Source code for bio_embeddings.project.tsne
from sklearn.manifold import TSNE
[docs]def tsne_reduce(embeddings, **kwargs):
"""Wrapper around :meth:`sklearn.manifold.TSNE` with defaults for bio_embeddings"""
tsne_params = dict()
tsne_params['n_components'] = kwargs.get('n_components', 3)
tsne_params['perplexity'] = kwargs.get('perplexity', 6)
tsne_params['random_state'] = kwargs.get('random_state', 420)
tsne_params['n_iter'] = kwargs.get('n_iter', 15000)
tsne_params['verbose'] = kwargs.get('verbose', 1)
tsne_params['n_jobs'] = kwargs.get('n_jobs', -1)
tsne_params['metric'] = kwargs.get('metric', 'cosine')
transformed_embeddings = TSNE(**tsne_params).fit_transform(embeddings)
return transformed_embeddings