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Max Halford MaxHalford @alan-eu Paris maxhalford.github.io Data wizard @alan-eu. PhD in machine learning applied to query optimization. Kaggle competitions Master. Online machine learning nut.

MaxHalford/eaopt 715

:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

MaxHalford/flask-boilerplate 304

:rocket: Fully fledged Flask boilerplate code

MaxHalford/awesome-online-machine-learning 97

:bookmark_tabs: A curated list of online machine learning courses, software, and papers

MaxHalford/hedgehog 56

🦔 Bayesian networks in Python

MaxHalford/chime 53

🎵 Python sound notifications made easy

MaxHalford/halfgone 35

:white_square_button: Black and white digital halftoning

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:ok_hand: Image simplifier

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:cyclone: Golang arc diagrams

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:four_leaf_clover: eaopt examples

MaxHalford/flask-sse-no-deps 16

An example of server-sent events in Flask without extra dependencies

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created repositorysimonw/vaccinespotter-history

Tracking the history of records on vaccinespotter.org

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rerun notebook

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pull request commentonline-ml/river

Make tree splitters public

The failing tests are related to classifier chains. I believe they were recently updated. Pinging @MaxHalford.

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pull request commentonline-ml/river

Make tree splitters public

Hey @MaxHalford and @jacobmontiel, I added a page in the user guides that is a walkthrough in the tree module. I talked about the different tree models available, model inspection, memory management, and splitters. Hope that can help the users.

Your feedback is welcomed.

(Later today I'll add some basic coverage tests for the splitters)

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Make Metric inherit from base.Base

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init track logic

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finish benchmark logic

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fix style

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fix tests

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fix tests

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Creme -> River

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Add the DenStream clustering algorithm

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Merge pull request #471 from online-ml/benchmarks Benchmarks refactoring

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Add exemple sentence classification

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Update sentence classification example

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add no_learn parameter to pipeline prediction to avoid updating transformers

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add tests verifying scaler updating

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s/no_learn/learn_unsupervised

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Merge pull request #503 from Styren/add-no-learn Add no learn parameter to pipeline transformations

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parametrize tests for proba and score_one

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lint

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Merge pull request #505 from Styren/add-no-learn Parametrize tests for proba-methods

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Merge remote-tracking branch 'upstream/master'

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