Release v0.3.7

What's Changed

• rename gilbrat -> gibrat for scipy fix by @zdelrosario in #224
• update scipy ver requirement for gibrat fix by @zdelrosario in #225
• Dev uqtheme by @zdelrosario in #227
• Fix nls fixedvals by @zdelrosario in #228
• add random seed argument by @zdelrosario in #229
• Dev trunc by @zdelrosario in #230
• Dev piston model by @zdelrosario in #231
• Dev mom bounded by @zdelrosario in #232

Full Changelog: v0.3.6...v0.3.7

Hotfix v0.3.6

Full Changelog: v0.3.5...v0.3.6

Fix issue with scipy>=1.11 with renamed distribution from "gilbrat" to "gibrat"

Release v0.3.5

What's Changed

• Dev fix examples by @zdelrosario in #177
• Dev pi nhypergeom by @zdelrosario in #178
• add hide_traceback() by @zdelrosario in #179
• Fix runtime est by @zdelrosario in #180
• Dev sample index by @zdelrosario in #182
• Dev sir by @zdelrosario in #183
• use solve_ivp's t_eval, rather than interpolation by @zdelrosario in #184
• Dev Python versioning & testing by @mstites in #187
• Fix fit nls out by @zdelrosario in #190
• Dev tuple trap - grouping of common invariant tests for eval verbs by @mstites in #195
• Fix colset by @zdelrosario in #201
• Incorporate hotfix into dev_eval_linup by @zdelrosario in #202
• Dev eval linup by @zdelrosario in #200
• Dev form inputs by @zdelrosario in #203
• test that convergence warning is raised by @zdelrosario in #204
• Dev sample ncrn by @zdelrosario in #205
• Dev runtime units by @zdelrosario in #206
• Dev cp freeze by @zdelrosario in #207
• Dev freeze df by @zdelrosario in #208
• deprecate tran_poly by @zdelrosario in #210
• Pull sklearn deprecation fix by @zdelrosario in #211
• Fix freeze density by @zdelrosario in #209
• Dev is numeric by @zdelrosario in #212
• Fix runtime msg by @zdelrosario in #213
• Dev plot color by @zdelrosario in #214
• Dev autoplot sobol by @zdelrosario in #215
• version lock pandas to fix pivot_wider by @zdelrosario in #218
• add black and white color mode, cover with test by @zdelrosario in #216
• Deprecate lolo & fix numpy version issue by @eys123 in #221
• add getvars() utility to help with cp_function() by @zdelrosario in #223
• Update comp_function() to take in separate inputs by @MayaSimone in #222

New Contributors

• @mstites made their first contribution in #187
• @eys123 made their first contribution in #221
• @MayaSimone made their first contribution in #222

Full Changelog: v0.3.4...v0.3.5

Release v0.3.4

What's Changed

• fix incorrect docstrings; add decimal arg to round() by @zdelrosario in #171
• Dev n implicit by @zdelrosario in #173: Can now call gr.n() within a pipeline without using the gr.n(DF.index) hack
• Code Maintenance(Coalesce) by @OscarDeGar in #172
• add helpful error message when passing Intention to dataframe helpers… by @zdelrosario in #175
• Added Functionality to Pivot_longer by @OscarDeGar in #176: columns argument now supports selection helpers, such as gr.matches(); names_sep now supports both separator characters and separate-by-position (e.g. names_sep=[1, -1]).

Full Changelog: v0.3.3...v0.3.4

Version 0.3.3

Features

• Added Xbar and S chart utility plot_xbs()
• Added fit_polyridge() to return fitted model based on polynomial ridge regression. Useful for cross-validation of polyridge hyperparameters, and another metamodel option!

Documentation

• Significant improvements to transform documentation, including tran_rename, tran_mutate, tran_filter, tran_select, tran_sample, tran_summarize, and associated helper functions

Fixes

• Removed a use of np.int

Version 0.3.2 (Hotfix)

Fixes

• add psdr subpackages to setup.py to fix ModuleNotFound errors

Version 0.3.1

Breaking changes

• deprecate tf_transmute()
• rename Marginal.l() to Marginal.d(); this is a density, not a likelihood
• rename marg_named() to marg_fit(); that name is confusing now that we also have marg_mom()
• change argument order for marg_fit() to make consistent with marg_mom()
• rename colmin -> min, colmax -> max, colsum -> sum

Features

• add random variable sample to marginals Marginal.r(n)
• add frozen location parameter option to marg_mom() and marg_fit(); enables access to 2-parameter lognormal and 2-parameter Weibull distributions
• make marginal summary output more readable by reporting standard moments, rather than distribution parameters
• add autoplot dispatch from eval_contour() output
• add linspace() and logspace() helper functions
• add thermal-radiation channel model based on Andrew Banko's thesis; verify implementation against existing data
• add tran_iocorr() to compute input/output correlations; autoplot dispatch for useful EMA tool (correlation tileplot)
• add mean_lo|up() and pr_lo|up() helper summary functions to compute lower and upper confidence interval bounds

Fixes

• fixed bug with automatic levels in eval_contour()
• correct buckling plate model; now takes wavenumber for buckling mode
• remove dependency on psdr package by inboarding & trimming code, allows us to keep tran_varproj() without a cvxpy dependency
• vectorize the cantilever beam model's functions

Documentation

• add a more informative example in docstring for if_else()
• add documentation to eval_sample() that mentions tran_sp() for reducing model runtime
• add link to random variable modeling page in documentation to undefined copula error

Version 0.3.0

Breaking Changes

• renamed eval_monte_carlo() to eval_sample()
• changed default argument behavior for n in eval_sample(); no longer provides default n=1

Infrastructure Changes

• Moved dependencies from requirements.txt to setup.py
• Changed optional dependencies to fail at runtime, rather than at import. Also moved optional dependencies to main grama namespace.

Features

• Added importance sampling with tran_reweight; effective sample size approximation with neff_is()
• Added active subspace approximation with tran_polyridge()
• Added marginal fitting by the method of moments with marg_mom()
• Added fumulative standard deviation window function cumsd()
• Added plotnine under-the-hood for visualization; plotnine functions available through Grama namespace for convenience
• Re-implemented autoplot utilities using plotnine
• Added contour generation through marching squares with linear interpolation via eval_contour()
• Made Marginal class functions Marginal.l(), Marginal.q(), Marginal.p() symbolic to enable use within tran_mutate()
• Added QQ plot helper qqvals()
• Added grouped counting helper tran_count()
• Added df_group() helper to generate sweeps

Fixes

• Vectorized trajectory model
• Fixed bugs in PRLC model, added unittest coverage

Version 0.2.2

Additions:

• Summary functions gr.skew() and gr.kurt()

Fixes:

• Fix behavior of tran_pivot_longer() when using .value and names_sep simultaneously; no longer have to provide dummy values_to argument.

Version 0.2.1

Additions:

• gr.tran_pivot_wider() and gr.tran_pivot_longer() for reshaping data; patterned off of the pivoting tools in tidyr @OscarDeGar

Fixes:

• Docstrings for dfply functions (such as gr.tf_mutate) fixed; this makes it much easier to reference these tools when coding @OscarDeGar
• Eliminated some circular importing by restructuring core.py and tools.py; adding a new marginals.py to consolidate marginal-related tools @Riya-1

Thanks to:

• @OscarDeGar
• @Riya-1