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update tsne usage
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nizamibilal committed Mar 26, 2018
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Expand Up @@ -399,6 +399,23 @@ t-distributed Stochastic Neighbor Embedding (t-SNE) is a tool for dimensionality
| | | | minimal = CA, |
| | | | CB, C, N, O atoms |
+------------------------+------------+--------------------+-----------------------------+
| PERPLEXITY | Float | ``-pr`` | [t-SNE parameters] The |
| | | | perplexity is related to the|
| | | | number of nearest neighbors |
| | | | that is used in other |
| | | | manifold learning algorithms|
| | | | Default is 30 |
+------------------------+------------+--------------------+-----------------------------+
| LEARNING_RATE | Float | ``-lr`` | [t-SNE parameters] The |
| | | | learning rate for t-SNE. |
| | | | Default is 200 |
+------------------------+------------+--------------------+-----------------------------+
| N_ITER, | Int | ``-ni`` | [t-SNE parameters] Number of|
| | | | iteration to run. Default |
| | | | is 300 |
+------------------------+------------+--------------------+-----------------------------+




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