Mailman 3 January 2021 - scikit-learn

[ANN] scikit-learn 0.24.0rc1 is online!
by Olivier Grisel Jan. 19, 2024

Jan. 19, 2024

Please help us test the first release candidate for scikit-learn 0.24.0: pip install scikit-learn==0.24.0rc1 Changelog: https://scikit-learn.org/0.24/whats_new/v0.24.html In particular, if you maintain a project with a dependency on scikit-learn, please let us know about any regression. Feel free to also retweet the announcement to get more people to test it before the final release (probably in 1 week or 2): https://twitter.com/scikit_learn/status/1334562221498753026 Thanks to anybody who helped make this happen! -- Olivier

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Question RE: skLearn Logistic Regression
by The Helmbolds March 6, 2021

March 6, 2021

I have a case with binary results and 1-D features, like: X = np.array(-3,-2,-1,0,1,2,3,) and y = np.array(0, 0, 0, 1, 1, 1, 1) only longer arrays (about 180 entries in each array) of this general type. So this should be the "simplest" case. Altho I've tried several variations of the Logistic input formats, in LogisticRegression.fit(X, y) they keep being rejected with the most common error message being Missing argument y I assure you I do indeed have an array "y" that is passed to "fit" So----What do I have to do to get Logistic Regression to accept 1-D features?

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LassoCV.coef not implemented (I think)
by Robert Slater Jan. 31, 2021

Jan. 31, 2021

I was writing an example for my students when I came across what I think is an issue. In version 24.1 using the LassoCV, the <object>.coef variable should have a list of my coeficeients (at least according to my understanding of the documents). However, the variable is not populated nad throws an error 'LassoCV' object has no attribute 'coef' I do have a .coef_ variable which I believe is the coefficient for the best fit only. the alphas and alphas_ variables have a similar issue in that alphas returns nothing while alphas_ returns the list of alphas used. I'm not sure if this is an documentation oversight or a real issue but wanted to get clarification. I can get what I need from o ther methods, but wanted to see if this needed to be addressed. Best Regards, Robert Slater

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Finding the PC that captures a specific variable
by Mahmood Naderan Jan. 24, 2021

Jan. 24, 2021

Hi I have a question about PCA and that is, how we can determine, a variable, X, is better captured by which factor (principal component)? For example, maybe one variable has low weight in the first PC but has a higher weight in the fifth PC. When I use the PCA from Scikit, I have to manually work with the PCs, therefore, I may miss the point that although a variable is weak in PC1-PC2 plot, it may be strong in PC4-PC5 plot. Any comment on that? Regards, Mahmood

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scikit-learn 0.24 installation fails with ModuleNotFoundError: No module named 'scipy'
by Bertrand B. Jan. 23, 2021

Jan. 23, 2021

To whom it may concern, I am trying to install scikit-learn in a PySpark job using the install_pypi_package PySpark API but the install fails with : sc.install_pypi_package("scikit-learn") Collecting scikit-learn Using cached https://files.pythonhosted.org/packages/db/e2/9c0bde5f81394b627f62355769053… Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib64/python3.7/site-packages (from scikit-learn) Collecting scipy>=0.19.1 (from scikit-learn) Using cached https://files.pythonhosted.org/packages/58/9d/8296d8211318d690119eba6d293b7… Requirement already satisfied: joblib>=0.11 in /usr/local/lib64/python3.7/site-packages (from scikit-learn) Collecting threadpoolctl>=2.0.0 (from scikit-learn) Using cached https://files.pythonhosted.org/packages/f7/12/ec3f2e203afa394a149911729357a… Building wheels for collected packages: scikit-learn Running setup.py bdist_wheel for scikit-learn: started Running setup.py bdist_wheel for scikit-learn: finished with status 'error' Complete output from command /tmp/1611000009300-0/bin/python -u -c "import setuptools, tokenize;__file__='/mnt/tmp/pip-build-phc6p6gl/scikit-learn/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" bdist_wheel -d /tmp/tmpry3gf9r0pip-wheel- --python-tag cp37: Partial import of sklearn during the build process. Traceback (most recent call last): File "/mnt/tmp/pip-build-phc6p6gl/scikit-learn/setup.py", line 201, in check_package_status module = importlib.import_module(package) File "/tmp/1611000009300-0/lib64/python3.7/importlib/__init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "<frozen importlib._bootstrap>", line 1006, in _gcd_import File "<frozen importlib._bootstrap>", line 983, in _find_and_load File "<frozen importlib._bootstrap>", line 965, in _find_and_load_unlocked ModuleNotFoundError: No module named 'scipy' Traceback (most recent call last): File "<string>", line 1, in <module> File "/mnt/tmp/pip-build-phc6p6gl/scikit-learn/setup.py", line 306, in <module> setup_package() File "/mnt/tmp/pip-build-phc6p6gl/scikit-learn/setup.py", line 294, in setup_package check_package_status('scipy', min_deps.SCIPY_MIN_VERSION) File "/mnt/tmp/pip-build-phc6p6gl/scikit-learn/setup.py", line 227, in check_package_status .format(package, req_str, instructions)) ImportError: scipy is not installed. scikit-learn requires scipy >= 0.19.1. I do not encounter this error with scikit-learn 0.23.2 : sc.install_pypi_package("scikit-learn==0.23.2") Collecting scikit-learn==0.23.2 Using cached https://files.pythonhosted.org/packages/f4/cb/64623369f348e9bfb29ff898a57ac… Requirement already satisfied: scipy>=0.19.1 in /mnt/tmp/1611000009300-0/lib/python3.7/site-packages (from scikit-learn==0.23.2) Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib64/python3.7/site-packages (from scikit-learn==0.23.2) Requirement already satisfied: joblib>=0.11 in /usr/local/lib64/python3.7/site-packages (from scikit-learn==0.23.2) Requirement already satisfied: threadpoolctl>=2.0.0 in /mnt/tmp/1611000009300-0/lib/python3.7/site-packages (from scikit-learn==0.23.2) Installing collected packages: scikit-learn Successfully installed scikit-learn-0.23.2 Could you please help me understand why the scikit-learn 0.24 installation fails ? Thank you for your help, Bertrand

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Monthly meeting January 25th 2021
by Chiara Marmo Jan. 21, 2021

Jan. 21, 2021

Dear list, The scikit-learn monthly meeting will take place on Monday January 25th at 8PM UTC: <https://www.timeanddate.com/worldclock/meetingdetails.html?year=2021&month=…> https://www.timeanddate.com/worldclock/meetingdetails.html?year=2021&month=… <https://www.google.com/url?q=https://www.timeanddate.com/worldclock/meeting…> While these meetings are mainly for core-devs to discuss the current topics, we are also happy to welcome non-core devs and other project maintainers. Feel free to join, using the following link: https://meet.google.com/xhq-yoga-rtf If you plan to attend and you would like to discuss something specific about your contribution please add your name (or github pseudo) in the " Contributors <https://hackmd.io/qVZD8baKRce3uYpto11z0w#Contributors>" section, of the public pad: <https://hackmd.io/qtKt7pTNSXanU-MJOIMxbw> https://hackmd.io/qVZD8baKRce3uYpto11z0w Best Chiara

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[ANN] scikit-learn 0.24.1 is online!
by Guillaume Lemaître Jan. 19, 2021

Jan. 19, 2021

scikit-learn 0.24.1 is out on pypi.org and conda-forge! This is a small maintenance release that fixes the macOS wheels and small bugs in SelfTrainingClassifier and adjusted_mutual_info_score: https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-1 You can upgrade with pip as usual: pip install -U scikit-learn The conda-forge builds will be available shortly, which you can then install using: conda install -c conda-forge scikit-learn Thanks again to all the contributors! On behalf of the scikit-learn maintainer team. -- Guillaume Lemaitre Scikit-learn @ Inria Foundation https://glemaitre.github.io/

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Renaming the default branch to `main`
by Adrin Jan. 16, 2021

Jan. 16, 2021

GitHub now supports renaming <https://github.com/github/renaming> the default branch with this done automatically: Renaming a branch will: - Re-target any open pull requests - Update any draft releases based on the branch - Move any branch protection rules that explicitly reference the old name - Update the branch used to build GitHub Pages, if applicable - Show a notice to repository contributors, maintainers, and admins on the repository homepage with instructions to update local copies of the repository - Show a notice to contributors who git push to the old branch - Redirect web requests for the old branch name to the new branch name - Return a "Moved Permanently" response in API requests for the old branch name We have talked in this issue <https://github.com/scikit-learn/scikit-learn/issues/17595> about renaming the branch, but since this is a major change, hence this email to engage and inform the broader community. Cheers, Adrin

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An alternative project to scikit-learn for support vector machine learning tools ?
by Jean-Marc MERCIER Jan. 16, 2021

Jan. 16, 2021

Hello, and congratulations for the very nice work done at scikit-learn <https://scikit-learn.org/stable/> ! I would like to point out an alternative initiative to SVM tools for machine learning than scikit-learn. We are trying to kick-off <https://www.linkedin.com/pulse/codpy-tutorial-mercier-jean-marc/> it, see for instance this link here <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3766451>. Indeed, as practitioners from the private research sector, we felt the need to craft an alternative approach to SVM learning tools some years ago. We are using this approach today for industrial applications, it revealed itself quite solid and robust. I thought that this initiative might interest the scikit-learn community. Above curiosity, there might be some interests to discuss together : might our ideas be interesting for your community ? Can they be merged together ? So I would like to identify the correct persons at scikit-learn to discuss these matters. Could someone help me there to identify who is in charge of this project to enter a dialog with him ? -- *Jean-Marc Mercier* Senior Research Advisor 136 boulevard Haussmann 75008 Paris Tel +33 1 53 05 98 52 GSM +33 6 77 64 06 85 www.mpg-partners.com

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[ANN] The covid-ht project
by Matemática A3K Jan. 16, 2021

Jan. 16, 2021

>From https://covid-ht.herokuapp.com/about: According to Dr. Eugenia Barrientos[1], an ongoing viral infection can be detected from the results of an hemogram test, and, given the current COVID19 pandemic, all viral infections with cold and flu symptoms should be treated as COVID19 cases. The inference from the hemogram test results is done based on the knowledge and experience of the Health Professional. If that process could be automatized and widely available, the detection toolkit of Health Professionals will be improved. In many places (i.e. Perú) where specific COVID19 testing is not widely available - saturated hospitals, not affordable or unavailable - hemogram blood testing is in the opposite: affordable and in widely distributed facilities. If a viral infection classifier with an adequate accuracy through hemograms can be built and made publicly available, all Health Professionals with a smart-phone and Internet access could classify any hemogram with the same accuracy as top-level experts on the matter. Early detection is deemed to be the greatest success factor in COVID19 treatments. This project aims to provide a tool to efficiently build and manage that classifier and make it effectively available for widespread use in order to improve detection and increase the use efficiency of specific testing of COVID19. This tool is totally transparent: you may audit it entirely to fully understand how it works, what it provides and its limitations. It is distributed under the GNU LGPLv3 license. Improvements in early detection should increase successful treatments, potentially saving lives. Better resource efficiency can also be achieved with the tool, i.e. only use expensive specific COVID19 testing for recovery after the hemogram does not indicate infection. The tool is not a replacement of Health Professionals. Any diagnostic and treatment should be decided by a Health Professional with the patient. If you are an individual with a recent hemogram result, the tool may indicate to take preemptive care and seek a Health Professional. Also, don't blame the knife providers: This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Everybody is welcome to join the community for building it and use it: covid-ht+subscribe(a)googlegroups.com and https://github.com/math-a3k/covid-ht . Made with love for all humans of the world. [1] https://youtu.be/ZO6EaAz465Y?t=570

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