Reputation: 11
import umap.umap_ as umap
#Uniform Manifold Approximation and Projection,find out how distinct our topics are
#https://umap-learn.readthedocs.io/en/latest/
embedding = umap.UMAP(n_neighbors=150, min_dist=0.5,random_state=12).fit_transform(X_topics)
plt.figure(figsize=(10,8))
plt.scatter(embedding[:, 0],
embedding[:, 1],
c = dataset.target,
s = 10, # size
edgecolor='none' )
plt.show()
ValueError Traceback (most recent call last) in 2 #Uniform Manifold Approximation and Projection,find out how distinct our topics are 3 #https://umap-learn.readthedocs.io/en/latest/ ----> 4 embedding = umap.UMAP(n_neighbors=150, min_dist=0.5,random_state=12).fit_transform(X_topics) 5 6 plt.figure(figsize=(10,8))
ValueError: Buffer has wrong number of dimensions (expected 1, got 2)
Upvotes: 1
Views: 257