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dmlc / xgboost

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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.

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feature-request good first issue
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Trusted-AI / adversarial-robustness-toolbox

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Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

python deep-neural-networks attack scikit-learn extraction artificial-intelligence xgboost lightgbm logistic-regression support-vector-machine decision-trees poisoning adversarial-machine-learning adversarial-examples adversarial-attacks gradient-boosted-trees defense-methods codait trusted-ai
  • Updated Mar 31, 2021
  • Python

BayesWitnesses / m2cgen

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add option to save generated code into file

8
StrikerRUS
StrikerRUS commented Oct 18, 2019

I'm sorry if I missed this functionality, but CLI version hasn't it for sure (I saw the related code only in generate_code_examples.py). I guess it will be very useful to eliminate copy-paste phase, especially for large models.

Of course, piping is a solution, but not for development in Jupyter Notebook, for example.

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enhancement good first issue
awesome-decision-tree-papers

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 Feb 11, 2021
  • Python
mljar-supervised

mljar / mljar-supervised

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kubeflow / kfserving

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Broken links in the KFServing repo

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yuzisun
yuzisun commented Mar 16, 2021

/kind bug

What steps did you take and what happened:
[A clear and concise description of what the bug is.]

Page: /ROADMAP.md, Link: ../kfserving////prediction V2 API, Status: local file/dir not found
Page: python/lgbserver/README.md, Link: https://github.com/kubeflow/kfserving/tree/master/docs/samples/lightgbm, Status: HTTP 404
Page: python/sklearnserver/README.md, Link: https://
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good first issue help wanted kind/bug
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awesome-gradient-boosting-papers

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 Feb 11, 2021
  • Python

interviewBubble / Data-Science-Competitions

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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

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