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Examples how MLJAR can be used

6 mentions on Hacker News by 1 person: 0 stories, 6 comments · first 2017-02-22 · latest 2021-01-05

Mentions per year 6 mentions · busiest year 2020 (4)
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  1. …have automatic documentation which creates Markdown reports ready to commit to the repo ( https://github.com/mljar/mljar-examples/tree/master/Income_c... ). - The package produces extensive explanations: decision tree visualization,…
    comment by pplonski86 · 2021-01-05 · in Show HN: Mljar Automated Machine Learning for Tabular Data (Explanation,AutoDoc)
  2. …README.md is created for every model created by AutoML package that I'm working on. More examples: https://github.com/mljar/mljar-examples/tree/master/Income_c... https://github.com/mljar/mljar-examples/tree/master/House_pr...
    comment by pplonski86 · 2020-07-14 · in Show HN: I create README.md for my machine learning models
  3. …good in it: - it can produce markdown reports which you can commit to the repository, example: https://github.com/mljar/mljar-examples/tree/master/House_pr... - it computes the Baseline, so you can check if you need ML or not - this…
    comment by pplonski86 · 2020-05-16 · in Show HN: Tired checking different ML algorithms? Try: mljar-supervised
  4. …What's good in it: - it can produce markdown reports which you can commit to repository, example: https://github.com/mljar/mljar-examples/tree/master/House_pr... . - it computes the Baseline, so you can check if you need ML or not - this…
    comment by pplonski86 · 2020-05-13 · in Show HN: Mljar-Supervised: AutoML Package with Explanations and Markdown Reports
  5. …What's good in it: - it can produce markdown reports which you can commit to repository, example: https://github.com/mljar/mljar-examples/tree/master/House_pr... - it computes the Baseline, so you can check if you need ML or not - this…
    comment by pplonski86 · 2020-05-12 · in Show HN: Automated Machine Learning with Explanations and Markdown Reports
  6. You can find examples here: https://github.com/mljar/mljar-examples You have one API (for many ML algorithms), in which you just select algorithms and call 'fit' to train and tune them. Training and tuning run in the cloud on multiple…
    comment by pplonski86 · 2017-02-22 · in Show HN: Python API for Xgboost, LightGBM, Neural Networks, RGF, Random Forest