import tensorflow as tf
array = tf.Variable(tf.random_normal([10]))
i = tf.constant(0)
l = []
def cond(i,l):
return i < 10
def body(i,l):
temp = tf.gather(array,i)
l.append(temp)
return i+1,l
index,list_vals = tf.while_loop(cond, body, [i,l])
我想以与上面代码中描述的类似方式处理张量数组.在while循环的主体中,我想逐个元素地处理数组以应用一些函数.为了演示,我给了一个小代码片段.但是,它给出了如下错误消息.
ValueError: Number of inputs and outputs of body must match loop_vars: 1, 2
任何帮助解决这个问题表示赞赏.
谢谢
我需要一些使用R进行数据清理的帮助.我的CSV文件如下所示.
"id","gender","age","category1","category2","category3","category4","category5","category6","category7","category8","category9","category10"
1,"Male",22,"movies","music","travel","cloths","grocery",,,,,
2,"Male",28,"travel","books","movies",,,,,,,
3,"Female",27,"rent","fuel","grocery","cloths",,,,,,
4,"Female",22,"rent","grocery","travel","movies","cloths",,,,,
5,"Female",22,"rent","online-shopping","utiliy",,,,,,,
我需要重新格式化如下.
id gender age category rank
1 Male 22 movies 1
1 Male 22 music 2
1 Male 22 travel 3
1 Male 22 cloths 4
1 Male 22 grocery 5
1 Male 22 books NA
1 Male 22 rent NA
1 Male 22 fuel NA
1 Male 22 utility NA
1 Male 22 online-shopping NA
...................................
5 Female 22 movies NA
5 Female 22 music NA
5 Female 22 travel NA
5 …