... | @@ -70,10 +70,21 @@ V_red = my_sign0.V[:,:elbow_idx] |
... | @@ -70,10 +70,21 @@ V_red = my_sign0.V[:,:elbow_idx] |
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### Signatures type 2
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### Signatures type 2
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Signatures type 2 are the result of a two-step process:
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1. Loading nearest-neighbor similarities type 1 as a graph.
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2. Perform `node2vec`.
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It is not possible to produce embedding for out-of-sample (out-of-vocabulary) nodes, so a multi-output regression needs to be performed, a posteriori, from signatures type 1 to signatures type 2 in order to endow `predict()` capabilities.
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### Signatures type 3
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### Signatures type 3
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:construction: We haven't figured out how to derive signatures of type 3, yet.
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### Similarity vectors
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### Similarity vectors
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These are, arguably, the mo
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### Nearest neighbors
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### Nearest neighbors
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### Predicted nearest neighbors
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### Predicted nearest neighbors
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