eval_batch_sz = 3000
offset = 0
while offset < training_ins_sz:
if i % 50 == 0:
sys.stdout.write("Evaluating minibatches:")
eval_offset = 0
eval_res = []
eval_label = []
j = 0
while eval_offset < eval_ins_sz:
[_eval_label, _eval_ins] = data_helper.get_eval_ins(eval_batch_sz,eval_offset)
eval_feed_dict = { y : _eval_label }
for k in range(len(x)):
eval_feed_dict[x[k]] = _eval_ins[k]
_eval_res = sess.run(output, feed_dict = eval_feed_dict)
eval_offset += eval_batch_sz
eval_res.extend(_eval_res)
eval_label.extend(_eval_label)
sys.stdout.write(" %d" % j)
sys.stdout.flush()
j += 1
eval_auc(eval_res, eval_label)
offset = 0
while offset < training_ins_sz:
if i % 50 == 0:
sys.stdout.write("Evaluating minibatches:")
eval_offset = 0
eval_res = []
eval_label = []
j = 0
while eval_offset < eval_ins_sz:
[_eval_label,
_eval_ins] = data_helper.get_eval_ins(
eval_batch_sz, eval_offset)
eval_feed_dict = {y: _eval_label}
for k in range(len(x)):
eval_feed_dict[x[k]] = _eval_ins[k]
_eval_res = sess.run(output,
feed_dict=eval_feed_dict)
eval_offset += eval_batch_sz
eval_res.extend(_eval_res)
eval_label.extend(_eval_label)
sys.stdout.write(" %d" % j)
sys.stdout.flush()
j += 1
eval_auc(eval_res, eval_label)
