James Lamb comments

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                                            James Lamb

[pre-commit.ci] pre-commit autoupdate

/merge

[pre-commit.ci] pre-commit autoupdate

/ok to test

[pre-commit.ci] pre-commit autoupdate

/ok to test 013dbb41a3c0704d345a0dcfa9e2eabcf0687c6f

[CUDA] Potential missed inversion of discounts within CUDA implementation of LambdarankNDCG

@shiyu1994 or @metpavel can you please investigate this one?

[swig] fix memory leak in swig interface

/AzurePipelines run

[R-package] cannot uses slices of the same Dataset as training and validation datasets

Thanks for using LightGBM and for the clear writeup with a reproducible example! I've edited the text a bit to make it clearer which parts are your own words, logs...

[R-package] cannot uses slices of the same Dataset as training and validation datasets

I ran this code on `{lightgbm}` v3.3.5 and v4.0.0 (built from source here, since that isn't on CRAN yet), and got the same error both times. Providing a bit more...

[R-package] cannot uses slices of the same Dataset as training and validation datasets

Commenting for anyone subscribed to this issue... I think the root cause of this might be that `lgb.Dataset` objects are `{R6}` classes, and `identical()` used to compare 2 such objects...

Using Python trained LightGBM model to predict on Spark DataFrame (in Databricks)

Thanks for using LightGBM. We don't ship a direct `pyspark` integration in the `lightgbm` Python package, the way that `xgboost` does with `xgboost.pyspark` ([xgboost PySpark docs](https://xgboost.readthedocs.io/en/latest/tutorials/spark_estimator.html)), and don't have any...

Using Python trained LightGBM model to predict on Spark DataFrame (in Databricks)

> _lightgbm on SynapseML is not maintained anymore_ I don't know what you're basing this claim on, but it doesn't seem right to me. The most recent release was just...