DOC fix docstring in _fit method of TSNE class
@@ -650,10 +650,11 @@ class TSNE(BaseEstimator):
----------
X : array, shape (n_samples, n_features) or (n_samples, n_samples)
If the metric is 'precomputed' X must be a square distance
- matrix. Otherwise it contains a sample per row. Note that this
- when method='barnes_hut', X cannot be a sparse array and if need be
- will be converted to a 32 bit float array. Method='exact' allows
- sparse arrays and 64bit floating point inputs.
+ matrix. Otherwise it contains a sample per row. Note that
+ when method='barnes_hut', X cannot be a sparse array and
+ will be converted to a 32 bit float array if need be.
+ Method='exact' allows sparse arrays and 64 bit floating point
+ inputs.
skip_num_points : int (optional, default:0)
This does not compute the gradient for points with indices below
