From dc7e92ef71706d612e288f3d679f6b67ecbd90dc Mon Sep 17 00:00:00 2001 From: Bilal Nizami Date: Mon, 26 Mar 2018 14:37:02 +0200 Subject: [PATCH] update tsne usage --- docs/source/pca_use.rst | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/docs/source/pca_use.rst b/docs/source/pca_use.rst index e156bdf..f0b1709 100644 --- a/docs/source/pca_use.rst +++ b/docs/source/pca_use.rst @@ -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 | ++------------------------+------------+--------------------+-----------------------------+ + + **Outputs:**