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Bumps [numpy](https://github.com/numpy/numpy) from 1.15.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependabot[bot]

Bumps [numpy](https://github.com/numpy/numpy) from 1.12.1 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependabot[bot]

I try to calibrate my `CatBoostClassifier` model using `sklearn` `CalibratedClassifierCV` . It is running well when fitting but failed when using calibrated model to predict. I already try to use...

zonnalobo

Hi guys, does anyone knows why at /quality_benchmarks/experiments.py cannot trace this parameter? `TypeError: fmin() got an unexpected keyword argument 'rseed'`

iyliamjd

'data' is numpy array of floating point numerical type, it means no categorical features, but 'cat_features' parameter specifies nonzero number of categorical features

1

Hi everyone, it's me again. I have run this code. I get error code below: ` pool = Pool(data, label, cat_features=cat_cols)` the error : `'data' is numpy array of floating...

iyliamjd

Hello, very interesting, very useful. Just went through the paper, would it be possible to add memory consumption and training times? Thank you. T.

tobigithub

Please update values from old versions to updated versions https://github.com/catboost/benchmarks/tree/master/training_speed

celestinoxp

I want to run benchmark (e.g. `gpu_vs_cpu_training_speed/run_experiment_catboost.py`) on my device. What command line arguments should I use?

PiN73

Hi, I just find there is an issue in the following function ``` def ndcg(y_pred, y_true, top): assert y_pred.shape[0] == y_true.shape[0] top = min(top, y_pred.shape[0]) first_k_docs = sorted(zip(y_true, y_pred), key=cmp_to_key(doc_comparator))...

rguo12

amahaj02