Kazuki Taniguchi kazk1018

## make_sequence_example.py
def make_sequence_record(qid, relevances, features):
  context_feature = {"qid": _int64_feature(qid)}

  feature_list = dict()
  feature_list["relevance"] = tf.train.FeatureList(
    feature=[tf.train.Feature(float_list=tf.train.FloatList(value=[x])) for x in relevances]
  )
  feature_list["feature"] = tf.train.FeatureList(
    feature=[tf.train.Feature(float_list=tf.train.FloatList(value=feature)) for feature in features]
  )

## tfdv_example.ipynb

      
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                kazk1018
                / tfdv_example.ipynb
            
            
              Created
              December 10, 2018 10:33
            
          
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## multiprocessing_counter.py
def counter(q, v, lock):
    while True:
        line = q.get()

        if line is None:
            return

        time.sleep(0.5)

        with lock:
	def make_sequence_record(qid, relevances, features):
	context_feature = {"qid": _int64_feature(qid)}

	feature_list = dict()
	feature_list["relevance"] = tf.train.FeatureList(
	feature=[tf.train.Feature(float_list=tf.train.FloatList(value=[x])) for x in relevances]
	)
	feature_list["feature"] = tf.train.FeatureList(
	feature=[tf.train.Feature(float_list=tf.train.FloatList(value=feature)) for feature in features]
	)
	def counter(q, v, lock):
	while True:
	line = q.get()

	if line is None:
	return

	time.sleep(0.5)

	with lock: