如何理解张量流预测？

原文标题 ：How to understand tensorflow predictions?

我从 youtube 开始学习 tensorflow：https://www.youtube.com/watch?v=Cq_P8kJgjvI&t=1808s

最后一个关于预测的代码是这样的：

第一的：

print(df_test_new.iloc[0])
print('prediction')
print(predictions[0])

结果：

age                              25
workclass                   Private
fnlwgt                       226802
education                      11th
education_num                     7
marital               Never-married
occupation        Machine-op-inspct
relationship              Own-child
race                          Black
sex                            Male
capital_gain                      0
capital_loss                      0
hours_week                       40
native_country        United-States
label                             0
new                             625
Name: 0, dtype: object
prediction
{
  'logits': array([-954.60187], dtype=float32), 
  'logistic': array([0.], dtype=float32), 
  'probabilities': array([1., 0.], dtype=float32), 
  'class_ids': array([0]), 
  'classes': array([b'0'], dtype=object), 
  'all_class_ids': array([0, 1], dtype=int32), 
  'all_classes': array([b'0', b'1'], dtype=object)
}

这是在数组索引 3 中

print(df_test_new.iloc[3])
print('prediction:')
print(predictions[3])

这是打印结果：

age                               44
workclass                    Private
fnlwgt                        160323
education               Some-college
education_num                     10
marital           Married-civ-spouse
occupation         Machine-op-inspct
relationship                 Husband
race                           Black
sex                             Male
capital_gain                    7688
capital_loss                       0
hours_week                        40
native_country         United-States
label                              1
new                             1936
Name: 3, dtype: object

prediction:

{
   'logits': array([1222.3406], dtype=float32), 
   'logistic': array([1.], dtype=float32), 
   'probabilities': array([0., 1.], dtype=float32), 
   'class_ids': array([1]), 
   'classes': array([b'1'], dtype=object), 
   'all_class_ids': array([0, 1], dtype=int32), 
   'all_classes': array([b'0', b'1'], dtype=object)
}

我仍然不明白 tensorflow 中的预测含义，请帮助我理解它。