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[ENH] Import openTSNE lazily for faster loading of Orange #4424

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Feb 18, 2020
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[ENH] Import openTSNE lazily for faster loading of Orange #4424

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20 changes: 13 additions & 7 deletions Orange/projection/manifold.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,10 +8,6 @@
from scipy.sparse.linalg import eigsh as arpack_eigh
import sklearn.manifold as skl_manifold

import openTSNE
import openTSNE.affinity
import openTSNE.initialization

import Orange
from Orange.data import Table, Domain, ContinuousVariable
from Orange.distance import Distance, DistanceModel, Euclidean
Expand All @@ -21,9 +17,19 @@
__all__ = ["MDS", "Isomap", "LocallyLinearEmbedding", "SpectralEmbedding",
"TSNE"]

# Disable t-SNE user warnings
openTSNE.tsne.log.setLevel(logging.ERROR)
openTSNE.affinity.log.setLevel(logging.ERROR)

class _LazyTSNE: # pragma: no cover
def __getattr__(self, attr):
# pylint: disable=import-outside-toplevel,redefined-outer-name,global-statement
global openTSNE
import openTSNE
# Disable t-SNE user warnings
openTSNE.tsne.log.setLevel(logging.ERROR)
openTSNE.affinity.log.setLevel(logging.ERROR)
return openTSNE.__dict__[attr]


openTSNE = _LazyTSNE()


def torgerson(distances, n_components=2, eigen_solver="auto"):
Expand Down