issues
search
rademacher-p
/
stats-learn
Python package for statistical learning with a Bayesian focus
https://rademacher-p.github.io/stats-learn/
MIT License
1
stars
0
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
Fix treatment of `predictor.set_params` in `results` utils
#42
rademacher-p
opened
4 months ago
1
Parallelization of Monte Carlo simulations
#41
rademacher-p
opened
5 months ago
2
CI w/ Actions
#40
rademacher-p
opened
1 year ago
0
Move specialized `torch` predictors to namespace package
#39
rademacher-p
opened
1 year ago
0
Convert to PEP484 typing and Google docstrings
#38
rademacher-p
opened
1 year ago
0
Stable, clean branch for TSP paper
#37
rademacher-p
closed
2 years ago
1
Add `reset` and modify `fit` for `bayes.elements`
#36
rademacher-p
closed
2 years ago
0
README and Sphinx docs
#35
rademacher-p
closed
2 years ago
0
Subpackage __init__
#34
rademacher-p
closed
2 years ago
0
Implement/compare Gaussian Processes
#33
rademacher-p
closed
5 months ago
1
Complete example scripts for existing results
#32
rademacher-p
closed
2 years ago
1
Remove need for LaTeX for users, use MPL TeX
#31
rademacher-p
closed
2 years ago
0
Deprecate old/bad code
#30
rademacher-p
closed
2 years ago
0
Add docstrings
#29
rademacher-p
closed
2 years ago
0
Deprecate use of my `PhDmath` LaTeX package for end users
#28
rademacher-p
closed
2 years ago
0
Results checkpointing
#27
rademacher-p
opened
2 years ago
0
Setup and Testing
#1
rademacher-p
closed
2 years ago
0
Implement predictor parameter set access, use in `fit` calls
#2
rademacher-p
opened
3 years ago
1
Real data set use
#3
rademacher-p
opened
3 years ago
1
Interface with popular package estimators
#9
rademacher-p
closed
2 years ago
1
LaTeX figure text support
#17
rademacher-p
closed
2 years ago
0
Request-only statistic attributes
#7
rademacher-p
opened
3 years ago
0
Frame out computational evaluation of risk and bias/variance
#4
rademacher-p
opened
3 years ago
1
Set `Space` attribute `x_plt` on request only
#18
rademacher-p
closed
2 years ago
0
Override empirical model rvs
#19
rademacher-p
closed
2 years ago
0
Validate code using existing finite Dirichlet results
#13
rademacher-p
closed
2 years ago
1
Categorical vs Grid distinction
#5
rademacher-p
opened
3 years ago
0
Use numerical methods in `spaces` for statistics in `random.elements.Base`
#8
rademacher-p
opened
3 years ago
0
Implement special `Finite` subclasses for `DataEmpirical` and `Mixture`
#6
rademacher-p
opened
3 years ago
0
`Mixture` distribution statistic approximation
#14
rademacher-p
closed
2 years ago
1
Implement `spaces`
#15
rademacher-p
closed
2 years ago
0
Frame out generic Dirichlet Bayes model class
#16
rademacher-p
closed
2 years ago
0
`bayes.Base` refactor to allow parameter get/set
#20
rademacher-p
closed
2 years ago
0
Rework `bayes` object parameter get/set and effect on "warm" learning
#11
rademacher-p
closed
2 years ago
1
RNG reproducibility rework
#10
rademacher-p
closed
2 years ago
0
Add sequential learning functionality
#21
rademacher-p
closed
2 years ago
1
Refactor names in RE_obj module
#22
rademacher-p
closed
2 years ago
0
Consolidate `space` and `predictors` plotting routines
#23
rademacher-p
closed
2 years ago
0
Incorrect Normal learning plots
#24
rademacher-p
closed
2 years ago
1
Create functions to compare various algorithms and parameterizations
#12
rademacher-p
closed
2 years ago
1
Rename `data_shape` RE attributes to `shape`, do same for size.
#25
rademacher-p
closed
2 years ago
0
NormalRV.pf computational inefficiency
#26
rademacher-p
closed
2 years ago
0