Tushushu

Thanks so much for the explanations @davidhewitt I tried everything suggested in: - https://pyo3.github.io/pyo3/v0.17.0/building_and_distribution.html#macos It does not work. I found the solution is putting `default = ["extension-module"]` in `cargo.toml` file.

In this [doc](https://pyo3.github.io/pyo3/v0.17.0/faq.html#i-cant-run-cargo-test-or-i-cant-build-in-a-cargo-workspace-im-having-linker-issues-like-symbol-not-found-or-undefined-reference-to-_pyexc_systemerror), it tells us to make the extension-module feature optional and default. Run tests with `cargo test --no-default-features`. The first step is useful to my case, but I...

Hi @littlewhitecatdoge , thank you for reading the codes. The repo was implemented to make Data Science learners better understand how popular algorithms work. It's not designed for development /...

Hi there, does this issue still need a contribution, and may I work on it? @jblindsay @Mec-iS

The Random Forest feature importance is calculated by `compute_feature_importances` function and other functions in sklearn, which is implemented by Cython. ```Python cpdef compute_feature_importances(self, normalize=True): """Computes the importance of each feature...

The way to calculate feature importance can be found in this article. https://towardsdatascience.com/the-mathematics-of-decision-trees-random-forest-and-feature-importance-in-scikit-learn-and-spark-f2861df67e3

This issue can be split into 3 sub tasks. I am working on the first one, currently. See https://github.com/tushushu/smartcore/tree/wip-issue-124 - [x] Implement the feature importance for Decision Tree Classifier -...