Ecosyste.ms: Issues
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GitHub / BradhamLab/ncfs issues and pull requests
#31 - Error while setting metric to Euclidean
Issue -
State: open - Opened by sidkoch almost 2 years ago
- 2 comments
#30 - NCFS.fit() causes my computer to crash
Issue -
State: open - Opened by paulcbogdan almost 2 years ago
- 3 comments
#29 - ModuleNotFoundError: No module named 'NCFS'
Issue -
State: closed - Opened by arihantjn53 about 2 years ago
- 2 comments
#28 - Calculation of Feature Weights in Fully-Functional JAX code
Issue -
State: closed - Opened by zoebarinaga about 3 years ago
- 4 comments
#27 - Re-calculation of Distance Matrix
Issue -
State: closed - Opened by zoebarinaga over 3 years ago
#26 - Comparisons to perform:
Issue -
State: closed - Opened by dakota-hawkins over 3 years ago
- 3 comments
Labels: enhancement
#25 - Jitted distance matrix produces error
Issue -
State: closed - Opened by dakota-hawkins over 3 years ago
- 3 comments
Labels: bug
#24 - Jax roadmap
Issue -
State: closed - Opened by dakota-hawkins over 3 years ago
Labels: enhancement
#23 - Efficiently calculated distance matrices using Jax
Issue -
State: closed - Opened by dakota-hawkins over 3 years ago
- 2 comments
Labels: enhancement
#22 - Test distance autodiff using JAX
Issue -
State: closed - Opened by dakota-hawkins over 3 years ago
#21 - Add WeightedKNN Class
Issue -
State: closed - Opened by dakota-hawkins over 4 years ago
Labels: enhancement
#20 - Euclidean Distance Fails to Converge
Issue -
State: closed - Opened by dakota-hawkins over 4 years ago
Labels: bug
#19 - PhiS metric results in segmentation fault
Issue -
State: closed - Opened by dakota-hawkins over 4 years ago
Labels: bug
#18 - Fix sample-weight term in partial derivative derivations
Issue -
State: closed - Opened by dakota-hawkins over 4 years ago
Labels: enhancement
#17 - Write Units Tests for Distance Metrics
Issue -
State: closed - Opened by dakota-hawkins over 4 years ago
Labels: enhancement
#16 - Segregate kernels + optimizers into their own python files
Issue -
State: closed - Opened by dakota-hawkins over 4 years ago
Labels: enhancement
#15 - Re-Implement Adam Optimizer
Issue -
State: closed - Opened by dakota-hawkins over 4 years ago
Labels: enhancement
#14 - Fails to converge with sample_weights < 1
Issue -
State: closed - Opened by dakota-hawkins over 4 years ago
#13 - Test vectorization of feature gradient vs numba parallel
Issue -
State: closed - Opened by dakota-hawkins over 4 years ago
Labels: enhancement
#12 - Implement partial_fit()
Issue -
State: closed - Opened by dakota-hawkins over 4 years ago
Labels: enhancement
#11 - Re-implement feature distance matrix calculation during fitting
Issue -
State: closed - Opened by dakota-hawkins over 4 years ago
Labels: enhancement
#10 - Refactor code using Dask
Issue -
State: closed - Opened by dakota-hawkins almost 5 years ago
- 1 comment
Labels: enhancement
#9 - Implement feature distance matrix as memmap
Issue -
State: closed - Opened by dakota-hawkins almost 5 years ago
- 1 comment
Labels: enhancement
#8 - Gradients improperly calculated for non manhattan or squared euclidean distances
Issue -
State: closed - Opened by dakota-hawkins over 5 years ago
- 1 comment
Labels: bug, wontfix
#7 - Add reference passes where possible.
Issue -
State: closed - Opened by dakota-hawkins over 5 years ago
- 1 comment
Labels: enhancement
#6 - Write C++ Implementation
Issue -
State: closed - Opened by dakota-hawkins over 5 years ago
- 1 comment
Labels: enhancement
#5 - Negative weights with z-centered data matrix
Issue -
State: closed - Opened by dakota-hawkins over 5 years ago
- 1 comment
Labels: bug
#4 - Stochastic Gradient ascent not super robust
Issue -
State: closed - Opened by dakota-hawkins over 5 years ago
Labels: look into
#3 - Implement Stochastic Learning
Issue -
State: closed - Opened by dakota-hawkins over 5 years ago
#2 - Add Adam gradient learning
Issue -
State: closed - Opened by dakota-hawkins over 5 years ago
Labels: enhancement
#1 - NCFS fails to converge when feature distances are pre-calculated
Issue -
State: closed - Opened by dakota-hawkins over 5 years ago
Labels: bug