ValueError: perplexity must be less than n_samples

[yogurt-shadow]

I have tried to run the code with command python3 RNN_train.py -JI exp_config_getting_started.json
but got an error below

Traceback (most recent call last):
  File "/home/wangzh/Ropey/RNN_train.py", line 102, in <module>
    plot_tsne(model, vocabs[0], model_path, "RN")
  File "/home/wangzh/Ropey/RNN_eval.py", line 88, in plot_tsne
    tsne_proj = tsne.fit_transform(emb_w)
                ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/wangzh/miniconda3/lib/python3.11/site-packages/sklearn/utils/_set_output.py", line 295, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/wangzh/miniconda3/lib/python3.11/site-packages/sklearn/base.py", line 1474, in wrapper
    return fit_method(estimator, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/wangzh/miniconda3/lib/python3.11/site-packages/sklearn/manifold/_t_sne.py", line 1135, in fit_transform
    self._check_params_vs_input(X)
  File "/home/wangzh/miniconda3/lib/python3.11/site-packages/sklearn/manifold/_t_sne.py", line 846, in _check_params_vs_input
    raise ValueError("perplexity must be less than n_samples")
ValueError: perplexity must be less than n_samples

This seems some bugs in sklearn or tmplot or modisco, as the same issue posted on maximtrp/tmplot#6 and kundajelab/tfmodisco#112

However, reinstall tmplot==0.1.2 or modisco==0.5.16.4.1 doesn't work.

I think it will help a lot if the package version is suggested in requirements.txt.