Ecosyste.ms: Issues
An open API service for providing issue and pull request metadata for open source projects.
GitHub / NICTA/revrand issues and pull requests
#133 - Publish Nlopt wrappers of old revrand project as separate package
Issue -
State: open - Opened by dschmitz89 over 3 years ago
- 4 comments
#132 - How to Simulate A la Carte
Issue -
State: open - Opened by FBoyang almost 5 years ago
- 2 comments
#131 - problems with demos
Issue -
State: closed - Opened by AIAdventures over 7 years ago
- 4 comments
#130 - Make ARD length-scale bases return generator gradients instead of tensors
Issue -
State: open - Opened by dsteinberg almost 8 years ago
Labels: enhancement
#129 - Use scikit learn "check_estimator" in tests
Issue -
State: closed - Opened by dsteinberg almost 8 years ago
- 1 comment
#128 - Implement random arc-cosine features
Issue -
State: closed - Opened by dsteinberg almost 8 years ago
- 1 comment
Labels: enhancement
#127 - Explore softplus as a replacement to log for optimising positive parameters
Issue -
State: closed - Opened by dsteinberg almost 8 years ago
- 1 comment
Labels: question
#126 - Random/GridSearchCv tests
Pull Request -
State: closed - Opened by basaks almost 8 years ago
#125 - Grid/RandomSearchCv tests
Pull Request -
State: closed - Opened by basaks almost 8 years ago
#124 - Check uncoverml revrand gridsearch traceback
Issue -
State: closed - Opened by basaks about 8 years ago
- 2 comments
#123 - Use slices in calculating composed basis gradients rather than zero padding?
Issue -
State: open - Opened by dsteinberg about 8 years ago
Labels: enhancement
#122 - Make nice __repr__ methods for all of the objects in revrand
Issue -
State: closed - Opened by dsteinberg about 8 years ago
#121 - Basis and Likelihood classes should use the parameters in the initialiser, and not require the inputs of the same parameters into the methods
Issue -
State: closed - Opened by dsteinberg about 8 years ago
- 1 comment
#120 - Scalar regularizer is not the same as regularizer per-basis type for kernel composition
Issue -
State: closed - Opened by dsteinberg about 8 years ago
#119 - Basis functions should have "gain" parameters
Issue -
State: closed - Opened by dsteinberg about 8 years ago
- 1 comment
Labels: enhancement
#118 - Trivial item, base.py comment unclear meaning
Issue -
State: closed - Opened by zunzun about 8 years ago
- 1 comment
Labels: in progress
#117 - Should the GLM and SLM set RandomState of input objects?
Issue -
State: closed - Opened by dsteinberg about 8 years ago
- 1 comment
Labels: question
#116 - Investigate numerical issues in tests
Issue -
State: closed - Opened by dsteinberg about 8 years ago
- 1 comment
Labels: bug
#115 - StandardLinearModel and GeneralisedLinearModel do not work with sklearn.base.clone
Issue -
State: closed - Opened by dsteinberg about 8 years ago
#114 - Add "check_random_state" functionality to the random bases
Issue -
State: closed - Opened by dsteinberg about 8 years ago
Labels: enhancement
#113 - Import a few more revrand classes/functions into the main namespace?
Issue -
State: closed - Opened by dsteinberg about 8 years ago
Labels: question
#112 - remove/archive legacyGP?
Issue -
State: closed - Opened by dsteinberg about 8 years ago
Labels: question
#111 - Non-intrusive metrics logger
Pull Request -
State: closed - Opened by darrnshn about 8 years ago
- 2 comments
#110 - Numerical overflow in logtrick
Issue -
State: closed - Opened by dsteinberg over 8 years ago
- 2 comments
Labels: bug, in progress
#109 - combination basis error with GLM
Issue -
State: closed - Opened by MushroomHunting over 8 years ago
- 3 comments
Labels: bug
#108 - Implement Auto-Encoding VB for the GLM
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: enhancement
#107 - Initialise the weights of the GLM with the MAP solution
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: enhancement
#106 - Extensive profiling
Issue -
State: open - Opened by dsteinberg over 8 years ago
Labels: testing
#105 - Implement predict_proba methods for the SLM and GLM
Issue -
State: closed - Opened by dsteinberg over 8 years ago
- 3 comments
Labels: enhancement
#104 - Finish report
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: in progress
#103 - Do we need to use append_or_extend with the optimisers?
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: question
#102 - Improve Optimisation and Model tests
Issue -
State: closed - Opened by dsteinberg over 8 years ago
- 1 comment
Labels: testing
#101 - Convert all demos to notebooks
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: enhancement
#100 - We are still getting Non PSD errors in solve_posdef
Issue -
State: closed - Opened by dsteinberg over 8 years ago
- 1 comment
Labels: bug
#99 - Simple global optimisation for SLM (and GLM)
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: enhancement, in progress
#98 - Variance of prediction results with BLR and GLM (and a few questions)
Issue -
State: closed - Opened by MushroomHunting over 8 years ago
- 3 comments
#97 - Return named tuple from glm and slm learn functions
Issue -
State: closed - Opened by dsteinberg over 8 years ago
- 2 comments
Labels: enhancement
#96 - Sampling in GLM predict functions has slowed down
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: bug
#95 - Implement three parameter beta likelihood
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: enhancement
#94 - Implement predict_likelihood in glm
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: enhancement
#93 - Gaussian Spectral Mixture using RFF approximation
Issue -
State: open - Opened by dsteinberg over 8 years ago
Labels: enhancement
#92 - Improve documentation
Issue -
State: closed - Opened by dsteinberg over 8 years ago
- 1 comment
Labels: enhancement
#91 - Feature/clean
Pull Request -
State: closed - Opened by ltiao over 8 years ago
#90 - Cannot install :(
Issue -
State: closed - Opened by ltiao over 8 years ago
- 7 comments
#89 - Code review 10 June
Pull Request -
State: closed - Opened by dsteinberg over 8 years ago
#88 - Write up GLM and SLM in the report
Issue -
State: closed - Opened by dsteinberg over 8 years ago
- 1 comment
#87 - implement even more bases
Issue -
State: open - Opened by dsteinberg over 8 years ago
Labels: enhancement
#86 - Allow per-datum likelihood arguments in GLM
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: enhancement
#85 - Do we still need safe divide (safediv) with safechol?
Issue -
State: closed - Opened by dsteinberg over 8 years ago
- 1 comment
Labels: question
#84 - Replace jitchol with safechol
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: enhancement
#83 - Instead of inputting initial basis paramaters in bparams lists, input them as part of basis function construction
Issue -
State: closed - Opened by dsteinberg over 8 years ago
- 2 comments
Labels: enhancement, question
#82 - Make the output of predict_meanvar etc more transparent
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: enhancement
#81 - Replicate scipy/numpy heirarchy
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: question
#80 - Reconsider logging and printing
Issue -
State: closed - Opened by dsteinberg over 8 years ago
- 1 comment
Labels: enhancement, question
#79 - __call__ members are not documented in sphinx
Issue -
State: closed - Opened by dsteinberg over 8 years ago
#78 - Make the new bounds contain transformation information
Issue -
State: closed - Opened by dsteinberg over 8 years ago
- 2 comments
Labels: someday/maybe
#77 - Bring back demo_classification.py
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: enhancement
#76 - Remove redundant code
Issue -
State: closed - Opened by dsteinberg over 8 years ago
#75 - Rebase autograd branch
Issue -
State: closed - Opened by ltiao over 8 years ago
Labels: someday/maybe
#74 - Investigate latest release of GPy and deprecate LegacyGP
Issue -
State: closed - Opened by ltiao over 8 years ago
- 1 comment
Labels: question
#73 - Investigate Autograd for GLM
Issue -
State: closed - Opened by ltiao over 8 years ago
Labels: someday/maybe
#72 - Make revrand algorithm interface compatible with scikit learn
Issue -
State: closed - Opened by dsteinberg over 8 years ago
- 5 comments
Labels: enhancement, help wanted
#71 - Second order derivatives are being calculated when they should not
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: bug, someday/maybe
#70 - Look into autograd with learn_sgd
Issue -
State: closed - Opened by ltiao over 8 years ago
- 2 comments
#69 - Fancy Unit Tests for Stochastic Optimization
Issue -
State: open - Opened by ltiao over 8 years ago
Labels: someday/maybe
#68 - Do this milestone.
Issue -
State: closed - Opened by ltiao over 8 years ago
Labels: help wanted
#67 - Function result type module and decorators
Issue -
State: closed - Opened by ltiao over 8 years ago
Labels: someday/maybe
#66 - Make unit tests for the optimiser decorators that test the callable jac functions
Issue -
State: closed - Opened by dsteinberg over 8 years ago
Labels: testing
#65 - Manually derived gradients for variable-length args should extend resulting gradient array, rather than being an element of it
Issue -
State: closed - Opened by ltiao almost 9 years ago
- 1 comment
#64 - Autograd ELBO where basis function has more than one hyperparameter
Issue -
State: closed - Opened by ltiao almost 9 years ago
- 1 comment
Labels: someday/maybe
#63 - Utilize optimizer callbacks
Issue -
State: closed - Opened by ltiao almost 9 years ago
- 1 comment
#62 - Delete obsolete branches
Issue -
State: closed - Opened by ltiao almost 9 years ago
#61 - Port existing code to use Autograd's wrapped scipy/numpy
Issue -
State: closed - Opened by ltiao almost 9 years ago
Labels: someday/maybe
#60 - Get free GP with Autograd mvn.logpdf
Issue -
State: closed - Opened by ltiao almost 9 years ago
#59 - Profile regression.learn with autograd
Issue -
State: closed - Opened by ltiao almost 9 years ago
- 2 comments
#58 - Implement compose and concat for basis functions
Issue -
State: closed - Opened by ltiao almost 9 years ago
#57 - Port existing basis functions to new framework
Issue -
State: closed - Opened by ltiao almost 9 years ago
#56 - Decide whether to implement basis functions as higher-order functions or class-based functions
Issue -
State: closed - Opened by ltiao almost 9 years ago
- 1 comment
#55 - Add support for bounded types to Basis function framework
Issue -
State: closed - Opened by ltiao almost 9 years ago
#54 - Add support for bounded types in optimizer
Issue -
State: closed - Opened by ltiao almost 9 years ago
#53 - Implement superficial "slice" basis function
Issue -
State: closed - Opened by ltiao almost 9 years ago
#52 - Implement bounded parameter types
Issue -
State: closed - Opened by ltiao almost 9 years ago
- 5 comments
#51 - Define primitive for `cho_solve`
Issue -
State: closed - Opened by ltiao almost 9 years ago
Labels: someday/maybe
#50 - Autograd with Basis framework
Issue -
State: closed - Opened by ltiao almost 9 years ago
Labels: someday/maybe
#49 - Investigate gradient operation on basis concatenation
Issue -
State: closed - Opened by ltiao almost 9 years ago
- 1 comment
#48 - Reimplement regression.learn with auto differentiated gradients
Issue -
State: closed - Opened by ltiao almost 9 years ago
- 1 comment
#47 - Compare auto gradient values agains explicit gradients
Issue -
State: closed - Opened by ltiao almost 9 years ago
- 3 comments
#46 - Slight API change to legacygp
Pull Request -
State: closed - Opened by Kelvin-Hsu almost 9 years ago
- 1 comment
#45 - LinearBasis + RandomRBF_ARD breaks, hypers dimension inconsistent
Issue -
State: closed - Opened by dsteinberg almost 9 years ago
- 1 comment
Labels: bug
#44 - dora now points to revrand/legacygp
Pull Request -
State: closed - Opened by Kelvin-Hsu almost 9 years ago
- 1 comment
#43 - Prediction: in minibatches or per datum so to not blow out memory
Issue -
State: closed - Opened by dsteinberg almost 9 years ago
Labels: enhancement
#41 - Integrate legacyGP with SARCOS demo, remove all dora dependencies and references
Issue -
State: closed - Opened by dsteinberg almost 9 years ago
#40 - LegacyGP gives me very small and negative predictive variances
Issue -
State: closed - Opened by dsteinberg almost 9 years ago
Labels: bug
#38 - Why do does regression.learn_sgd learn large variances?
Issue -
State: closed - Opened by dsteinberg almost 9 years ago
- 3 comments
Labels: bug, question
#37 - Investigate automatic differentiation
Issue -
State: closed - Opened by dsteinberg almost 9 years ago
- 1 comment
Labels: enhancement, question
#36 - Implement multitask regression
Issue -
State: closed - Opened by dsteinberg almost 9 years ago
- 2 comments
Labels: someday/maybe
#34 - Implement more basis functions
Issue -
State: closed - Opened by dsteinberg almost 9 years ago
Labels: enhancement, help wanted
#33 - Get ADADELTA working on SPARK
Issue -
State: closed - Opened by dsteinberg almost 9 years ago
- 1 comment
Labels: someday/maybe
#7 - Applicative lifting of Basis functions a.k.a. "composing" (but not really composing)
Issue -
State: closed - Opened by ltiao about 9 years ago
Labels: enhancement
#4 - Optimizer abstraction
Issue -
State: closed - Opened by ltiao about 9 years ago
- 2 comments
Labels: enhancement