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# Changelog | ||
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## Unreleased | ||
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### Breaking changes | ||
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* Renamed `stats_utils` module to `profiler` | ||
* Data must now be provided to kernels on creation, unbound kernels are | ||
no longer allowed | ||
* `Parameter`s are no longer subclasses of `float`, use `.value` to get | ||
their stored value | ||
* `ConditioningMethod`s were removed, their uses can be replaced with | ||
_score functions_ | ||
* The `biv` parameter to the `Profiler` was removed, confidence | ||
intervals are univariate only | ||
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### Removed | ||
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Many distributions and utilities which were created with a specific use | ||
case in mind and aren't generally useful have been removed: | ||
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* `MixtureExponentialModel`, | ||
* `ExtendedGPD`, | ||
* `PointProcess`, | ||
* `CompositionDistribution`, | ||
* `DetrendedFluctuationAnalysis`, | ||
* `pettitt_test`, | ||
* `threshold_selection_GoF` and `threshold_selection_gpd_NorthorpColeman`, | ||
* extreme values visualisation routines, | ||
* process samplers (Poisson and Hawkes). | ||
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### New features | ||
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* Metrics: `{pp,qq}_l{1,2}_distance`, `likelihood`, `expo_ratio` | ||
* Log-normal distribution | ||
* Plotting functions now accept an `ax` argument to use instead of the | ||
global `plt` figure | ||
* Constant kernel (most useful for testing) | ||
* `Kernel`s have a `with_covariate` method that returns a new kernel | ||
with the provided data as covariate, but all parameters are kept the | ||
same | ||
* The `random_state` parameter to the `Distribution.rvs` method is now | ||
explicit and no longer hidden in the `**kwargs` | ||
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### Bug fixes | ||
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* Fixed `fit_instance` for nested kernels with fixed values | ||
* Fixed the `TruncatedDistribution` which forgot its bounds after fitting | ||
* A parameter which shows up in several places in a distribution will | ||
keep the same value when fitting instead of returning independent | ||
parameters | ||
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### Other | ||
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* Add section to README on fitting other score functions than the likelihood | ||
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## 0.3.2 - 2021-03-26 | ||
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Various bug fixes due to new names in version 0.3.0 | ||
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## 0.3.1 - 2021-03-26 | ||
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### New features | ||
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* New trigonometric kernel | ||
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## 0.3.0 - 2021-03-23 | ||
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This release aims at making fitting even more generic by replacing | ||
penalized likelihoods with score functions | ||
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### Breaking changes | ||
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* Remove `log_likelihood` and `opposite_log_likelihood` methods from | ||
`Distribution`s | ||
* Remove `penalty` argument from `fit` | ||
* `ConditioningMethod`s take `distribution` as the first argument and | ||
`data` as the second | ||
* Rename `Likelihood` class to `Profiler` | ||
* Rename `mle` attribute to `optimum` in `Profiler` class | ||
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### New features | ||
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* `fit*` methods minimize a `score` function which takes a distribution | ||
and data as arguments. By default, they maximize the log likelihood. | ||
* New `metrics` module which contains scoring functions | ||
* The `Profiler` has a `score_function` argument | ||
* Add `threshold_selection` based on a multiple threshold penultimate model | ||
* New QQ-plot visualization methods | ||
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### Bug fixes | ||
* `Distribution.rvs` now passes all parameters to `scipy`'s `rvs` methods. | ||
In particular, `random_state` is now propagated. | ||
* `TruncatedDistribution` now ignores data outside its range | ||
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### Other | ||
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* Improve overall typing of the library | ||
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## 0.2.1 - 2021-02-21 | ||
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### New features | ||
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* Add `TruncatedDistribution` | ||
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### Bug fixes | ||
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* Avoid replacing non-constant parameters with `ConstantParameter`s | ||
inside `ParametrizedFunction`s | ||
* Fix nested kernel fitting | ||
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## 0.2.0 - 2021-02-09 | ||
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This release aims at making the fitting feature more generic by allowing | ||
other forms of likelihood conditioning and other metrics than the return | ||
level in the confidence interval computation. | ||
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### Breaking changes | ||
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* Remove `simulations` and `stopping_times` modules | ||
* Removed `Likelihood.return_level` | ||
* Move `visualisation_utils` to their own subpackage | ||
* Rename `conditioning_method` argument to `penalty` | ||
* Rename `profile_likelihood` method to `fit_instance` | ||
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### New features | ||
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* New method `Likelihood.confidence_interval` with the `metric` argument | ||
to control which value to estimate | ||
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### Other | ||
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* Add section to README.rst about parameter profiling | ||
* Add pre-commit hooks | ||
* Fix README.rst directives | ||
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## 0.1.0 - 2021-02-04 | ||
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Initial release | ||
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