backend

Introduction I would like to implement a custom loss function to Keras. I want to do this, because I am not happy with the current result for my dataset. I think the reason for this is because currently the built-in loss functions focuses on the whole dataset. And I just want to focus on the top values in my dataset. That is why I came up with the following idea for a custom loss function: Custom Loss Function Idea The custom loss function should take the top 4 predictions with the highest value and subtract it with the corresponding true value. Then take the absolute value from this

I am new using Docker, and I got the doubt of using one image base for my stack or I have to define each image depending on my needs. For example, reading a blog about creating a website using docker the author suggests the following Stack: Image taken from http://project-webdev.blogspot.de/2015/05/create-site-based-on-docker-part4-docker-container-architecture.html Now, seen the structure, If we have base images in the Docker registry for technologies as mongoDB, io.JS, nginx, Why on this examples we do not use those images insted of using a single Docker base image for everything? I'm the

By using the -fdump-tree-* flag , one can dump some intermediate format file during compilation of a source code file. My question is if one can use that intermediate file as an input to gcc to get the final object file. I'm asking this because I want to add some code to the intermediate file of the gimple (obtained by using the flag -fdump-tree-gimple ) format. Sure I can use hooks and add my own pass, but I don't want to get to that level of complexity yet. I just want to give gcc my modified intermediate file, so it can start its compilation from there and give me the final object file. Any

In woocommerce I am trying to add a custom order note in the admin order edit pages through php (so programmatically). I haven't find the way yet. Any help will be appreciated. From a dynamic Order Id you can use WC_Order add_order_note() method this way: // If you don't have the WC_Order object (from a dynamic $order_id) $order = wc_get_order( $order_id ); // The text for the note $note = __("This is my note's text…"); // Add the note $order->add_order_note( $note ); Tested and works. Thank you guys I was trying to find a way to add the notes to a new order. I was looking for the right hook

EDIT: If I explicity change the backend for matplotlib from 'Qt4Agg' to just 'Agg' then I am able to run my code with no errors. I assume this is a bug in the backend? I am writing some code for processing a fairly large amount of data automatically. The code first of all parses my data files and stores all of the relevant bits. I then have different functions for producing each of the graphs I need (there are about 25 in all). However, I keep running into some kind of memory error and I think it is because Matplotlib / PyPlot are not releasing the memory correctly. Each plotting function ends

I'm doing some "extra" queries in Django that need to work on both sqlite and postgres. The syntax of these queries varies between backend but I have no way of figuring out if I'm sending my queries to either postgres or sqlite. Is there a way to get the current database adapter so I can branch my code and send the right query for the active database server? OK, so there's two ways of doing it, as @Ricola3D said there's the option of checking settings.DATABASES['default']['ENGINE'] : >>> from django.conf import settings >>> settings.DATABASES['default']['ENGINE'] 'django.db.backends.sqlite3'

I'm working with django 1.6.5 and python 2.7. I have import feature in my app and I get error: OSError: [Errno 18] Invalid cross-device link I have problem with this part of code: os.rename(db_temp, settings.DATABASES['bookmat']['NAME']) code in settings: 'bookmat': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': '/my_projects/book/db/bookmat.sqlite3', }, os.rename only works if source and destination are on the same file system. You should use shutil.move instead. I think rename only works when the source and target names are on the same file system. You probably have different mounts.