Dataset is not available

[yoavst]

Where is the full dataset stored?

[pkumza]

Highly suggest you to try LiteRadar, a lite version of LibRadar that with no compromise to library number.

Or try online detecting

As github only accepts files that less than 100MB, I could only upload a small set of data as dataset

The latest dataset(of more than 2,400,000 apps) has reached 4.4GB, that I can't afford a fast CDN. I've upload a 2.5GB dataset (of 1 million apps) to Baiduyun, but I am not sure about your network speed to China.

[yoavst]

Thank for your answer!

[yoavst]

Just a small question @pkumza , What is the difference between the full and lite one?

[pkumza]

Please check issue 1 of LiteRadar.😃

On 06/15/2017 19:29, Yoav Sternberg wrote:

Just a small question @pkumza , What is the difference between the full and lite one?

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

[yoavst]

Sorry for interrupting you, but it seems almost impossible to download anything from Baidu if you are not Chinese. Can you please upload it to something more international?

Thanks again!

[pkumza]

Size-optimized dataset is available at https://www.dropbox.com/s/w31gig6msdo3cdy/dump-20170515-shrink.rdb.tar.gz?dl=0

See docs/QuickStart.md for detailed installation steps.

[yoavst]

I'm running LibRadar with the full dataset from dropbox and it returns empty data [].LiteRadar works. Any idea?

[pkumza]

Please check that if you are using the latest version first. The features I use is different in recent commits.

[yoavst]

Repo is up to date.

[pkumza]

Interesting... I've tried again and the shrink data works well.

---

As you are using Redis, you must have installed redis-cli. try it!

$ redis-cli
127.0.0.1:6379> select 2
OK
127.0.0.1:6379[2]> keys *
1) "un_ob_pn"
2) "feature_weight"
3) "un_ob_cnt"
4) "feature_cnt"

Please check if your output is just the same.

[yoavst]

127.0.0.1:6379[2]> keys *
1) "feature_cnt"
2) "feature_weight"
3) "un_ob_pn"
4) "un_ob_cnt"

[pkumza]

Oh yes, your redis works well too. =_=

[pkumza]

Sorry, I've no idea what happened to LibRadar.

I'll test the steps of my QuickStart.md in a purely new machine soon. And I'd better create a docker image for LibRadar latter.

[yoavst]

Thanks!

[pkumza]

I've checked a pure environment and it works well too.

I got a reason that Redis needs several seconds to listen a port as the database is large. How about checking DB settings in _settings.py and trying it again?

---

btw, my testing env is Ubuntu 16.04 64-bit

[yoavst]

The settings seems OK. I'm running it on latest OS X.

[yoavst]

Seems to be an OS X problem, works great on Ubuntu VM.

[pkumza]

LibRadar is deployed on Linux now. However it is always developed on OS X. 🙉 It works well on my Mac too. 🐵 There's gotta be something wrong with your macOS Env. 🙈

[AlexKoshulyan]

The link https://www.dropbox.com/s/w31gig6msdo3cdy/dump-20170515-shrink.rdb.tar.gz?dl=0 is broken by now.

[pkumza]

@AlexKoshulyan Yes, it is broken. Could you have a try for https://www.dropbox.com/s/ljtzw74twt8xgy6/d.tar.gz?dl=0 ?

[AlexKoshulyan]

Fine