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on: | ||
workflow_dispatch: | ||
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name: Quarto Publish | ||
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jobs: | ||
build-deploy: | ||
runs-on: ubuntu-latest | ||
defaults: | ||
run: | ||
shell: bash -el {0} | ||
permissions: | ||
contents: write | ||
steps: | ||
- name: Check out repository | ||
uses: actions/checkout@v3 | ||
- name: Set up Quarto | ||
uses: quarto-dev/quarto-actions/setup@v2 | ||
with: | ||
tinytex: true | ||
# version: "pre-release" | ||
- name: Set up Python | ||
uses: conda-incubator/setup-miniconda@v2 | ||
with: | ||
activate-environment: test | ||
auto-update-conda: true | ||
python-version: "3.10" | ||
channels: conda-forge | ||
allow-softlinks: true | ||
channel-priority: flexible | ||
show-channel-urls: true | ||
- name: Install dependencies | ||
run: | | ||
conda install --yes -c plotly plotly numpy scipy scikit-learn pandas | ||
- name: Render and Publish | ||
run: | | ||
git config --global user.email "mgraffg@ieee.org" | ||
git config --global user.name "mgraffg" | ||
quarto publish gh-pages quarto --no-browser | ||
env: | ||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} |
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,Recall,Country,Training Size | ||
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,Recall,Country,Training Size | ||
0,0.635986328125,at,4096 | ||
1,0.723388671875,ch,4096 | ||
2,0.78515625,at,8192 | ||
3,0.716552734375,ch,8192 |
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--- | ||
title: "Dialect Identification (dialectid)" | ||
format: | ||
dashboard: | ||
logo: images/ingeotec.png | ||
nav-buttons: [github] | ||
theme: cosmo | ||
execute: | ||
freeze: auto | ||
--- | ||
|
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# Introduction | ||
|
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Computational models for dialect identification. | ||
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# Languages | ||
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# Usage | ||
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# Performance | ||
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## Column {.tabset} | ||
```{python} | ||
#| echo: false | ||
#| title: Arabic (ar) | ||
import pandas as pd | ||
import plotly.express as px | ||
df = pd.read_csv('data/ar-recall.csv', index_col=0) | ||
df2 = df.sort_values(by=['Training Size', 'Recall']) | ||
fig = px.bar(df2.astype({'Training Size': str}), | ||
x='Country', y='Recall', | ||
barmode='overlay', | ||
color='Training Size') | ||
fig.show() | ||
``` | ||
|
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```{python} | ||
#| echo: false | ||
#| title: German (de) | ||
import pandas as pd | ||
import seaborn as sns | ||
df = pd.read_csv('data/de-recall.csv', index_col=0) | ||
df2 = df.sort_values(by=['Training Size', 'Recall']) | ||
fig = px.bar(df2.astype({'Training Size': str}), | ||
x='Country', y='Recall', | ||
barmode='overlay', | ||
color='Training Size') | ||
fig.show() | ||
``` |
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