 18:04:55 +02:00
98f9774cd1
DOC Revising CO2 example
2015-10-19 18:04:55 +02:00
d8405c2403
REFACTOR Hyperparameter optimization in GPs enabled explicitly by optimizer parameter
2015-10-19 18:04:55 +02:00
f534a972df
DOC Initial version of Mauna Loa CO2 example
2015-10-19 18:04:55 +02:00
e165fed1cc
REFACTOR GaussianProcessClassification/Regression -> ...Classifier/Regressor
2015-10-19 18:04:55 +02:00
226bb3a839
DOC Revised examples based on @eickenberg's comments
2015-10-19 18:04:54 +02:00
7b4d93535b
DOC Revised GP examples (added doc etc.)
2015-10-19 18:04:54 +02:00
1c5db5f1df
ADD Examples for GP regression
2015-10-19 18:04:54 +02:00
e548d5652a
ADD Examples for GP classification
2015-10-19 18:04:54 +02:00
0d26d54df5
Merge pull request #5423 from MechCoder/example_fix
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[MRG + 1] Fix broken examples using RandomTreeEmbeddings
2015-10-17 09:24:04 +02:00
5f3cbb531f
Merge pull request #5421 from shagunsodhani/proposed-fix-for-#5387
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[MRG + 1] proposed fix for #5387
2015-10-16 15:18:19 -04:00
c31de116f9
Fix broken examples using RandomTreeEmbeddings
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RandomTreeEmbeddings overwrites the fit_transform method of
_LearntSelectorMixin
2015-10-16 12:44:04 -04:00
c0c2c73797
Merge pull request #5411 from lesteve/fix-plot-tomography-l1-reconstruction-example
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[MRG] Fix plot_tomography_l1_reconstruction example
2015-10-16 16:57:37 +02:00
bd66a270b9
proposed fix for #5387
2015-10-16 20:13:46 +05:30
32ab5b5d24
DOC fix missing import in plot_lle_digits example
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and remove unused lda import.
2015-10-15 21:16:20 +02:00
02b9a726e1
DOC Fix plot_tomography_l1_reconstruction example
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numpy 1.10 raises an exception when doing inplace operation
with an int and float array.
2015-10-15 16:37:24 +02:00
3c22232c4b
Now plots based on the number of features in X
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In previous commit, I used n_features to set the number of features, and plotted based on that variable. Based on feedback, I removed n_features, and now plotting is based on X.shape[1]. This makes the code general and easy to port. I copied this into an iPython notebook to verify it still outputs the correct graph.
2015-10-11 23:09:39 -07:00
0fec61a709
Changed the number of features from 10 to variable
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I ported this code into my own, and when I tried plotting, I found the number of features was hard coded to 10. By switching to a set variable, the number of features is no longer a magic number, and the code is more readable.
2015-10-11 16:58:41 -07:00
5a0db1717a
1. Added parameter prefit to pass in a fitted estimator.
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2. Use assert_warns instead of catch_warnings
3. Remove depracation warnings in common tests.
2015-10-09 01:57:36 -04:00
2ee718cc75
Add narrative docs and fix examples
2015-10-05 11:25:06 -04:00
10176d9897
Now a fitted estimator can be passed to SelectFromModel
2015-10-05 11:25:06 -04:00
9cee0d95f8
Added example to depict feature selction using SelectFromModel and Lasso
2015-10-05 11:24:02 -04:00
47a85f3f34
MAINT: better timing and general fixes in NMF/LDA example
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Knowing how long the whole script has run is not very useful for
benchmarking.
2015-09-30 21:45:32 +02:00
ceeef70037
ENH refactor NMF and add CD solver
2015-09-21 11:42:07 +02:00
b9284a759f
Merge pull request #5288 from jnothman/bicluster-example-speed
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[MRG] Bicluster example speed
2015-09-20 22:31:46 +10:00
a24b932095
DOC comment on obscure syntax
2015-09-20 22:30:26 +10:00
8f0d4fc116
ENH avoid slow CSR fancy indexing variant
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See https://github.com/scipy/scipy/issues/5265
2015-09-18 12:13:46 +10:00
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
94eb61960a
ENH add sag solver in LogisticRegression and Ridge
2015-09-10 13:28:02 -04:00
4ceffe05a1
Adding Implementation of SAG
2015-09-10 13:27:04 -04:00
bc225a5e1a
ENH apply method added to Gradient Boosting
2015-09-10 10:32:51 +02:00
6126eced61
unused import
2015-08-31 21:52:48 +02:00
96c329f463
Merge pull request #5037 from betatim/tree-feature-transform
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[MRG+1] Trees as feature transformers
2015-08-31 11:43:49 -04:00
3e23cf0496
Merge pull request #4104 from maheshakya/johnson-lindenstrauss_bound_example_fix
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DOC Modified math expressions to theoretical bounds.
2015-08-30 14:06:39 +01:00
c7795695d0
Merge branch 'master' into pr_3651
2015-08-30 10:48:16 +01:00
bcb6d3bcf8
DOC: minor cosmetric to ROC example
2015-08-30 10:47:07 +01:00
2ba124b7be
DOC use correct attribute in example
2015-08-28 11:39:12 +10:00
25a217b016
small typo fix "radius" in rbf kernel
2015-08-16 18:34:54 -04:00
ea8d092f2c
Explicitly mention RandomTreesEmbedding in the text
2015-08-14 20:04:46 +02:00
edf077ccd6
Merge pull request #5050 from AnishShah/issue5043
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DOC Fix documentation of callable kernel
2015-08-14 18:43:24 +02:00
a7081d797f
[issue #5043 ] fix documentation of callable kernel
2015-08-14 15:40:03 +05:30
89ec72ea2f
Example to demonstrate use of tree.apply() method
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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
664d78eb7c
MAINT Remove support for the deprecated sequence of sequences
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MAINT Remove sequence of sequence support from datasets
MAINT Remove return_indicator param
MAINT Remove multilabel-seq test in OVR
MAINT Remove multilable-seq test in check_cv
MAINT Remove multilabel seq test in label_binarizer
TST type_of_target returns "unknown" for multilabel-sequence types
TST _check_targets should raise a ValueError
DOC show multilabel indicator as an example; remove return_indicator param
DOC use consistent lower case y for target
2015-08-11 22:26:44 +05:30
d341dac18d
Remove shebang and utf-8 header.
2015-08-11 02:24:11 +09:00
0586070499
chmod -x
2015-08-11 02:15:44 +09:00
a6c6e732c5
Merge pull request #3659 from chyikwei/onlineldavb
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ENH Latent Dirichlet Allocation (LDA) with online variational Bayes
2015-08-09 19:13:01 +02:00
9d14f7352e
ENH: Renames CallableTransformer -> FunctionTransformer.
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Makes `pass_y` an argument to FunctionTransformer to indicate that the
labels should be passed to the wrapped function.
2015-08-03 11:45:16 -04:00
cb0916c440
ENH: Adds CallableTransformer
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CallableTransformer allows a user to convert a standard python callable
into a transformer for use in a Pipeline.
2015-08-03 11:45:16 -04:00
fead69a4ac
Bugfix : type in cd changed for read only memmap compatibility
2015-07-31 12:12:40 +02:00
0bcbf922e5
Merge pull request #4965 from mrphilroth/4922
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[MRG+1] New k-means example
2015-07-29 11:20:27 -04:00
24e962cfe1
cosmit in plot_cv_predict
2015-07-28 08:34:09 +02:00
f9e07364d6
Adding a new kmeans example.
2015-07-23 14:43:26 -04:00
bc5155f080
Fixed small typos in SVM examples.
2015-07-14 22:37:08 -03:00
e28b6bdcf1
Added random seed for facial recognition example and updated the docstring
2015-07-11 21:49:07 +00:00
d9e46314b0
Updated graph ranges
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The minimum and maximum values for the graph were not correctly defined.
2015-07-10 14:13:56 +02:00
5b7768b52e
fix feature_names
2015-07-07 22:42:31 -04:00
0e976e10f7
Change name of variable to be consistent with dataset
2015-07-02 02:13:06 -07:00
1e74e7d8d1
fix typo and improve doc
2015-06-24 23:32:59 -04:00
2f1a26e368
merge NMF and LDA example
2015-06-24 00:03:48 -04:00
c655bb9b0e
changed clf to regr in decision tree regression examples
2015-06-17 15:20:23 -04:00
38227e17ef
Merge pull request #4861 from ltiao/patch-1
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Update plot_ols.py (trivial)
2015-06-15 08:40:40 +02:00
3396087038
Update plot_ols.py
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Minor/trivial NumPy slicing refactor
2015-06-15 16:17:28 +10:00
891b8417c9
DOC remove linewidth in pca/ica example
2015-06-11 13:25:36 -04:00
867da316ff
DOC minor sphinx fixes
2015-06-04 16:29:19 -04:00
eedc1cddab
Use more natural class_weight="auto" heuristic
2015-06-01 12:49:53 -04:00
ffe74abba2
change LDA example to script
2015-05-31 11:04:32 -04:00
f3b1208811
FIX typo in RobustScaler example
2015-05-27 11:18:31 +02:00
0b07536990
Merge pull request #4125 from untom/RobustScaler
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[MRG + 2] ENH RobustScaler
2015-05-26 18:02:41 -04:00
1defef0379
printing top terms even if LSI is used
2015-05-24 17:03:45 +02:00
c12ae6047b
Fix documentation errors
2015-05-21 15:36:42 +02:00
20c622f819
Improved example
2015-05-20 22:06:44 +02:00
b2eeb33f07
update example and change total_samples in fit method
2015-05-17 00:10:41 -04:00
3618a02162
fix params and import test coverage
2015-05-16 20:53:01 -04:00
283d50bb75
robust_scaling example
2015-05-16 21:53:21 +02:00
c41e640dcc
rename variable and minor pep8 fix
2015-05-15 17:39:59 -04:00
da9a91d8f5
COSMIT remove unnecessary float casting from tomography example
2015-05-12 16:47:59 -04:00
e8356d39d5
FIX add missing numpy imports to VotingClassifier examples, pep8 fixes.
2015-05-12 16:41:44 -04:00
efd5afdb95
fix typos and imporve documentation
2015-05-09 21:31:45 -04:00
efd5e3bf1c
don't use sparse.block_diag since it is new in scipy 0.11.0
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update params and minor change
add onlineLDA example
rename onlineLDA to LatentDirichletAllocation
raise NotFittedError in trnasform
change model name in LDA example
cython optimization for online LDA model
fix import error
add evaluate_every parameter in online LDA model
add score in LDA model
fix doc format
update variable name and improve docs
fix broken example and change parameter name to n_samples & n_features
add check_non_negative function in LDA
add parameter to specify online/batch VB in fit method
improve documentation
set default hyper parameter to 1 / n_topics
use gen_batches in example
remove old func from example
2015-05-09 19:30:39 -04:00
fa5bd2c70b
Merge pull request #4692 from kianho/plot-ensemble-oob-trace
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Refined the docstring for plot_ensemble_oob.py (#4665 )
2015-05-08 14:54:00 +02:00
2656f7be61
Refined the docstring for plot_ensemble_oob.py.
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- Minor change to #4665 : cleaned up the writing style of the documentation.
2015-05-08 22:50:42 +10:00
ef94a2a671
Merge pull request #4665 from kianho/plot-ensemble-oob-trace
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[MRG+1] Script for example ensemble OOB error plot. Fixes #4273
2015-05-08 11:36:44 +02:00
9eb1964724
Merge pull request #4161 from rasbt/ensemble-classifier
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[MRG + 2] EnsembleClassifier implementation
2015-05-08 09:21:36 +02:00
e038cb3759
Made more amendments according to PR feedback.
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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.
2015-05-07 18:37:51 +10:00
b6ce3226f7
Amended plot_ensemble_oob.py according to #4665 .
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@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
5b2ee7a14f
Minor amendments to plot_ensemble_oob.py.
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Corrected typo in the docstring.
Removed explicit figure size statement.
Fixed docstring formatting.
Corrected the author list.
2015-05-05 16:58:50 +10:00
017f289460
Initial commit of plot_ensemble_oob.py
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This is a proposed fix for #4273 .
2015-05-03 04:12:51 +10:00
2910198f14
votingclassifier
2015-04-20 19:27:30 -04:00
ced25e9ecd
Change urlopen and iteritems functions for Python3 compat
2015-04-16 19:24:28 -04:00
641bd932e2
Change xrange to range and remove patching import
2015-04-14 22:46:26 -04:00
02b2712f17
change to explicitly import function
2015-04-14 22:23:50 -04:00
af1a74cc48
add py3 xrange to bicluster example
2015-04-14 21:33:42 -04:00
b1348bbc14
Typo: PCA is not the abbreviation of Probablisitic
2015-03-30 22:17:39 +02:00
1491843d95
DOC minor fixes in formatting, don't use deprecated n_components in Agglomerative
2015-03-25 20:20:29 -04:00
Jan Hendrik Metzen