Spaces:
Running
on
Zero
Running
on
Zero
update parameters
Browse files
app.py
CHANGED
@@ -1274,7 +1274,7 @@ def make_parameters_section(is_lisa=False, model_ratio=True):
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ncut_knn_slider = gr.Slider(1, 100, step=1, label="NCUT: KNN", value=10, elem_id="knn_ncut", info="Nyström approximation")
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ncut_indirect_connection = gr.Checkbox(label="indirect_connection", value=True, elem_id="ncut_indirect_connection", info="Add indirect connection to the sub-sampled graph")
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ncut_make_orthogonal = gr.Checkbox(label="make_orthogonal", value=False, elem_id="ncut_make_orthogonal", info="Apply post-hoc eigenvectors orthogonalization")
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with gr.Accordion("Advanced Parameters:
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# embedding_method_dropdown = gr.Dropdown(["tsne_3d", "umap_3d", "umap_shpere", "tsne_2d", "umap_2d"], label="Coloring method", value="tsne_3d", elem_id="embedding_method")
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embedding_method_dropdown = gr.Radio(["tsne_3d", "umap_3d", "umap_shpere", "tsne_2d", "umap_2d"], label="Coloring method", value="tsne_3d", elem_id="embedding_method")
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# embedding_metric_dropdown = gr.Dropdown(["euclidean", "cosine"], label="t-SNE/UMAP metric", value="euclidean", elem_id="embedding_metric")
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ncut_knn_slider = gr.Slider(1, 100, step=1, label="NCUT: KNN", value=10, elem_id="knn_ncut", info="Nyström approximation")
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ncut_indirect_connection = gr.Checkbox(label="indirect_connection", value=True, elem_id="ncut_indirect_connection", info="Add indirect connection to the sub-sampled graph")
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ncut_make_orthogonal = gr.Checkbox(label="make_orthogonal", value=False, elem_id="ncut_make_orthogonal", info="Apply post-hoc eigenvectors orthogonalization")
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+
with gr.Accordion("Advanced Parameters: Visualization", open=False):
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# embedding_method_dropdown = gr.Dropdown(["tsne_3d", "umap_3d", "umap_shpere", "tsne_2d", "umap_2d"], label="Coloring method", value="tsne_3d", elem_id="embedding_method")
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embedding_method_dropdown = gr.Radio(["tsne_3d", "umap_3d", "umap_shpere", "tsne_2d", "umap_2d"], label="Coloring method", value="tsne_3d", elem_id="embedding_method")
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# embedding_metric_dropdown = gr.Dropdown(["euclidean", "cosine"], label="t-SNE/UMAP metric", value="euclidean", elem_id="embedding_metric")
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