diff --git a/train.py b/train.py
deleted file mode 100644
index 0d5eacc..0000000
--- a/train.py
+++ /dev/null
@@ -1,45 +0,0 @@
-import tensorflow as tf
-import numpy as np
-
-from model import create_model
-
-def train(train_synteny_matrices_global,train_synteny_matrices_local,train_branch_length_species,train_branch_length_homology_species,train_mean_gene_length,train_dist_p_s,train_dist_p_hs,train_distance,train_labels):
-    graph,saver=create_model()
-    synmg,synml,bls,blhs,gl,dps,dphs,dis,lr,y=graph.get_collection("input_nodes")
-    loss,t_op,accuracy,init=graph.get_collection("output_nodes")
-    with tf.Session(graph=graph) as sess:
-        sess.run(init)
-        batch_size=64
-        num_epochs=30
-        learn=0.001
-        for j in range(num_epochs):
-            for i in range(50000//batch_size):
-                feed_dict={
-                    synmg:train_synteny_matrices_global[i*batch_size:(i+1)*batch_size],
-                    synml:train_synteny_matrices_local[i*batch_size:(i+1)*batch_size],
-                    bls:train_branch_length_species[i*batch_size:(i+1)*batch_size],
-                    blhs:train_branch_length_homology_species[i*batch_size:(i+1)*batch_size],
-                    gl:train_mean_gene_length[i*batch_size:(i+1)*batch_size].reshape((batch_size,1)),
-                    dps:train_dist_p_s[i*batch_size:(i+1)*batch_size].reshape((batch_size,1)),
-                    dphs:train_dist_p_hs[i*batch_size:(i+1)*batch_size].reshape((batch_size,1)),
-                    dis:train_distance[i*batch_size:(i+1)*batch_size].reshape((batch_size,1)),
-                    lr:learn,
-                    y:train_labels[i*batch_size:(i+1)*batch_size]
-                }
-                sess.run(t_op,feed_dict=feed_dict)
-
-            test_dict={
-                    synmg:train_synteny_matrices_global[-15000:],
-                    synml:train_synteny_matrices_local[-15000:],
-                    bls:train_branch_length_species[-15000:],
-                    blhs:train_branch_length_homology_species[-15000:],
-                    gl:train_mean_gene_length[-15000:].reshape((15000,1)),
-                    dps:train_dist_p_s[-15000:].reshape((15000,1)),
-                    dphs:train_dist_p_hs[-15000:].reshape((15000,1)),
-                    dis:train_distance[-15000:].reshape((15000,1)),
-                    y:train_labels[-15000:]
-                    }
-            accuracy_test,loss_test=sess.run([accuracy,loss],feed_dict=test_dict)
-            print("Epoch:{} Test Accuracy:{} Test Loss:{}".format(j+1,accuracy_test*100,loss_test))
-            learn*=0.97
-        saver.save(sess,"saved_models/model.ckpt")