interpretable-test
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NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
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pip install git+https://github.com/wittawatj/interpretable-test@master
```# load text data fname = 'bayes_neuro_np794_nq788_d2000_random_noun.p' #fname = 'bayes_neuro_np794_nq788_d400.p' np.random.seed(2984) fpath = glo.data_file(fname) with open(fpath, 'r') as f: loaded = pickle.load(f) ``` TypeError: a bytes-like object is required, not...