Skip to content
#

xgboost

Star

Here are 1,486 public repositories matching this topic...

Language: All
Filter by language
All 1,486 Jupyter Notebook 897 Python 287 R 111 HTML 63 C++ 22 Scala 9 Java 7 Shell 6 JavaScript 5 Go 4
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

dmlc / xgboost

Star
Open

Better support for mypy.

1
trivialfis
trivialfis commented Dec 13, 2020

Currently many more Python projects like dask and optuna are using Python type hints. With the Python package of xgboost gaining more and more features, we should also adopt mypy as a safe guard against some type errors and for better code documentation.

Read more
feature-request good first issue
Find more good first issues →

BayesWitnesses / m2cgen

Star
Open

m2cgen output for xgboost with binary:logistic objective returns raw (not transformed) scores

5
ehoppmann
ehoppmann commented Aug 23, 2019

Our xgboost models use the binary:logistic' objective function, however the m2cgen converted version of the models return raw scores instead of the transformed scores.

This is fine as long as the user knows this is happening! I didn't, so it took a while to figure out what was going on. I'm wondering if perhaps a useful warning could be raised for users to alert them of this issue? A warning

Read more
bug good first issue help wanted
awesome-decision-tree-papers

benedekrozemberczki / awesome-decision-tree-papers

Sponsor Star

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 Jul 25, 2021
  • Python

kubeflow / kfserving

Star
Open

isvc default resource requests/limits should be optional/configurable via ConfigMap

3
adamkgray
adamkgray commented May 4, 2021

/kind feature

Describe the solution you'd like

In pkg/apis/serving/v1beta1/inference_service_defaults.go the default InferenceService resource requests and limits are hard coded to be 1 cpu and 2Gi memory. These are reasonable defaults. However, the entire existence of these defaults should be disablable. Moreover, administrators should be able to quickly adjust defaults globally via t

Read more
good first issue kfserving/control-plane kind/feature
Find more good first issues →
awesome-gradient-boosting-papers

benedekrozemberczki / awesome-gradient-boosting-papers

Sponsor Star

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 Jul 25, 2021
  • Python

interviewBubble / Data-Science-Competitions

Star

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

data-science machine-learning kaggle kaggle-competition xgboost data-science-competition competition-code analytics-vidhya data-science-competitions datahack-competition machinehack-competition kaggle-winning-solutions-github kaggle-competition-solutions kaggle-competition-for-beginners kaggle-solutions-github competitive-data-science-github
  • Updated Jan 30, 2020

Improve this page

Add a description, image, and links to the xgboost topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the xgboost topic, visit your repo's landing page and select "manage topics."

Learn more