its-ogawa

Results 22 comments of its-ogawa

@seafoodbuffet Your suggestion is very nice. I restarted elasticsearch after changing elasticsearch.yml, but But that did not solve the problem in my environment. The situation continues to be "cluster health:...

I encountered the following error the moment I tried to start elasticsearch-head. ```` # npm run start > [email protected] start /usr/local/elastic/es-head/elasticsearch-head > grunt server Running "connect:server" (connect) task Waiting forever......

I'm very interested in that issue as well. You can't treat numbers as features, but features can be used to set up categorical variables that characterize users and items. It...

I solved @cdash04's question as follows ``` item_features = ['Action', 'Adventure', 'Animation', ... snip ... ] items_features = ((1, ('Animation', ('Children's', 'Comedy')), (2, ('Adventure', 'Children's', 'Fantasy')), ... snip ... )...

>Here is a link to the interesting documentation : particularly you will be interested in 'build_item_features' >https://making.lyst.com/lightfm/docs/examples/dataset.html The official documentation is very well organized. I refer to it as well....

@MchlUh Thank you for your comments. I tried changing from tuples to lists, but unfortunately I did not get the expected result. (The result is the same) However, I think...

@MchlUh Thank you for your comment. I do believe it is a good idea! In fact, I computed the quartiles and, depending on which range the quantitative variable is included...

@MchlUh @SimonCW Thank you for your interest in my question. @MchlUh The 8-dimensional vector here is It is the percentage of a user's classification into 8 characteristics (assuming that there...

It is not a correct solution, but I removed `use_amp` from the source code. That is, I commented it out and ran it. https://github.com/jonatasgrosman/huggingsound/blob/main/huggingsound/trainer.py ``` #if self.use_amp: # with torch.cuda.amp.autocast():...

Thanks for answering. What version of Transformer do you have? And how did you install it and how did you install it?