-
- [x] Blank slate
- [x] Create a GitHub repo called `what-to-watch`
- [x] Put a `README.md` file in it and create movie_lib.py to contain your classes
- [x] Normal mode
- [x] Decide on the data …
-
- [x] Blank slate
- [x] Create a GitHub repo called `what-to-watch`
- [x] Put a `README.md` file in it and create movie_lib.py to contain your classes
- [x] Normal mode
- [x] Decide on the data …
-
- [x] Blank slate
- [x] Create a GitHub repo called `what-to-watch`
- [x] Put a `README.md` file in it and create movie_lib.py to contain your classes
- [x] Normal mode
- [x] Decide on the data …
-
- [x] Blank slate
- [x] Create a GitHub repo called `what-to-watch`
- [x] Put a `README.md` file in it and create movie_lib.py to contain your classes
- [x] Normal mode
- [x] Decide on the data …
-
Hi @saulvargas,
I have found an interesting issue - if you use IntentModel with the caching option then e.g. xQuAD works waaaay longer than without caching - I assume with cache it should work faster…
-
Create several split examples
-
I've being doing some benchmarks comparing different serialization formats and how fast we can read from disk. The comparison includes numpy's fromfile, hdf5 and bcolz:
https://gist.github.com/monkey…
-
Hi, glad to encounter such a nice java RS project! I just have met some problems with the 1.2ver. code or dataset, and feel difficult to find out the cause.
I tried Movielens-1M and Ciao dataset, bot…
-
Hi all,
1) I was using this AMI: http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/ for cuda environment on a aws gx2.2xlarge instance.
2) after down…
-
Originally I thought the problem and solution were: `/pref`, `/ingest` endpoints instantiated on every request and open new Kafka producer each time. This ends up maxing out the number of concurrent K…