@@ -0,0 +1,551 @@
+import numpy as np%0Aimport tensorflow as tf%0Afrom autoencoder.io import read_text, preprocess%0Afrom autoencoder.api import autoencode%0Aimport keras.backend as K%0A%0A# for full reproducibility%0Anp.random.seed(1)%0Atf.set_random_seed(1)%0Asess = tf.Session(config=tf.ConfigProto(intra_op_parallelism_threads=1,%0A                                        inter_op_parallelism_threads=1))%0AK.set_session(sess)%0A%0Ax = read_text('biochemists.tsv', header='infer')%0Aprint(x.shape)%0A%0A# test API%0Aresult = autoencode(x, 'test-ae', type='zinb-conddisp', hidden_size=(1,), epochs=3)%0A

Add a fully reproducible autoencoder test code