def fit_tsne(similarities, output, learning_rate=750, perplexity=50, n_iter=10000, early_exaggeration=20):
'''
def fit_tsne(similarities, output, learning_rate=750, perplexity=50, n_iter=10000, early_exaggeration=20):
'''
mat[range(n),range(n)] = 1
mat[mat > 1] = 1
dist = 2*np.arccos(mat)/np.pi
mat[range(n),range(n)] = 1
mat[mat > 1] = 1
dist = 2*np.arccos(mat)/np.pi
- plot_data = pd.DataFrame({'x':tsne_fit_whole[:,0],'y':tsne_fit_whole[:,1], 'subreddit':df.subreddit})
+ plot_data = pd.DataFrame({'x':tsne_fit_whole[:,0],'y':tsne_fit_whole[:,1], '_subreddit':df['_subreddit']})