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Newnius
2020-04-29 18:59:40 +08:00
parent c11466c958
commit 8fbce50cf8
3 changed files with 9 additions and 9 deletions
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model/model_tensorflow.py
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@@ -76,19 +76,19 @@ def train(config, train_X, train_Y, valid_X, valid_Y):
if bad_epoch >= config.patience:
print(" The training stops early in epoch {}".format(epoch))
break
return model
def predict(config, test_X):
def predict(config, test_X, model):
config.dropout_rate = 0.1
tf.reset_default_graph()
with tf.variable_scope("stock_predict", reuse=tf.AUTO_REUSE):
model = Model(config)
#with tf.variable_scope("stock_predict", reuse=tf.AUTO_REUSE):
# model = Model(config)
test_len = len(test_X)
with tf.Session() as sess:
module_file = tf.train.latest_checkpoint(config.model_save_path)
model.saver.restore(sess, module_file)
#module_file = tf.train.latest_checkpoint(config.model_save_path)
#model.saver.restore(sess, module_file)
result = np.zeros((test_len * config.time_step, config.output_size))
for step in range(test_len):