Negative value in the imputation result.

[ShellyCoder]

Dear author,

I have applied SAUCIE, which is a wonderful tool, to my scRNAseq data. But there might exist some negative values in the imputation result, which range -1e-01 to -1e-10. And what I feed in the model doesn't have any negative values.

Could I transform these minimal negative values into 0? or If I have some wrong codes in the analysis.

Thanks.

  import sys
  import SAUCIE
  import numpy as np
  import tensorflow as tf
  
  tf.reset_default_graph()
  
  data = data.values
  saucie = SAUCIE.SAUCIE(data.shape[1])
  loadtrain = SAUCIE.Loader(data, shuffle=True)
  saucie.train(loadtrain, steps=1000)
  
  loadeval = SAUCIE.Loader(data, shuffle=False)
  embedding = saucie.get_embedding(loadeval)
  number_of_clusters, clusters = saucie.get_clusters(loadeval)
  reconstruction = saucie.get_reconstruction(loadeval)