Thanks Xiangrui. You have solved almost all my problems :)
On Wed, Jul 9, 2014 at 1:47 AM, Xiangrui Meng wrote:
> 1) The feature dimension should be a fixed number before you run
> NaiveBayes. If you use bag of words, you need to handle the
> word-to-index dictionary by yourself. You can either
1) The feature dimension should be a fixed number before you run
NaiveBayes. If you use bag of words, you need to handle the
word-to-index dictionary by yourself. You can either ignore the words
that never appear in training (because they have no effect in
prediction), or use hashing to randomly pr
I am really sorry. Its actually my mistake. My problem 2 is wrong because
using a single feature is a senseless thing. Sorry for the inconvenience.
But still I will be waiting for the solutions for problem 1 and 3.
Thanks,
On Tue, Jul 8, 2014 at 12:14 PM, Rahul Bhojwani wrote:
> Hello,
>
> I a
Hello,
I am a novice.I want to classify the text into two classes. For this
purpose I want to use Naive Bayes model. I am using Python for it.
Here are the problems I am facing:
*Problem 1:* I wanted to use all words as features for the bag of words
model. Which means my features will be count
