Estimagic

Latest version: v0.4.6

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0.4.0

- {gh}`366` Update ({ghuser}`segsell`)
- {gh}`362` Polish documentation ({ghuser}`segsell`)

0.3.4

- {gh}`364` Use local random number generators ({ghuser}`timmens`)
- {gh}`363` Fix pounders test cases ({ghuser}`segsell`)
- {gh}`361` Update estimation code ({ghuser}`timmens`)
- {gh}`360` Update results object documentation ({ghuser}`timmens`)

0.3.3

- {gh}`357` Adds jax support ({ghuser}`janosg`)
- {gh}`359` Improves error handling with violated constaints ({ghuser}`timmens`)
- {gh}`358` Improves cartis roberts set of test functions and improves the
default latex rendering of MultiIndex tables ({ghuser}`mpetrosian`)

0.3.2

- {gh}`355` Improves test coverage of contraints processing ({ghuser}`janosg`)
- {gh}`354` Improves test coverage for bounds processing ({ghuser}`timmens`)
- {gh}`353` Improves history plots ({ghuser}`timmens`)
- {gh}`352` Improves scaling and benchmarking ({ghuser}`janosg`)
- {gh}`351` Improves estimation summaries ({ghuser}`timmens`)
- {gh}`350` Allow empty queries or selectors in constraints ({ghuser}`janosg`)

0.3.1

- {gh}`349` fixes multiple small bugs and adds test cases for all of them
({ghuser}`mpetrosian`, {ghuser}`janosg` and {ghuser}`timmens`)

0.3.0

Fist release with pytree support in optimization, estimation and differentiation
and much better result objects in optimization and estimation.

Breaking changes

- New `OptimizeResult` object is returned by `maximize` and `minimize`. This
breaks all code that expects the old result dictionary. Usage of the new result is
explained in the getting started tutorial on optimization.
- New internal optimizer interface that can break optimization with custom optimizers
- The inferface of `process_constraints` changed quite drastically. This breaks
code that used `process_constraints` to get the number of free parameters or check
if constraints are valid. There are new high level functions
`estimagic.check_constraints` and `estimagic.count_free_params` instead.
- Some functions from `estimagic.logging.read_log` are removed and replaced by
`estimagic.OptimizeLogReader`.
- Convenience functions to create namedtuples are removed from `estimagic.utilities`.
- {gh}`346` Add option to use nonlinear constraints ({ghuser}`timmens`)
- {gh}`345` Moves estimation_table to new latex functionality of pandas
({ghuser}`mpetrosian`)
- {gh}`344` Adds pytree support to slice_plot ({ghuser}`janosg`)
- {gh}`343` Improves the result object of estimation functions and makes msm estimation
pytree compatible ({ghuser}`janosg`)
- {gh}`342` Improves default options of the fides optimizer, allows single constraints
and polishes the documentation ({ghuser}`janosg`)
- {gh}`340` Enables history collection for optimizers that evaluate the criterion
function in parallel ({ghuser}`janosg`)
- {gh}`339` Incorporates user feedback and polishes the documentation.
- {gh}`338` Improves log reading functions ({ghuser}`janosg`)
- {gh}`336` Adds pytree support to the dashboard ({ghuser}`roecla`).
- {gh}`335` Introduces an `OptimizeResult` object and functionality for history
plotting ({ghuser}`janosg`).
- {gh}`333` Uses new history collection feature to speed up benchmarking
({ghuser}`segsell`).
- {gh}`330` Is a major rewrite of the estimation code ({ghuser}`timmens`).
- {gh}`328` Improves quadratic surrogate solvers used in pounders and tranquilo
({ghuser}`segsell`).
- {gh}`326` Improves documentation of numerical derivatives ({ghuser}`timmens`).
- {gh}`325` Improves the slice_plot ({ghuser}`mpetrosian`)
- {gh}`324` Adds ability to collect optimization histories without logging
({ghuser}`janosg`).
- {gh}`311` and {gh}`288` rewrite all plotting code in plotly ({ghuser}`timmens`
and {ghuser}`aidatak97`).
- {gh}`306` improves quadratic surrogate solvers used in pounders and tranquilo
({ghuser}`segsell`).
- {gh}`305` allows pytrees during optimization and rewrites large parts of the
constraints processing ({ghuser}`janosg`).
- {gh}`303` introduces a new optimizer interface that makes it easier to add optimizers
and makes it possible to access optimizer specific information outside of the
intrenal_criterion_and_derivative ({ghuser}`janosg` and {ghuser}`roecla`).

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