candalfigomoro
candalfigomoro
With xgboost you can build (a sort of) Random Forest by setting `num_parallel_tree`>1 and `nrounds`=1 In LightGBM we can build (a sort of) Random Forest by setting `boosting`='rf' Since the...
The alibi-detect package requires a lot of very heavy dependencies (opencv, tensorflow). It could be that I only need the `TabularDrift` class and I don't need opencv/tensorflow/pytorch for that. Would...
In addition to the pypi package, please add a conda-forge package (https://conda-forge.org). You can easily create a boilerplate conda recipe with grayskull (starting from the pypi package): https://github.com/conda-incubator/grayskull
When using UMAP (without pynndescent) in a Spark-based environment, it works fine. Instead, when using UMAP with pynndescent, I get the following error: ``` _pickle.PicklingError: Failed in nopython mode pipeline...
In addition to the pypi package, please add a conda-forge package (https://conda-forge.org). I can give support if needed. You can easily create a boilerplate conda recipe with grayskull (starting from...
In https://bering-ivis.readthedocs.io/en/latest/oom_datasets.html, for out-of-memory datasets, you say to train on h5 files that exist on disk. In my case, I can't use h5 files, but I could use a custom...
It would be nice to add a FastTreeSHAP package to conda-forge https://conda-forge.org/ (in addition to pypi) You can use grayskull https://github.com/conda-incubator/grayskull to generate a boilerplate for the conda recipe.
First of all, thank you for your work. Would it be possible to upload your package (JAR) to the Maven Central Repository (see https://maven.apache.org/repository/guide-central-repository-upload.html)?
In addition to the pypi package, please add a conda-forge package (https://conda-forge.org). You can easily create a boilerplate conda recipe with grayskull (starting from the pypi package): https://github.com/conda-incubator/grayskull
Problem: The same code, with the same data and the same Spark config, fails 80% of the time, but succeeds 20% of the time. ``` trainPool = catboost_spark.Pool(train) validationPool =...