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model2.predict(X_test) get IndexError on Python 3.8.8 64-bit, and Python 3.9.7, like this: Traceback (most recent call last): File "E:\py\catboost\tutorials\custom_loss\custom_loss_and_metric_tutorial.py", line 187, in model2.predict(X_test,thread_count=1,prediction_type='Class') File "C:\ProgramData\Anaconda3\lib\site-packages\catboost\core.py", line 4772, in predict return...

traderlife8

It's better to use [zero conditional](https://www.perfect-english-grammar.com/zero-conditional.html) here because it is strict law, the result is inevitable. Anyway, you can't use _will_ in _if_-clause.

michurin

There was an example with outdated names of parameters.

goo-goo-goo-joob

There was a tiny mistake in extraction of `best_value` of the logloss in cell 34 of `python_tutorial_with_tasks.ipynb`.

mdnrz

Bumps [shlex](https://github.com/comex/rust-shlex) from 1.1.0 to 1.3.0. Changelog Sourced from shlex's changelog. 1.3.0 Full fix for the high-severity security vulnerability RUSTSEC-2024-0006 a.k.a. GHSA-r7qv-8r2h-pg27: Deprecates quote APIs in favor of try_ equivalents...

dependabot[bot]

Clang and dlang applier tutorials

1

Add a tutorial how to apply model from C and D code. Tested locally on dynamic libraries (built from sources) on macOS, but the same principle should be applicable to...

cyrusmsk

Ch0p1k3

Bump catboost-prediction version to 1.1

1

Bump `catboost-prediction` version to 1.1 in Java example, add small cosmetic fixes. I'd love to talk about proposed shape of Java docs — maybe we could improve them much more?

lukbaran

* fix the invalid json format #20 * can check the `sanitize_widgets.py` for details (also can remove if no longer needed) * also keep the output results

dexhunter

Categorical features parameters ipynb - Invalid notebook error

1

FeFortti