Merge pull request #590 from JoaquinAmatRodrigo/0.11.x

0.11.x

.github/workflows/unit-tests.yml

@@ -9,7 +9,7 @@ jobs:
   build:
     strategy:
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
         platform: [ubuntu-latest, macos-latest, windows-latest]
     runs-on: ${{ matrix.platform }}
     steps:

CITATION.cff

@@ -26,5 +26,5 @@ keywords:
   - python
 doi: 10.5281/zenodo.8382788
 license: bsd-3-clause
-version: 0.10.1
-date-released: '2023-09-26'
+version: 0.11.0
+date-released: '2023-11-16'

README.md

@@ -5,7 +5,7 @@
 
 | | |
 | --- | --- |
-| Package | ![Python](https://img.shields.io/badge/python-3.8%20%7C%203.9%20%7C%203.10%20%7C%203.11-blue) [![PyPI](https://img.shields.io/pypi/v/skforecast)](https://pypi.org/project/skforecast/) [![Downloads](https://static.pepy.tech/personalized-badge/skforecast?period=total&units=international_system&left_color=grey&right_color=blue&left_text=Downloads)](https://pepy.tech/project/skforecast) [![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://github.com/JoaquinAmatRodrigo/skforecast/graphs/commit-activity) [![Project Status: Active](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active) |
+| Package | ![Python](https://img.shields.io/badge/python-3.8%20%7C%203.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-blue) [![PyPI](https://img.shields.io/pypi/v/skforecast)](https://pypi.org/project/skforecast/) [![Downloads](https://static.pepy.tech/personalized-badge/skforecast?period=total&units=international_system&left_color=grey&right_color=blue&left_text=Downloads)](https://pepy.tech/project/skforecast) [![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://github.com/JoaquinAmatRodrigo/skforecast/graphs/commit-activity) [![Project Status: Active](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active) |
 | Meta | [![License](https://img.shields.io/github/license/JoaquinAmatRodrigo/skforecast)](https://github.com/JoaquinAmatRodrigo/skforecast/blob/master/LICENSE) [![DOI](https://zenodo.org/badge/337705968.svg)](https://zenodo.org/doi/10.5281/zenodo.8382787) |
 | Testing | [![Build status](https://github.com/JoaquinAmatRodrigo/skforecast/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/JoaquinAmatRodrigo/skforecast/actions/workflows/unit-tests.yml/badge.svg) [![codecov](https://codecov.io/gh/JoaquinAmatRodrigo/skforecast/branch/master/graph/badge.svg)](https://codecov.io/gh/JoaquinAmatRodrigo/skforecast) |
 |Donation | [![paypal](https://img.shields.io/static/v1?style=social&label=Donate&message=%E2%9D%A4&logo=Paypal&color&link=%3curl%3e)](https://www.paypal.com/donate/?hosted_button_id=D2JZSWRLTZDL6) [![buymeacoffee](https://img.shields.io/badge/-Buy_me_a%C2%A0coffee-gray?logo=buy-me-a-coffee)](https://www.buymeacoffee.com/skforecast) ![GitHub Sponsors](https://img.shields.io/github/sponsors/joaquinamatrodrigo?logo=github&label=Github%20sponsors&link=https%3A%2F%2Fgithub.com%2Fsponsors%2FJoaquinAmatRodrigo)
@@ -79,28 +79,29 @@ pip install skforecast[plotting]
 
 ## Hard dependencies
 
-+ numpy>=1.20, <1.26
-+ pandas>=1.2, <2.1
-+ tqdm>=4.57.0, <4.66
++ numpy>=1.20, <1.27
++ pandas>=1.2, <2.2
++ tqdm>=4.57.0, <4.67
 + scikit-learn>=1.0, <1.4
-+ optuna>=2.10.0, <3.3
++ optuna>=2.10.0, <3.5
 + joblib>=1.1.0, <1.4
 
 ## Optional dependencies
 
-+ matplotlib>=3.3, <3.8
-+ seaborn>=0.11, <0.13
++ matplotlib>=3.3, <3.9
++ seaborn>=0.11, <0.14
 + statsmodels>=0.12, <0.15
 + pmdarima>=2.0, <2.1
 
 # What is new in skforecast 0.11?
 
 Visit the [release notes](https://github.com/JoaquinAmatRodrigo/skforecast/blob/master/changelog.md) to view all notable changes.
 
+- [x] Create `ForecasterBaseline.ForecasterEquivalentDate`, a Forecaster to create simple model that serves as a basic reference for evaluating the performance of more complex models.
 - [x] New `predict_quantiles` method in all Autoreg Forecasters to calculate the specified quantiles for each step.
 - [x] Added `skforecast.datasets` module. It contains functions to load data for our examples and user guides.
-- [ ] Added `differentiation` argument to all Autoreg Forecasters to model the n-order differentiated time series using the new skforecast preprocessor `TimeSeriesDifferentiator`.
-- [ ] Bug fixes and performance improvements.
+- [x] Enhance the management of internal copying in skforecast to minimize the number of copies, thereby accelerating data processing.
+- [x] Bug fixes and performance improvements.
 
 
 # Forecasters
@@ -218,21 +219,21 @@ If you use skforecast for a scientific publication, we would appreciate citation
 **Zenodo**
 
 ```
-Amat Rodrigo, Joaquin, & Escobar Ortiz, Javier. (2023). skforecast (v0.10.1). Zenodo. https://doi.org/10.5281/zenodo.8382788
+Amat Rodrigo, Joaquin, & Escobar Ortiz, Javier. (2023). skforecast (v0.11.0). Zenodo. https://doi.org/10.5281/zenodo.8382788
 ```
 
 **APA**:
 ```
-Amat Rodrigo, J., & Escobar Ortiz, J. (2023). skforecast (Version 0.10.1) [Computer software]. https://doi.org/10.5281/zenodo.8382788
+Amat Rodrigo, J., & Escobar Ortiz, J. (2023). skforecast (Version 0.11.0) [Computer software]. https://doi.org/10.5281/zenodo.8382788
 ```
 
 **BibTeX**:
 ```
 @software{skforecast,
 author = {Amat Rodrigo, Joaquin and Escobar Ortiz, Javier},
 title = {skforecast},
-version = {0.10.1},
-month = {9},
+version = {0.11.0},
+month = {11},
 year = {2023},
 license = {BSD-3-Clause},
 url = {https://skforecast.org/},

dev/00_template.ipynb

@@ -32,20 +32,6 @@
    "outputs": [],
    "source": []
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": null,