microsoft / LightGBM

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[R-package] confusing error when using lgb.train() with an unknown metric

2

jameslamb commented Oct 25, 2020

How you are using LightGBM?

LightGBM component: R package

Environment info

Operating System: macOS 10.14

C++ compiler version: gcc 8.1.0

CMake version: 3.17.3

R version: 4.0.2

LightGBM version or commit hash: https://github.com/microsoft/LightGBM/tree/c07644d1d71540204a9b56f26667e8180bd009e2

Reproducible example(s)

Thanks to @Laurae2 for sharing this with m

good first issue question r-package

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[R-package] use keyword arguments for all internal function calls

11

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[python] suppress the warning about categorical feature override

3

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slundberg / shap

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A game theoretic approach to explain the output of any machine learning model.

machine-learning deep-learning gradient-boosting interpretability shapley shap explainability

Updated Nov 29, 2020
Jupyter Notebook

ddbourgin / numpy-ml

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Machine learning, in numpy

machine-learning reinforcement-learning word2vec lstm neural-networks gaussian-mixture-models vae topic-modeling attention resnet bayesian-inference wavenet mfcc knn gaussian-processes hidden-markov-models gradient-boosting wgan-gp good-turing-smoothing

Updated Oct 2, 2020
Python

EpistasisLab / tpot

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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

python data-science machine-learning automation random-forest scikit-learn model-selection xgboost hyperparameter-optimization feature-engineering automl gradient-boosting automated-machine-learning parameter-tuning

Updated Nov 23, 2020
Python

catboost / catboost

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Custom c++ metric Run Problem

gavrenkov commented Jun 17, 2020

Problem:
catboost version: 0.23.2
Operating System: all
Tutorial: https://github.com/catboost/tutorials/blob/master/custom_loss/custom_metric_tutorial.md

Impossible to use custom metric (С++).

Code example

from catboost import CatBoost
train_data = [[1, 4, 5, 6],

bug good first issue

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Suggestion for Catboost Tutorial

8

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Implement ColumnDescriptionClass

1

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interpretml / interpret

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Interpret

4

wh3nd1g0h commented Jul 29, 2020

Yes

good first issue

ClimbsRocks / auto_ml

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[UNMAINTAINED] Automated machine learning for analytics & production

python data-science machine-learning deep-learning analytics tensorflow scikit-learn keras artificial-intelligence xgboost hyperparameter-optimization lightgbm machine-learning-library deeplearning production-ready feature-engineering machine-learning-pipelines automl gradient-boosting automated-machine-learning

Updated May 19, 2020
Python

benedekrozemberczki / awesome-decision-tree-papers

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A collection of research papers on decision, classification and regression trees with implementations.

classifier machine-learning random-forest statistical-learning xgboost lightgbm gradient-boosting-machine ensemble-learning cart decision-tree tree-ensemble decision-tree-classifier gradient-boosting classification-trees decision-tree-learning decision-tree-model classification-model catboost regression-tree machine-learning-research

Updated Oct 29, 2020
Python

stanfordmlgroup / ngboost

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Add Laplace to tests

ryan-wolbeck commented Nov 7, 2020

Laplace was added to the repo but I think we should add it as well to tests/test_distns.py

enhancement good first issue

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Probelms with the output for regression with LogNormal

6

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ngboost.readthedocs.io

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benedekrozemberczki / awesome-fraud-detection-papers

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A curated list of data mining papers about fraud detection.

classifier data-science data-mining deep-learning random-forest credit-card-fraud classification fraud-management logistic-regression fraud-prevention credit-scoring churn link-prediction fraud-detection gradient-boosting fraud-checker graph-classification credit-card-validation credit-card-fraud-detection fraud-explorer

Updated Oct 29, 2020
Python

benedekrozemberczki / awesome-gradient-boosting-papers

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A curated list of gradient boosting research papers with implementations.

classifier machine-learning deep-learning random-forest h2o xgboost lightgbm gradient-boosting-machine adaboost decision-tree gradient-boosting-classifier classification-algorithm gradient-boosting boosting classification-trees xgboost-algorithm catboost gradient-boosted-trees classification-tree gradient-boosting-decision-trees

Updated Oct 11, 2020
Python

zygmuntz / hyperband

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Tuning hyperparams fast with Hyperband

machine-learning hyperparameters hyperparameter-optimization hyperparameter-tuning gradient-boosting-classifier gradient-boosting

Updated Aug 15, 2018
Python

Freemanzxp / GBDT_Simple_Tutorial

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python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

machine-learning gbdt gradient-boosting gradient-boosting-decision-trees gnm

Updated Jun 15, 2019
Python

elucideye / drishti

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Real time eye tracking for embedded and mobile devices.

android c-plus-plus ios xgboost eye-tracking acf face-detection object-detection dlib hunter face-tracking gradient-boosting drishti

Updated Sep 4, 2019
C++

rickiepark / handson-ml

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도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

python machine-learning deep-neural-networks reinforcement-learning deep-learning neural-network random-forest tensorflow svm scikit-learn recurrent-neural-networks xgboost autoencoder ensemble-learning gradient-boosting

Updated Mar 4, 2020
Jupyter Notebook

arogozhnikov / infiniteboost

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InfiniteBoost: building infinite ensembles with gradient descent

machine-learning research random-forest experiments gradient-boosting

Updated Sep 17, 2018
Jupyter Notebook

cheng-li / pyramid

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Open source Machine Learning library written in Java

java machine-learning machine-learning-library multi-label-classification gradient-boosting

Updated Oct 13, 2020
Java

serengil / chefboost

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A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

python data-science machine-learning data-mining random-forest kaggle id3 gbdt gbm gbrt gradient-boosting-machine cart adaboost decision-trees gradient-boosting c45-trees categorical-features gradient-boosting-machines regression-tree

Updated Jul 14, 2020
Python

x4nth055 / emotion-recognition-using-speech

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Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

machine-learning deep-learning sklearn keras recurrent-neural-networks feature-extraction neural-networks support-vector-machine mfcc librosa emotion-detection gradient-boosting emotion-recognition kneighborsclassifier random-forest-classifier mlp-classifier speech-emotion-recognition emotion-recognizer

Updated Sep 27, 2020
Python

qiyiping / gbdt

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machine-learning gbdt gbm gbrt gradient-boosting-machine boosting-algorithms gradient-boosting gradient-boosting-decision-trees

Updated Jul 8, 2019
C++

pfnet-research / autogbt-alt

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An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

python machine-learning kaggle lightgbm automl gradient-boosting

Updated Apr 1, 2019
Python

sh1ng / arboretum

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Gradient Boosting powered by GPU(NVIDIA CUDA)

python machine-learning gpu cuda gradient-boosting-machine gradient-boosting arboretum

Updated Apr 7, 2020
Cuda

bsharchilev / influence_boosting

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Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

python machine-learning paper machine-learning-algorithms gradient-boosting catboost influence-functions

Updated Mar 3, 2018
Python

Blunde1 / agtboost

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Adaptive and automatic gradient boosting computations.

machine-learning information-theory adaptive-learning gradient-boosting

Updated Nov 14, 2020
C++

Evovest / EvoTrees.jl

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Boosted trees in Julia

machine-learning julia regression logistic quantile gbrt poisson decision-tree boosted-trees gradientboosting gradient-boosting

Updated Nov 28, 2020
Julia

closest-git / LiteMORT

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A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

machine-learning high-performance-computing gbdt data-mining-algorithms binary-classification gradient-boosting regression-algorithms

Updated Mar 7, 2020
C++

serengil / decision-trees-for-ml

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Building Decision Trees From Scratch In Python

machine-learning random-forest xgboost id3 gbm lightgbm gradient-boosting-machine cart adaboost c45 decision-tree gradient-boosting boosting bagging regression-trees

Updated Nov 3, 2019
Jupyter Notebook

KwokHing / YandexCatBoost-Python-Demo

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Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

visualization python seaborn feature-selection data-preprocessing python27 gradient-boosting-classifier gradient-boosting pearson-correlation one-hot-encode catboost variance-analysis yandex-catboost

Updated Dec 5, 2019
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benedekrozemberczki / BoostedFactorization

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An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

machine-learning data-mining word2vec sklearn deepwalk matrix-factorization dimensionality-reduction gradient-boosting-machine unsupervised-learning network-embedding nmf gradient-boosting boosting node2vec factorization-machine nmf-decomposition node-embedding l-ensnmf boosting-machine boostedne

Updated Sep 24, 2020
Python

jieyima / Cryptocurrency_Investment_Analysis_and_Modeling

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Machine learning regression algorithm on cryptocurrency stock price for the next 30 days.

portfolio machine-learning bitcoin ethereum plotly regression cryptocurrency monero litecoin stock-prediction gradient-boosting price-prediction extra-trees-classifier

Updated Mar 12, 2018
Jupyter Notebook

gradient-boosting

Here are 293 public repositories matching this topic...

microsoft / LightGBM

How you are using LightGBM?

Environment info

Reproducible example(s)

slundberg / shap

ddbourgin / numpy-ml

EpistasisLab / tpot

catboost / catboost

interpretml / interpret

ClimbsRocks / auto_ml

benedekrozemberczki / awesome-decision-tree-papers

stanfordmlgroup / ngboost

benedekrozemberczki / awesome-fraud-detection-papers

benedekrozemberczki / awesome-gradient-boosting-papers

zygmuntz / hyperband

Freemanzxp / GBDT_Simple_Tutorial

elucideye / drishti

rickiepark / handson-ml

arogozhnikov / infiniteboost

cheng-li / pyramid

serengil / chefboost

x4nth055 / emotion-recognition-using-speech

qiyiping / gbdt

pfnet-research / autogbt-alt

sh1ng / arboretum

bsharchilev / influence_boosting

Blunde1 / agtboost

Evovest / EvoTrees.jl

closest-git / LiteMORT

serengil / decision-trees-for-ml

KwokHing / YandexCatBoost-Python-Demo

benedekrozemberczki / BoostedFactorization

jieyima / Cryptocurrency_Investment_Analysis_and_Modeling

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