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Update changelog. (#300)
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janosg authored Apr 8, 2022
1 parent 7484225 commit 17ea3b2
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4 changes: 2 additions & 2 deletions .pre-commit-config.yaml
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Expand Up @@ -47,7 +47,7 @@ repos:
additional_dependencies: [black==21.12b0]
types: [rst]
- repo: https://github.com/psf/black
rev: 22.1.0
rev: 22.3.0
hooks:
- id: black
types: [python]
Expand Down Expand Up @@ -75,7 +75,7 @@ repos:
rev: 1.3.1
hooks:
- id: nbqa-black
additional_dependencies: [black==20.8b1]
additional_dependencies: [black]
- id: nbqa-pyupgrade
additional_dependencies: [pyupgrade==2.7.3]
exclude: 'inference|differentiation|miscellaneous'
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15 changes: 15 additions & 0 deletions CHANGES.rst
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Expand Up @@ -6,6 +6,21 @@ chronological order. We follow `semantic versioning <https://semver.org/>`_ and
releases are available on `Anaconda.org
<https://anaconda.org/OpenSourceEconomics/estimagic>`_.

0.2.3
-----

- :gh:`295` Fixes a small bug in estimation_table (:ghuser:`mpetrosian`).
- :gh:`286` Adds pytree support for first and second derivative (:ghuser:`timmens`).
- :gh:`285` Allows to use estimation functions with external optimization
(:ghuser:`janosg`).
- :gh:`283` Adds fast solvers for quadratic trustregion subproblems (:ghuser:`segsell`).
- :gh:`282` Vastly improves estimation tables (:ghuser:`mpetrosian`).
- :gh:`281` Adds some tools to work with pytrees (:ghuser:`janosg`
and :ghuser:`timmens`).
- :gh:`278` adds Estimagic Enhancement Proposal 1 for the use of Pytrees in Estimagic
(:ghuser:`janosg`)


0.2.2
-----

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4 changes: 2 additions & 2 deletions docs/source/getting_started/why_optimization_is_hard.ipynb
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Expand Up @@ -91,7 +91,7 @@
],
"source": [
"dimensions = np.arange(10) + 1\n",
"n_evals = 100 ** dimensions\n",
"n_evals = 100**dimensions\n",
"sns.lineplot(dimensions, n_evals)"
]
},
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"grid = np.linspace(-1, 1, 1000)\n",
"sns.lineplot(\n",
" x=grid,\n",
" y=(grid ** 2) + np.random.normal(scale=0.01, size=len(grid)),\n",
" y=(grid**2) + np.random.normal(scale=0.01, size=len(grid)),\n",
")"
]
},
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Expand Up @@ -40,7 +40,7 @@
"outputs": [],
"source": [
"def f(x):\n",
" return x ** 2"
" return x**2"
]
},
{
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"outputs": [],
"source": [
"def f1(x):\n",
" return np.sum(x ** 2)\n",
" return np.sum(x**2)\n",
"\n",
"\n",
"def f2(x, M):\n",
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