b89fcd303b
Fix tests on numpy master ( #8355 )
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numpy.apply_along_axis has changed behaviour when the function passed
in returns a 2d array
2017-02-15 23:22:49 +11:00
8570622a44
[MRG+1] DOC insert spaces before colons in parameter lists ( #7920 )
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* DOC insert spaces before colons in parameter lists
Complies with numpydoc to improve rendering and automatic quality
assurance such as #7793 . Affects listings of Parameters Attributes,
Returns.
Performed with the help of:
grep -nE '^( )+[a-zA-Z][a-zA-Z0-9_]*: ' sklearn -R | grep -v -e
externals -e tests | grep -v -e default: -e else: -e Warning: -e Note:
-e TRAIN: -e Default: -e True: -e False: -e DOI: -e In: | gsed
's|\([^:]*\):\([0-9]*\):\([^:]*\):\(.*\)|--- a/\1\n+++ b/\1\n@@ -\2,1
+\2,1 @@\n-\3:\4\n+\3 :\4|' | git apply --unidiff-zero -
* DOC fix numpydoc format for param
2016-11-25 10:59:22 +01:00
60a1356f31
[MRG + 1] More versionadded everywhere! ( #7403 )
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* insert versionadded versionchanged directives in docstrings for 0.18
indicate where exception classes were moved from
* moved versionadded in the proper places
2016-09-27 16:19:47 -04:00
49fb295561
[MRG+2] Fix repr on isotropic kernels when a 1-D length scale is given ( #7259 )
2016-09-03 22:02:07 +10:00
c31ad7ada3
[MRG + 1] [MAINT] Remove non-trivial logic during kernel initialization ( #6963 )
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* Make sure set_params does not break clone on kernels
For example, in kernels such as RBF, using set_params with a
length_scale of different length, used to break clone because of
the non-trivial modification of length_scale in the constructor.
This PR resolves this by moving this logic to __call__ and
making hyperparameter attributes properties.
* Fix tests by using get_params and implement __eq__ for Hyperparameter
* Explain XXX
* Check that hyperparameters are equal after non-trivial set_params
* Refactor into _check_length-scale
2016-08-16 23:43:58 -07:00
d2aaf0f4bb
doc: fix spellings of 'license'
2016-03-31 17:25:31 -07:00
4ae03d1bab
Merge pull request #5701 from ziky90/gp-comparison-fixes
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[MRG + 1] Fix 5663: string comparison on arrays in new Gaussian process
2016-02-03 16:34:11 +01:00
2653833a07
DOC some fixes to the doc build.
2015-11-03 12:23:23 -05:00
b9fdeb056d
shortened if condition based on glouppe's suggestion
2015-11-03 15:35:10 +01:00
149aade763
Fixed string comparison on arrays in new Gaussian process described in issue #5663
2015-11-03 14:50:17 +01:00
8878088b19
FIX inspect.argspect is deprecated; use signature
2015-10-24 10:27:26 +02:00
edc4a651c6
ADD Mixins for normalized and stationary kernels
2015-10-19 18:07:14 +02:00
c3a41a310f
FIX String comparison via equality and not identity in Hyperparameter.__init__
2015-10-19 18:07:14 +02:00
e2a340a4ee
REF More meaningful names for hyperparameters of GP kernels
2015-10-19 18:07:14 +02:00
2dd1f285b9
PEP8 Making pep8 and pyflakes happy
2015-10-19 18:07:14 +02:00
f76e64c9c7
FIX Fix failing tests (doctest, order of hyperparameters, pairwise_kernels)
2015-10-19 18:07:14 +02:00
1813322d0a
DOC Documenting GP kernel API
2015-10-19 18:07:14 +02:00
c85177ef51
DEL Removing bounds.setter in kernels.py
2015-10-19 18:07:14 +02:00
eb54b496d2
REF Removing theta_vars attribute from kernels and using Hyperparameter instances instead
2015-10-19 18:07:14 +02:00
4c40f64753
FIX theta_vars correctly supported in KernelOperators
2015-10-19 18:07:14 +02:00
d344fa6588
ENH Full support of (deep) get_params() and set_params() in GP kernels
2015-10-19 18:07:14 +02:00
d0eb99be76
ENH More efficient computation of K_gradient for anisotropic Matern kernel
2015-10-19 18:07:13 +02:00
c6db24e56f
REF Several small changes based on @eickenberg's suggestions
2015-10-19 18:07:13 +02:00
9b86186ceb
COS Removing keyword magic from PairwiseKernel
2015-10-19 18:07:13 +02:00
adc7451201
PEP8 Fixing PEP8 issues in gaussian_process package
2015-10-19 18:07:13 +02:00
c8f23f401b
FIX Using six.string_types instead of basestring (python3 compatibility)
2015-10-19 18:07:12 +02:00
bf0e290a38
ADD CompoundKernel for multi-class GP classification
2015-10-19 18:07:12 +02:00
37a6348e30
FIX RBF and Matern kernel handle 1d length 1 length-scales correctly
2015-10-19 18:07:12 +02:00
9443f948c6
FIX Checking for correct dimensionality of anisotropic kernels
2015-10-19 18:07:12 +02:00
daa90c22d3
ENH Adding Matern kernel for Gaussian Processes
2015-10-19 18:07:12 +02:00
8af909b96e
FIX Correcly composing theta vector in GP kernels
2015-10-19 18:07:12 +02:00
4db5142bb8
REFACTOR GP kernel hyperparameters theta and their bounds are log-tranformed
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This representation of the search space is more amenable for
hyperparameter search, as hyperparameters like
length-scales naturally live on a log-scale.
2015-10-19 18:07:11 +02:00
698ecf5a01
DOC Backported documentation to kernels module
2015-10-19 18:07:11 +02:00
d0a5ff89f2
FIX GP kernels check for type equality before checking attribute equality
2015-10-19 18:07:11 +02:00
c961392424
REFACTOR Changed order of l and alpha in RationalQuadratic kernel
2015-10-19 18:07:10 +02:00
ebf3f05994
REFACTOR Removed literal form of specifying bounds for ConstantKernel
2015-10-19 18:07:10 +02:00
caa4196c3a
DOC Revised docstrings of kernels.py
2015-10-19 18:07:10 +02:00
31ef64571e
FIX Dealing with anisotropic length-scales correctly
2015-10-19 18:07:10 +02:00
e3413b70f7
FIX Kernel property theta can deal with anisotropic RBF kernel
2015-10-19 18:07:10 +02:00
79d2194331
REFACTOR Kernel hyperparamters are now set via their name
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The property theta, its gradient and bounds are used solely for optimization but not during kernel specification.
2015-10-19 18:07:10 +02:00
1c70e52dd6
ENH Adding diag(X) method to GP kernels.
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Using this method rather than np.diag(kernel(X)) or np.apply_along_axis
reduces memory-consumption and speeds up computation considerably
2015-10-19 18:04:56 +02:00
0a23d9e604
REFACTOR Compute standard deviation of predictive distribution at n points in O(n)
2015-10-19 18:04:56 +02:00
e3423b989a
FIX Minor bugfixes and downward-compatibility/python3 issue
2015-10-19 18:04:56 +02:00
91b5739a43
FIX Using numpy-downward compatible ones_lile() instead of full_like()
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
2feb6e02cf
REFACTOR Replacing all calls to deepcopy() by clone()
2015-10-19 18:04:55 +02:00
8699a4c03f
ENH Kernel implements equality check and get_params() method
2015-10-19 18:04:55 +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
c259905021
ENH Adding method is_stationary to GP kernels
2015-10-19 18:04:55 +02:00
Loïc Estève