ncaa-march-madness-2020 0.0.2

Internal functions for NCAA March Madness 2020

ncaa-march-madness-2020

The goal of ncaa-march-madness-2020 is to store the notebooks for this Kaggle Competition, see GitBook including

• Baseline
• XGBOOST \u8d85\u53c2\u6570\u8c03\u6574
• Target encoding
• ID embedding
• GBDT + LR
• GBDT + LR k-fold
• \u53d8\u91cf\u91cd\u8981\u6027
• Linear vs.\u00a0Tree linear?
• Auto-encoder \u67e5\u8be2\u5f02\u5e38\u503c
• Python \u5305\u8bf4\u660e

We publish our package with some internal functions, install with

pip install ncaa-march-madness-2020

How to use

All notebooks work in the analysis directory, and save all data files in input, output and data directories.

fs::dir_tree(\"analysis\", recurse = TRUE, regexp = \"ipynb\")
#> analysis
#> +-- baseline.ipynb
#> +-- evaluate-features.ipynb
#> +-- gbdt_lr.ipynb
#> +-- gbdt_lr_CV.ipynb
#> +-- id2vec.ipynb
#> +-- linear-base-learner.ipynb
#> +-- march-madness-2020-ncaam-simple-lightgbm-on-kfold.ipynb
#> +-- Obtain_Answer.ipynb
#> +-- outliers.ipynb
#> +-- params_tuning.ipynb
#> +-- paris-madness.ipynb
#> +-- pkg_test.ipynb
#> \\-- target-encoding.ipynb
fs::dir_tree(recurse = TRUE, regexp = \"input|output|data\")
#> .
#> +-- data
#> |   +-- feature_importances.csv
#> |   +-- id2vec.npy
#> |   +-- NCAA2020_Kenpom.csv
#> |   +-- outlier_df.csv
#> |   +-- submission_True.csv
#> |   +-- team_strength_embedding.csv
#> |   +-- Tourney_Reuslt.csv
#> |   \\-- Tourney_Reuslt_inputs.csv
#> +-- input
#> |   +-- google-cloud-ncaa-march-madness-2020-division-1-mens-tournament
#> |   |   +-- MDataFiles_Stage1
#> |   |   |   +-- Cities.csv
#> |   |   |   +-- Conferences.csv
#> |   |   |   +-- MConferenceTourneyGames.csv
#> |   |   |   +-- MGameCities.csv
#> |   |   |   +-- MMasseyOrdinals.csv
#> |   |   |   +-- MNCAATourneyCompactResults.csv
#> |   |   |   +-- MNCAATourneyDetailedResults.csv
#> |   |   |   +-- MNCAATourneySeedRoundSlots.csv
#> |   |   |   +-- MNCAATourneySeeds.csv
#> |   |   |   +-- MNCAATourneySlots.csv
#> |   |   |   +-- MRegularSeasonCompactResults.csv
#> |   |   |   +-- MRegularSeasonDetailedResults.csv
#> |   |   |   +-- MSeasons.csv
#> |   |   |   +-- MSecondaryTourneyCompactResults.csv
#> |   |   |   +-- MSecondaryTourneyTeams.csv
#> |   |   |   +-- MTeamCoaches.csv
#> |   |   |   +-- MTeamConferences.csv
#> |   |   |   +-- MTeams.csv
#> |   |   |   \\-- MTeamSpellings.csv
#> |   |   +-- MEvents2015.csv
#> |   |   +-- MEvents2016.csv
#> |   |   +-- MEvents2017.csv
#> |   |   +-- MEvents2018.csv
#> |   |   +-- MEvents2019.csv
#> |   |   +-- MPlayers.csv
#> |   |   \\-- MSampleSubmissionStage1_2020.csv
#> |   \\-- google-cloud-ncaa-march-madness-2020-division-1-mens-tournament.zip
#> +-- large_data
#> \\-- output
#>     \\-- paris-submission.csv

Download Data

From https://github.com/Kaggle/kaggle-api

kaggle competitions download -c google-cloud-ncaa-march-madness-2020-division-1-mens-tournament -p input
mkdir input/google-cloud-ncaa-march-madness-2020-division-1-mens-tournament
unzip input/google-cloud-ncaa-march-madness-2020-division-1-mens-tournament.zip -d input/google-cloud-ncaa-march-madness-2020-division-1-mens-tournament

Code of Conduct

Please note that the ncaa-march-madness-2020 project is released with a Contributor Code of Conduct.
By contributing to this project, you agree to abide by its terms.

License

Apache License (\>= 2.0) \u00a9 Jiaxiang Li;Jiatao Li;Zhipeng Liang;Yue Pan