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User Guide
Installation
Simple Usage
Building Blocks of a ParaDime Routine
ParaDime Specifications
Examples
Linear Parametric MDS
Parametric UMAP
Hybrid Classification & Embedding
Supervised DR with a Custom Loss
Guiding Embeddings by Correlation
Relations and Derived Data
API Reference
API Reference
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Examples
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Linear Parametric MDS
Parametric UMAP
Relations
Losses and Derived Data
Routine & Training Phases
Training, Applying and Plotting
Hybrid Classification & Embedding
Defining Our Custom Model
Defining the ParaDime Routine
Plotting the Results
Supervised DR with a Custom Loss
The Cover Type Dataset
Regular t-SNE
Unsupervised Parametric t-SNE
Supervised Parametric t-SNE
Guiding Embeddings by Correlation
Data Preprocessing
Relations and Derived Data
Custom Loss
Setting up the Routine
Visualizing the Results
Verifying the Feature Importance
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