Spaces:
Sleeping
Sleeping
Laura Cabayol Garcia
commited on
Commit
Β·
ae6503b
1
Parent(s):
8df2a2e
readme for github
Browse files- README_GITHUB.md +75 -0
README_GITHUB.md
ADDED
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# VitalMetrics
|
2 |
+
|
3 |
+
<a target="_blank" href="https://cookiecutter-data-science.drivendata.org/">
|
4 |
+
<img src="https://img.shields.io/badge/CCDS-Project%20template-328F97?logo=cookiecutter" />
|
5 |
+
</a>
|
6 |
+
|
7 |
+
Repository to Practicing data cleaning, transformation, and analysis techniques. Multi-Class Classification for healthcare prediction.
|
8 |
+
|
9 |
+
## Project Organization
|
10 |
+
|
11 |
+
```
|
12 |
+
βββ LICENSE <- Open-source license if one is chosen
|
13 |
+
βββ Makefile <- Makefile with convenience commands like `make data` or `make train`
|
14 |
+
βββ README.md <- The top-level README for developers using this project.
|
15 |
+
βββ data
|
16 |
+
β βββ external <- Data from third party sources.
|
17 |
+
β βββ interim <- Intermediate data that has been transformed.
|
18 |
+
β βββ processed <- The final, canonical data sets for modeling.
|
19 |
+
β βββ raw <- The original, immutable data dump.
|
20 |
+
β
|
21 |
+
βββ docs <- A default mkdocs project; see www.mkdocs.org for details
|
22 |
+
β
|
23 |
+
βββ models <- Trained and serialized models, model predictions, or model summaries
|
24 |
+
β
|
25 |
+
βββ notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
|
26 |
+
β the creator's initials, and a short `-` delimited description, e.g.
|
27 |
+
β `1.0-jqp-initial-data-exploration`.
|
28 |
+
β
|
29 |
+
βββ pyproject.toml <- Project configuration file with package metadata for
|
30 |
+
β VitalMetrics and configuration for tools like black
|
31 |
+
β
|
32 |
+
βββ references <- Data dictionaries, manuals, and all other explanatory materials.
|
33 |
+
β
|
34 |
+
βββ reports <- Generated analysis as HTML, PDF, LaTeX, etc.
|
35 |
+
β βββ figures <- Generated graphics and figures to be used in reporting
|
36 |
+
β
|
37 |
+
βββ requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
|
38 |
+
β generated with `pip freeze > requirements.txt`
|
39 |
+
β
|
40 |
+
βββ setup.cfg <- Configuration file for flake8
|
41 |
+
β
|
42 |
+
βββ VitalMetrics <- Source code for use in this project.
|
43 |
+
β
|
44 |
+
βββ __init__.py <- Makes VitalMetrics a Python module
|
45 |
+
β
|
46 |
+
βββ config.py <- Store useful variables and configuration
|
47 |
+
β
|
48 |
+
βββ dataset.py <- Scripts to download or generate data
|
49 |
+
β
|
50 |
+
βββ features.py <- Code to create features for modeling
|
51 |
+
β
|
52 |
+
βββ modeling
|
53 |
+
β βββ __init__.py
|
54 |
+
β βββ predict.py <- Code to run model inference with trained models
|
55 |
+
β βββ train.py <- Code to train models
|
56 |
+
β
|
57 |
+
βββ plots.py <- Code to create visualizations
|
58 |
+
|
|
59 |
+
|__ classifier.py
|
60 |
+
```
|
61 |
+
|
62 |
+
--------
|
63 |
+
---
|
64 |
+
title: PENGUINS CLASSIFIER
|
65 |
+
emoji: π
|
66 |
+
colorFrom: indigo
|
67 |
+
colorTo: pink
|
68 |
+
sdk: gradio
|
69 |
+
sdk_version: 4.44.0
|
70 |
+
app_file: app.py
|
71 |
+
pinned: false
|
72 |
+
license: apache-2.0
|
73 |
+
---
|
74 |
+
|
75 |
+
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|