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structured-data-classification-grn-vsn

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shivi commited on Jul 31, 2022

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596b78a

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1 Parent(s): 225c99f

Update app.py

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app.py CHANGED Viewed

@@ -15,7 +15,7 @@ with demo:
     gr.Markdown("# **Binary Classification using Gated Residual and Variable Selection Networks** \n")
     gr.Markdown("This space demonstrates the use of Gated Residual Networks (GRN) and Variable Selection Networks (VSN), proposed by Bryan Lim et al. in <a href=\"https://arxiv.org/abs/1912.09363/\">Temporal Fusion Transformers (TFT) for Interpretable Multi-horizon Time Series Forecasting</a> for structured data classification")
-    gr.Markdown("The model used by this space was trained on the [United States Census Income Dataset](https://archive.ics.uci.edu/ml/datasets/Census-Income+%28KDD%29) dataset and helps to predict if the income of a person will be >$500K or not.")
     gr.Markdown("Play around and see yourself 🤗 ")
     with gr.Tabs():

     gr.Markdown("# **Binary Classification using Gated Residual and Variable Selection Networks** \n")
     gr.Markdown("This space demonstrates the use of Gated Residual Networks (GRN) and Variable Selection Networks (VSN), proposed by Bryan Lim et al. in <a href=\"https://arxiv.org/abs/1912.09363/\">Temporal Fusion Transformers (TFT) for Interpretable Multi-horizon Time Series Forecasting</a> for structured data classification")
+    gr.Markdown("The model used by this space was trained on the [United States Census Income Dataset](https://archive.ics.uci.edu/ml/datasets/Census-Income+%28KDD%29) and helps to predict if the income of a person will be >$500K or not.")
     gr.Markdown("Play around and see yourself 🤗 ")
     with gr.Tabs():