kitsune
scikit-learn
kitsune | scikit-learn | |
---|---|---|
33 | 82 | |
1,259 | 58,200 | |
0.6% | 0.6% | |
9.8 | 9.9 | |
3 days ago | 2 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kitsune
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Firefox has data loss problem and management problem too.
They don't consider people opening 80 tabs and having 90K bookmarks. - "If you open more then 20 tabs then something is wrong in your browsing using methods" ~ Every bugzilla.mozilla.org dev / support.mozilla.org support
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r/firefox has been made private
r/firefox is a private community. r/firefox. This community has shut down and will not grant access requests during the protest. Please do not message asking to be added. . We have gone private as part of the coordinated protest against Reddit's exorbitant new API changes, and unprofessional response to the community's concerns regarding 3rd party apps, mod tools, and accessibility that will be impacted by this decision. . More information: . https://redd.it/147cksa/. . For support, see . https://support.mozilla.org. . The moderators of r/firefox have set this community to private. Only approved members can view and take part in its discussions.
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Ported Win10 to Win11 and email times shifted from CST to PST
I followed the directions on support.mozilla.org for moving TB to new computer. This consisted of copying appdata/roaming/Thunderbird from the old machine (which ran TB flawlessly), installing Tb on the new machine, closing TB, deleting appdata/roaming/Thunderbird, and the copying over the the Thunderbird folder.
- The add-on is disabled on this site.
- Where does one go to ask for a feature request?
- Mozila account sign-up makes me wanna k@#l people
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Crash report interpretation
I'd like to know if I can get crash reports explained here. I reported multiple crashes at support.mozilla.org , was told to supply the necessary information there, along with several other people, but there was no response after that.
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Making Firefox follow DPI settings in Windows?
Perhaps you can find more help over at Mozilla Support, or maybe report a bug at Bugzilla.
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Can anyone help me?
It looks like your system fonts are just messed up. Could you please check other websites completely unrelated to Epic Games that also use the Inter Regular font (https://support.mozilla.org, for example) to see if they look broken too?
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No dailymotion, rumble video playback in Firefox 102.5.0esr (64-bit) Windows
There are tons of people on support.mozilla.org likewise complaining they cannot get Firfox to play videos on various websites. Now it makes sense why Firefox accounts for a whopping 3% share of web browsers used.
scikit-learn
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How to Build a Logistic Regression Model: A Spam-filter Tutorial
Online Courses: Coursera: "Machine Learning" by Andrew Ng edX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By understanding the core concepts of logistic regression, its limitations, and exploring further resources, you'll be well-equipped to navigate the exciting world of machine learning!
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AutoCodeRover resolves 22% of real-world GitHub in SWE-bench lite
Thank you for your interest. There are some interesting examples in the SWE-bench-lite benchmark which are resolved by AutoCodeRover:
- From sympy: https://github.com/sympy/sympy/issues/13643. AutoCodeRover's patch for it: https://github.com/nus-apr/auto-code-rover/blob/main/results...
- Another one from scikit-learn: https://github.com/scikit-learn/scikit-learn/issues/13070. AutoCodeRover's patch (https://github.com/nus-apr/auto-code-rover/blob/main/results...) modified a few lines below (compared to the developer patch) and wrote a different comment.
There are more examples in the results directory (https://github.com/nus-apr/auto-code-rover/tree/main/results).
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Polars
sklearn is adding support through the dataframe interchange protocol (https://github.com/scikit-learn/scikit-learn/issues/25896). scipy, as far as I know, doesn't explicitly support dataframes (it just happens to work when you wrap a Series in `np.array` or `np.asarray`). I don't know about PyTorch but in general you can convert to numpy.
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[D] Major bug in Scikit-Learn's implementation of F-1 score
Wow, from the upvotes on this comment, it really seems like a lot of people think that this is the correct behavior! I have to say I disagree, but if that's what you think, don't just sit there upvoting comments on Reddit; instead go to this PR and tell the Scikit-Learn maintainers not to "fix" this "bug", which they are currently planning to do!
- Contraction Clustering (RASTER): A fast clustering algorithm
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Ask HN: Learning new coding patterns – how to start?
I was in a similar boat to yours - Worked in data science and since then have made a move to data engineering and software engineering for ML services.
I would recommend you look into the Design Patterns book by the Gang of Four. I found it particularly helpful to make extensible code that doesn't break specially with abstract classes, builders and factories. I would also recommend looking into the book The Object Oriented Thought Process to understand why traditional OOP is build the way it is.
You can also look into the source code of popular data science libraries such as sklearn (https://github.com/scikit-learn/scikit-learn/tree/main/sklea...) and see how a lot of them have Base classes to define shared functionality between object of the same nature.
As others mentioned, I would also encourage you to try and implement design patterns in your everyday work - maybe you can make a Factory to load models or preprocessors that follow the same Abstract class?
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Transformers as Support Vector Machines
It looks like you've been the victim of some misinformation. As Dr_Birdbrain said, an SVM is a convex problem with unique global optimum. sklearn.SVC relies on libsvm which initializes the weights to 0 [0]. The random state is only used to shuffle the data to make probability estimates with Platt scaling [1]. Of the random_state parameter, the sklearn documentation for SVC [2] says
Controls the pseudo random number generation for shuffling the data for probability estimates. Ignored when probability is False. Pass an int for reproducible output across multiple function calls. See Glossary.
[0] https://github.com/scikit-learn/scikit-learn/blob/2a2772a87b...
[1] https://en.wikipedia.org/wiki/Platt_scaling
[2] https://scikit-learn.org/stable/modules/generated/sklearn.sv...
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How to Build and Deploy a Machine Learning model using Docker
Scikit-learn Documentation
- Planning to get a laptop for ML/DL, is this good enough at the price point or are there better options at/below this price point?
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Link Prediction With node2vec in Physics Collaboration Network
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy.
What are some alternatives?
firedragon-browser - A Floorp fork with custom branding 🐉 (mirrored from GitLab)
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
tridactyl - A Vim-like interface for Firefox, inspired by Vimperator/Pentadactyl.
Surprise - A Python scikit for building and analyzing recommender systems
dnxfirewall - DNXFIREWALL™ and DAD'S NEXT-GEN FIREWALL™, a C/CPython hybrid next generation firewall built on top of Linux and bound to kernel/ netfilter hooks for packet control.
Keras - Deep Learning for humans
awesome-python-applications - 💿 Free software that works great, and also happens to be open-source Python.
tensorflow - An Open Source Machine Learning Framework for Everyone
Fenix - ⚠️ Fenix (Firefox for Android) moved to a new repository. It is now developed and maintained as part of: https://github.com/mozilla-mobile/firefox-android
gensim - Topic Modelling for Humans
positron - a experimental, Electron-compatible runtime on top of Gecko
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.