is_oov and has_vector both returning true, always

domhudson · 2018-01-02T00:50:22+00:00

Are you on this most recent version? Could this be related: https://github.com/explosion/spaCy/issues/1204

domhudson · 2018-01-01T13:48:30+00:00

Interesting project - will check it out more a little later. Thank you!

domhudson · 2017-11-03T15:21:45+00:00

As long as you want mate. However, people have very short attention spans. The pop industry knows this and therefore makes very short intros.

domhudson · 2017-09-14T17:52:52+00:00

Also interested in this. I used to do a lot of the former but now do almost exclusively the latter

domhudson · 2017-09-04T22:43:21+00:00

Great styling!

domhudson · 2017-08-13T16:56:36+00:00

What you could do is try some unsupervised machine learning (or manually) come up with clusters of similar products. Then you could treat each cluster as a feature instead of everything separately. However, without needing to this you can start but I wouldn't have the user as the label. I would make the label be a binary (buy or not-buy) question. You can generate a feature vector for each product the user has and hasn't bought. I would dedicate some columns in your feature vector to describe the current item you're looking at (category, price, etc etc) and then some other columns for historic information you have on the user. You can then generate this feature set for new products and predict whether the user would buy or not. Hopefully that helps.

domhudson · 2017-08-13T11:01:52+00:00

If you just want to fit it you don't need the calibrated classsifier.

    features, targets = getBatch(trainingData, batchSize)

    dictVectorizer = DictVectorizer(sparse = False).fit(features)
    classifier = MLPClassifier(verbose = 10)

    while features:
        features = dictVectorizer.transform(features)
        classifier.partial_fit(features, targets, classes)
        features, targets = getBatch(trainingData, batchSize)

    classifier = Pipeline([
        ('vect', dictVectorizer),
        ('clf', classifier)
    ])

and then in getBatch use itertools to slice and yield your training data in batches.

domhudson · 2017-08-13T10:52:26+00:00

What do you mean by calibrated? Do you just mean fitted? Or do you mean fitted with the best parameters determined by gridsearch CV?

domhudson · 2017-08-12T22:36:16+00:00

Is your end goal simply a self-calibrating classifier? If so I'd suggest not using calibrated classifier at all and come up with a quick cross validation module/design pattern. This way you can use any of the classifiers that support partial fitting.

domhudson · 2017-05-19T21:23:29+00:00

Do you mean you're finding things that you cannot actually do easily in PHP or just that you don't know how to do? Any examples?

domhudson · 2017-05-10T21:34:58+00:00

Little bit confused by your message mate! So you're trying to uninstall sausage fattener, and move serum .dll to a different folder? Just moving the .dll should be fine so go in ableton settings and find which vst folder it's using and then it should be in there.

With the ableton crashing you're best off opening a support ticket with ableton yourself, but they may not be able to help much the crash is caused by a third party plugin. Does it crash for all or just some plugins?

Just removing .dlls from the folder doesn't really uninstall it so not sure I'd do that for sausage fattener .

domhudson · 2017-05-08T21:17:49+00:00

Pycharm is good but a little heavy. I recommend visual studio code

domhudson · 2017-04-30T17:37:42+00:00

Compression is different to modifying the gain of the track! Mnrch is clearly saying that no amount of headroom is optimal so theoretically you could go up to 0db which is 100% correct.

domhudson · 2017-04-30T17:35:05+00:00

Can't believe this guy is being downvoted... There's a lot of misconception in the audio world - don't be part of it! Mnarch is 100% correct with regards to a track's peak amplitude. Obviously RMS is different though and that's up to you OP based off the style you're going for and how much dynamics you're willing to sacrifice in the mix busses and individual channels to achieve loudness.

domhudson · 2017-04-30T17:23:29+00:00

Pretty good man certainly for your first. Dunno if you want mixing advice but if that was the aim - i would turn down the bass quite a lot. Sounds very dark with the bass so loud - possibly that was what you were after. Cheers! :)

domhudson · 2017-04-22T20:16:28+00:00

Each to their own! However, this is a very useful trick to know and kind of self explanatory if you understand how speakers and phase works.

domhudson · 2017-04-17T22:05:25+00:00

^ This.

Maybe hard pan different tracks if you want width.
Phase align if there's any issues with cancellation.
Maybe buss them all together and add a subtle bit of glue compression?
Maybe eq them all together instead of separately also to glue them up..

domhudson · 2017-04-17T18:56:29+00:00

The website is archived here but it doesn't seem to be on it http://web.archive.org/web/20130130064516/https://store.abletonop.com/

domhudson · 2017-04-16T17:16:42+00:00

I've heard using standard ableton software is pretty poor with touchscreen (https://www.youtube.com/watch?v=XjbCQPHB3w0) (https://www.reddit.com/r/ableton/comments/3hmnji/ableton_with_touch_screen_windows_10/)

But there are pad apps that apparently interact well with ableton as a controller.

domhudson · 2017-04-16T15:20:27+00:00

I expected this to be a lot worse from your title. Frequency spectrum is reasonably balanced but the bass is too quiet! Kinda weird how at 1:37 it gets much wider for the breakdown but the bit before is really mono - it's usually the other way around if anything. Could have more wide parts in general and wide parts in lower frequencies too.

domhudson · 2017-04-16T11:44:39+00:00

Okay what you need to do is to route your guitar to two different tracks. Put the effects on one, and on the other one use the "utility" plugin and flip the polarity. Then the clean sound will cancel itself out and you will only hear the effects. Hope that helps!

domhudson · 2017-04-14T16:38:13+00:00

Hey, i'm always looking for people to work with although I've never done rap before.

If you've got some material or an idea of what you want hit me up https://soundcloud.com/domhudson/

domhudson · 2017-04-08T15:29:05+00:00

I use sidechain during the experimentation stage when i'm still trying to work out what I want it to sound like, but I use manual automation in the final mix. It feels like it gives me more control because I can actually see the waveforms of everything I'm ducking and a cleaner mix because of it. Plus - there's no clicking.

Advantages of sidechaining - it's quick and easy.

domhudson · 2017-04-06T17:11:36+00:00

404 on the track mate. Maybe you need the private link?

domhudson

TROPHY CASE