我有sql server脚本,需要将其转换为Redshift
这是我遇到问题的代码的一部分
`z_ =tf.placeholder(tf.float32, [None])
z1 = z_
y_conv=tf.nn.softmax(logits)
#training_loop
for i in range(FLAGS.training_step):`
batch = data_sets.train.next_batch(FLAGS.batch_size)
optimizer.run(feed_dict = {x: batch[0], y_: batch[1]})
if(i%100 ==0):
train_accuracy = accuracy.eval(feed_dict= {x: batch[0], y_:
batch[1]})
test_accuracy = y_conv.eval(feed_dict= {x:
data_sets.test.MC_Samples})
x_test_label= z1.eval(feed_dict= {z_:data_sets.test.labels})
print("print_result")
print(x_test_label)
print(test_accuracy)`
如何将其正确转换为Redshift?
答案 0 :(得分:5)
IIF
只是CASE
表达式的语法糖(此行为在文档中已提及)。您的代码与以下代码相同:
CASE WHEN smf.channelid IS NULL THEN 0 ELSE 1 END AS IsFeatureKey,
CASE WHEN codeLabel.CslId > 0 THEN 1 ELSE 0 END AS IsCslCode,
CASE WHEN codeLabel.LearnId > 0 THEN 1 ELSE 0 END AS IsLearnCode,
CASE WHEN codeLabel.PMId > 0 THEN 1 ELSE 0 END AS IsPMCode,
CASE WHEN codeLabel.UpSell > 0 THEN 1 ELSE 0 END AS IsUpSell