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notebooks/02_benchmark_analysis.ipynb
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@@ -367,35 +367,7 @@
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"for space_label, space_val in [(\"Univariate\", \"uni\"), (\"Multivariate\", \"multi\")]:\n",
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" sub = df[df[\"input_space\"] == space_val].sort_values(\"uniformity\").copy() # more negative = better\n",
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" if sub.empty:\n",
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" continue\n",
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"\n",
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" methods = sub[\"method\"].tolist()\n",
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" colors = method_colors(methods)\n",
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"\n",
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" fig = go.Figure()\n",
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" fig.add_trace(go.Bar(\n",
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" x=methods, y=sub[\"uniformity\"],\n",
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" marker_color=colors,\n",
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" text=sub[\"uniformity\"].round(2).astype(str),\n",
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" textposition=\"outside\",\n",
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" ))\n",
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"\n",
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" # Highlight collapse zone\n",
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" fig.add_hrect(y0=-0.5, y1=0, fillcolor=\"#ff000015\", line_width=0,\n",
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" annotation_text=\"Collapse zone\", annotation_position=\"top right\")\n",
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"\n",
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" fig.update_layout(\n",
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" **LAYOUT_DEFAULTS,\n",
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" title=f\"Uniformity (embedding spread) -- {space_label}\",\n",
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" yaxis_title=\"Uniformity (more negative = better)\",\n",
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" showlegend=False,\n",
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" )\n",
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" fig.show()"
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]
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{
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"cell_type": "markdown",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": "for space_label, space_val in [(\"Univariate\", \"uni\"), (\"Multivariate\", \"multi\")]:\n sub = df[df[\"input_space\"] == space_val].sort_values(\"uniformity\").copy() # more negative = better\n if sub.empty:\n continue\n\n methods = sub[\"method\"].tolist()\n colors = method_colors(methods)\n\n fig = go.Figure()\n fig.add_trace(go.Bar(\n x=methods, y=sub[\"uniformity\"],\n marker_color=colors,\n text=sub[\"uniformity\"].round(2).astype(str),\n textposition=\"outside\",\n ))\n\n # Highlight collapse zone\n fig.add_hrect(y0=-0.5, y1=0, fillcolor=\"rgba(255,0,0,0.08)\", line_width=0,\n annotation_text=\"Collapse zone\", annotation_position=\"top right\")\n\n fig.update_layout(\n **LAYOUT_DEFAULTS,\n title=f\"Uniformity (embedding spread) -- {space_label}\",\n yaxis_title=\"Uniformity (more negative = better)\",\n showlegend=False,\n )\n fig.show()"
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},
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{
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"cell_type": "markdown",
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