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box-plots-sklearn

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An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.

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ZIP 다운로드

- 1.0-full-model.ipynb
- - multilabel.py
- - SparseInteractions.py
- - metrics.py
- __init__.py
.gitignore
LICENSE
Makefile
README.md
requirements.txt

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`pip freeze`

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List installed packages in requirements format.

pip freeze

List installed packages:

pip freeze > requirements.txt

Write installed packages to the `requirements.txt` file:

pip freeze {{[-l|--local]}}

List installed packages in a virtual environment, excluding globally installed packages:

// repository documentation

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box-plots-sklearn
==============================

A scikit learn implementation of the winning algorithms for the Box Plots for Education competition.

Project Organization
------------

├── LICENSE
    ├── Makefile           <- Makefile with commands like `make data` or `make train`
    ├── README.md          <- The top-level README for developers using this project.
    ├── data
    │   ├── external       <- Data from third party sources.
    │   ├── interim        <- Intermediate data that has been transformed.
    │   ├── processed      <- The final, canonical data sets for modeling.
    │   └── raw            <- The original, immutable data dump.
    │
    ├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
    │                         generated with `pip freeze > requirements.txt`
    │
    ├── src                <- Source code for use in this project.
    │   ├── __init__.py    <- Makes src a Python module
    │   │
    │   ├── data           <- Scripts to download or generate data
    │   │   └── make_dataset.py
    │   │
    │   ├── features       <- Scripts to turn raw data into features for modeling
    │   │   └── build_features.py
    │   │
    │   ├── models         <- Scripts to train models and then use trained models to make
    │   │   │                 predictions
    │   │   ├── predict_model.py
    │   │   └── train_model.py
    │

--------

<p><small>Project based on the <a target="_blank" href="https://drivendata.github.io/cookiecutter-data-science/">cookiecutter data science project template</a>. #cookiecutterdatascience</small></p>