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docs(KDP): adjusting numerical embeddings docs
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docs/advanced/numerical-embeddings.md

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@@ -350,3 +350,65 @@ Global numerical embeddings allow coordinated embeddings across all features:
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These diagrams illustrate how KDP transforms numerical features into rich embedding spaces, capturing complex patterns and non-linear relationships.
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## 💡 How to Enable
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## 🧩 Dependencies
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<div class="dependencies-container">
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<div class="dependencies-card">
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<h3>Core Dependencies</h3>
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<ul class="dependency-list">
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<li>🐍 Python 3.9+</li>
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<li>🔄 TensorFlow 2.18.0+</li>
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<li>🔢 NumPy 1.22.0+</li>
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<li>📊 Pandas 2.2.0+</li>
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<li>📝 loguru 0.7.2+</li>
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</ul>
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</div>
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<div class="dependencies-card">
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<h3>Optional Dependencies</h3>
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<div class="table-container">
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<table class="config-table">
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<thead>
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<tr>
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<th>Package</th>
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<th>Purpose</th>
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<th>Install Command</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>scipy</td>
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<td>🧪 Scientific computing and statistical functions</td>
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<td><code>pip install "kdp[dev]"</code></td>
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</tr>
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<tr>
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<td>ipython</td>
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<td>🔍 Interactive Python shell and notebook support</td>
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<td><code>pip install "kdp[dev]"</code></td>
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</tr>
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<tr>
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<td>pytest</td>
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<td>✅ Testing framework and utilities</td>
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<td><code>pip install "kdp[dev]"</code></td>
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</tr>
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<tr>
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<td>pydot</td>
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<td>📊 Graph visualization for model architecture</td>
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<td><code>pip install "kdp[dev]"</code></td>
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</tr>
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<tr>
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<td>Development Tools</td>
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<td>🛠️ All development dependencies</td>
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<td><code>pip install "kdp[dev]"</code></td>
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</tr>
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<tr>
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<td>Documentation Tools</td>
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<td>📚 Documentation generation tools</td>
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<td><code>pip install "kdp[doc]"</code></td>
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</tr>
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</tbody>
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</table>
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</div>
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</div>
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</div>

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