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I am pleased to introduce [`treemind`](https://github.com/sametcopur/treemind/), a high-performance Python library for interpreting tree-based models.

Whether you’re auditing models, debugging feature behavior, or exploring feature interactions, `treemind` provides a robust and scalable solution with meaningful visual explanations.

* **Feature Analysis** Understand how individual features influence model predictions across different split intervals.
* **Interaction Detection** Automatically detect and rank pairwise or higher-order feature interactions.
* **Model Support** Works seamlessly with LightGBM, XGBoost, CatBoost, scikit-learn, and perpetual.
* **Performance Optimized** Fast even on deep and wide ensembles via Cython-backed internals.
* **Visualizations** Includes a plotting module for interaction maps, importance heatmaps, feature influence charts, and more.

**Installation**

pip install treemind

**One-Dimensional Feature Explanation**

Each row in the table shows how the model behaves within a specific range of the selected feature.
The `value` column represents the average prediction in that interval, making it easier to identify which value ranges influence the model most.

| worst_texture_lb | worst_texture_ub | value | std | count |
|——————|——————|———–|———-|———|
| -inf | 18.460 | 3.185128 | 8.479232 | 402.24 |
| 18.460 | 19.300 | 3.160656 | 8.519873 | 402.39 |
| 19.300 | 19.415 | 3.119814 | 8.489262 | 401.85 |
| 19.415 | 20.225 | 3.101601 | 8.490439 | 402.55 |
| 20.225 | 20.360 | 2.772929 | 8.711773 | 433.16 |

**Feature Plot**

https://preview.redd.it/cbmyl38y7oef1.png?width=1189&format=png&auto=webp&s=5c7657a74bdebf5c51332ddc856f5de3d5583de9

#

**Two Dimensional Interaction Plot**

The plot shows how the model’s prediction varies across value combinations of two features. It highlights regions where their joint influence is strongest, revealing important interactions.

https://preview.redd.it/2zb1ra5h8oef1.png?width=943&format=png&auto=webp&s=6b1149795ce202f50f47f0264013eb225e09de2c

# Learn More

* Documentation: [https://treemind.readthedocs.io](https://treemind.readthedocs.io)
* Github: [https://github.com/sametcopur/treemind/](https://github.com/sametcopur/treemind/)
* Algorithm Details: [How It Works](https://treemind.readthedocs.io/en/latest/algorithm.html)
* Benchmarks: [Performance Evaluation](https://treemind.readthedocs.io/en/latest/experiments/experiment_main.html)

Feedback and contributions are welcome. If you’re working on model interpretability, we’d love to hear your thoughts.

Bitcoin’s distribution is a fascinating subject, tying together elements of technology, finance, and human behavior. While a small number of masters currently hold sway over the Bitcoin kingdom, the landscape is ever-evolving. Greater ownership distribution could eventually be part of Bitcoin’s growth story, fostering a more truly decentralized currency system.

If you’re considering stepping into the crypto world, understanding how Bitcoin’s ownership distribution affects market trends is indispensable. Whether you’re planning to hold, trade, or just explore, knowing the behind-the-scenes dynamics can provide you with a clearer picture and perhaps a profitable path forward in the intriguing realm of cryptocurrencies.

I’ve been a plus user for about two years I think and just got access to agent mode. I had been thinking about some sort of test to put it through to see its capabilities. I love playing college football 26 so I thought browsing a website to scrape pipeline information for specific schools would be a fair way to showcase a variety of skills.

It ultimately succeeded in the end, but required an additional prompt to successfully complete. It seems like it got stuck trying to access the data in much more difficult ways. I imagine this will happen a lot between websites purposefully blocking gpt or just random load issues.

Sharing the whole conversation, interested to see what people think! In short, my thoughts are that it would have been easier and more efficient to do this myself. But if this is the worse it’s ever going to be, it’s a short matter of time before it’s way more capable than this.

https://chatgpt.com/share/6881ae60-f3d4-8001-a28c-81bca668dfb9

Context: I’m not sure if you’ve read my previous post, but WhatsApp Business has been blocking my account (for 6–8 hours, then I manage to recover it) during peak work seasons. I receive around 400 messages over a period of 3 weeks to 1 month.

This is a WhatsApp account I’ve been working with for over 6 years, and I’m genuinely afraid of losing it—because if I lose it, I’d lose my entire business.

I know, it’s time to make a change and have “my own platform” so my business can be more secure.

I’ve considered two alternatives:
1. WhatsApp API, and
2. A website that functions similarly to WhatsApp Business.

Option #2 is risky. The thing is, people who want to purchase a service usually don’t want to go through any kind of registration process (even the shortest one) out of laziness. That’s just a theory I have—I haven’t tested it yet—but I’m afraid of losing clients because of it.

So I’ve decided to first try WhatsApp API, since WhatsApp is an app we all have, and it’s very practical—especially when it comes to notifications. People are always checking WhatsApp, unlike a website.

The reason I’m writing this here is the following: I do academic work. I complete assignments for people who don’t have time to do their university work (because they have to work, because their professor doesn’t explain well, or simply because they don’t feel like doing it). I know, it’s not the most ethical thing—but it ends up being really helpful for people who genuinely want to learn from the work we do.

And here’s the sensitive part: according to WhatsApp API policies, my account could be taken down, even after it’s been created (this is something I asked Geminy about).

Obviously, when registering the account and everything else, I would present it as “academic tutoring,” because if I say outright that we do other people’s assignments, I won’t be accepted. I already have a website and everything, where I present myself as an “academic tutoring” service—kind of like a front.

My biggest fear is this: starting to use WhatsApp API, building everything up over a year, and then suddenly having the account taken down. I’d lose all my progress, my clients, everything.

So here’s my question:
Is it really that risky to use the WhatsApp API for doing academic assignments?
Can they really figure out what I do in the long run?

A friend of mine is charging me around $350 to help me set up the API, documentation, etc. He’s trustworthy and says he’s helped launch over 60 API accounts. But what really tempts me to pay him is that I’ll be able to ask him for help in case any issues come up related to all the things I just mentioned—because I feel like setting up the API itself isn’t that complicated.

My biggest concern is not knowing how to handle future problems that might arise with the API.

You can try it out [here!](https://lazy-guy.github.io/chess-llama/)

It’s a 23M parameter model based on the Llama 3 architecture and plays at around 1400 Elo.

This Friday (July 25 at 2pm EST) The Doots Podcast is hosting Marco Mirabella, who has been deep in crypto since 2017 and built a Layer 2 (Cartesi). He’s also the founder of Ensuro, a blockchain-based licensed reinsurance company reimagining how individuals invest in insurance risk.

After the interview, you can hear the top ten comments from r/ethereum’s Daily General Discussion thread, handpicked by community members TrickyTroll and The A\_Word and read aloud by JT. Keep up with the debates, takes and insights directly from the community.

Not sure where to watch or listen?
You can join live on [**Discord**](https://discord.gg/evmavericks) and [**YouTube**](https://www.youtube.com/@evmavericks/streams), or catch up later on your favourite platform:

* Discord: [https://discord.gg/evmavericks](https://discord.gg/evmavericks)
* YouTube: [https://www.youtube.com/@evmavericks/streams](https://www.youtube.com/@evmavericks/streams)
* Spotify: [https://open.spotify.com/show/08KYYXtOqzZbMpiciUt42I](https://open.spotify.com/show/08KYYXtOqzZbMpiciUt42I)
* Apple: [https://podcasts.apple.com/us/podcast/ethfinance-evmavericks-weekly-doots-livestream/id1726408096](https://podcasts.apple.com/us/podcast/ethfinance-evmavericks-weekly-doots-livestream/id1726408096)
* Amazon: [https://music.amazon.com/podcasts/93b5d227-c63a-4423-a23e-e3f2fcb3994f/ethfinance-evmavericks-daily-doots-livestream](https://music.amazon.com/podcasts/93b5d227-c63a-4423-a23e-e3f2fcb3994f/ethfinance-evmavericks-daily-doots-livestream)
* Twitch: [https://www.twitch.tv/evmavericks](https://www.twitch.tv/evmavericks)
* iHeart: [https://www.iheart.com/podcast/263-ethfinance-evmavericks-dai-143878494/](https://www.iheart.com/podcast/263-ethfinance-evmavericks-dai-143878494/)
* Libsyn: [https://evmavericks.libsyn.com/](https://evmavericks.libsyn.com/)
* Pods: [https://pods.media/evmavericks](https://pods.media/evmavericks)

See the full schedule and all of the Doots Podcast platforms at [https://dailydoots.com/podcast/](https://dailydoots.com/podcast/)

Whether you want to dig deeper into Ethereum, meet the people building on it or just catch up on the best Reddit moments of the week, The Doots Podcast offers the easiest and friendliest way in.