Skip to content
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions README.rdoc
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@ There are other ruby machine learning libraries out there:
* More?

So why another one?
* You can install it and try it in irb right away. You don't need to learn how a half-dozen classes work to get started:
* You can install it and try it on irb right away. You do not need to learn how a half-dozen classes work to get started:
c = Decider.classifier(:spam, :ham)
c.spam << "some spammy text"
c.ham << "some hammy goodness"
Expand Down Expand Up @@ -50,4 +50,4 @@ Decider has several benchmarks that also double as integration tests. These are

Decider does a lot of math and is fairly computationally intensive, so you want all the extra speed you can get. It is regularly tested with Ruby 1.9 and Jruby. I highly recommend using one of these Ruby implementations if at all possible if you plan on doing anything serious with Decider.

Also keep in mind that your dataset should reside entirely in memory or else you'll hit a brick wall.
Also keep in mind that your dataset should reside entirely in memory or else you'll hit a brick wall.