Hi Awhan,
Sparse support in random forest is currently under code review. You can
pull in the branch locally. See
https://github.com/scikit-learn/scikit-learn/pull/3173
On 15 June 2014 22:40, Awhan Patnaik wrote:
> Hello all,
>
> 2 class classification problem. 13 features - mostly categorical
Hello all,
2 class classification problem. 13 features - mostly categorical. Some
features have 2000, 700 etc different values. So a 1-of-N encoding
transform expands the data set up to 4.5k features. Data has around
1.5 million samples.
On trying to transform the data using DictVectorizer(sparse
