fix formatting
Browse files
app.py
CHANGED
@@ -17,7 +17,7 @@ def mean(data, framework):
|
|
17 |
|
18 |
|
19 |
for framework in frameworks:
|
20 |
-
data.update({framework: mean(
|
21 |
|
22 |
df = pd.DataFrame(data=data)
|
23 |
table = df.to_markdown(index=False)
|
@@ -30,14 +30,12 @@ with gr.Blocks() as demo:
|
|
30 |
|
31 |
This is a leaderboard of the MASE metric for time series forecasting problem on the different open datasets and models.
|
32 |
|
33 |
-
The table is generated from the paper [AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting](https://github.com/autogluon/autogluon) by
|
34 |
-
Oleksandr Shchur, Caner Turkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, and Bernie Wang.
|
35 |
|
36 |
## MASE Metric
|
37 |
-
|
38 |
-
{table}
|
39 |
"""
|
40 |
)
|
|
|
41 |
|
42 |
if __name__ == "__main__":
|
43 |
demo.launch()
|
|
|
17 |
|
18 |
|
19 |
for framework in frameworks:
|
20 |
+
data.update({framework: [mean(dataset, framework) for dataset in datasets]})
|
21 |
|
22 |
df = pd.DataFrame(data=data)
|
23 |
table = df.to_markdown(index=False)
|
|
|
30 |
|
31 |
This is a leaderboard of the MASE metric for time series forecasting problem on the different open datasets and models.
|
32 |
|
33 |
+
The table is generated from the paper [AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting](https://github.com/autogluon/autogluon) by Oleksandr Shchur, Caner Turkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, and Bernie Wang.
|
|
|
34 |
|
35 |
## MASE Metric
|
|
|
|
|
36 |
"""
|
37 |
)
|
38 |
+
gr.Markdown(table)
|
39 |
|
40 |
if __name__ == "__main__":
|
41 |
demo.launch()
|