contextualise | effective tool | Graph Database library
kandi X-RAY | contextualise Summary
kandi X-RAY | contextualise Summary
Contextualise is a simple but effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources
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Top functions reviewed by kandi - BETA
- Create a Flask application
- Get the topic store
- View the topic map
- Get all association groups
- Check if a topic exists
- Edit a topic map
- Create a topic
- Create a new association
- Edit an entity
- Add an entity
- Edit a specific note
- Convert a note
- Add a new note
- Upload a file to a map
- Add an attribute
- Delete an entity
- Edit a topic name
- Get the network
- Add a new name to the map
- Render an entity index
- Delete a note
- Attach a note to a map
- Delete a topic
- Change the scope of a topic
contextualise Key Features
contextualise Examples and Code Snippets
Community Discussions
Trending Discussions on contextualise
QUESTION
In my custom plugin's php, trying to call the core wordpress function username_exists() throws a 500 error which I think is caused by that function not being defined.
The line in my code that is failing is:
...ANSWER
Answered 2020-Aug-25 at 13:09Instead of running raw PHP code, it is really a best practice to run your code in the context of WordPress. WordPress has many APIs available and for a JavaScript-based call the REST is probably the best choice.
Below is really simple code that registers a REST route and tests the supplied parameter against the core username_exists function. I've included inline comments which should explain everything, but once you remove those and collapse some whitespace, you'll see it is only 20 lines or so of code.
QUESTION
I have a Google Assistant action with fulfilment through Firebase Cloud Functions. I understand that Cloud Functions may share instances between invocations, and that you can use the Global scope to do heavy lifting and preparation. My function instantiates a global class that has serialised some JSON and handles returning data and other tasks in my function. I have variables in this class that are set when the function is called, and I have been careful to make sure that the variables are all set using the conv.data session data object that is unique to the current conversation. The hope is that although the class instance may exist between different invocations, and possibly by different users, it will still be contextualised to the local scope, and I wont see any variables being overwritten by other sessions.
Which brings me to the question, which is, how can I test this? I have tried to test on my mobile device using the Google Assistant app, at the same time as testing in the browser console. I witnessed the two sessions getting merged together, and it was an unholy mess, but I am not sure if that was the global scope, or just that I was testing two sessions with the same user account.
Can anyone enlighten me on whether it is possible to run two of the same action using the same user account? It looked like the conv.data object had a mix of the two different sessions I was running which suggests it was using the same conversation token for both sessions.
Another question would be, do you think using a global class to store state across invocations is going to be an issue with different users? The docs do state that only one invocation of the function can ever happen at a time. So there shouldn't be any race condition type scenarios.
...ANSWER
Answered 2020-Mar-12 at 22:09Dialogflow should keep the data in conv.data isolated to a single session, even sessions from the same user. When you're using Dialogflow, this data is stored in a Context, which is session specific.
You can verify this by turning StackDriver logging on, which will let you examine the exact request and response that Dialogflow is using with your fulfillment, and this will include the session ID for tracking. (And if you think it is mixing the two, posting the request and response details would help figure out what is going on.)
Very roughly, it sounds like you're getting something mixed into your global, or possibly something set in one session that isn't cleared or overwritten by a different one. Again - seeing the exact requests and responses should help you (and/or us) figure that out.
My attitude is that a global such as this should be treated as read-only. If you want to have some environment object that contains the relevant information for just this session - I'd keep that separate, just from a philosophical design.
Certainly I wouldn't use this global state to store information between sessions. While a function will only be invoked, I'm not sure how that would work with Promises - which you'll need once you start any async operations. It also runs the risk that subsequent invocations might be on different instances.
My approach, in short, (which I make pretty firm in multivocal):
- Store all state in a Context (which
conv.datashould so). - Access this via the
request,conv, or some other request-specific object that you create. - Global information / configuration should be read-only.
QUESTION
I'm looking into using a pretrained BERT ('bert-base-uncased') model to extract contextualised word-level encodings from a bunch sentences.
Wordpiece tokenisation breaks down some of the words in my input into subword units. Possibly a trivial question, but I was wondering what would be the most sensible way to combine output encodings for subword tokens into word-level encodings.
Is averaging subword encodings a reasonable way to go? If not, is there any better alternative?
...ANSWER
Answered 2020-Jan-29 at 10:27Intuitively, your problem seems similar to "how to get a good sentence representation", with the exception that these days you could also use a classification token of a sentence to get a sentence representation in most transformer-based models. Such token is not available for token-level representations, though.
In your case, I think there are a few options but from what I've seen, people most often use either an average or a max value. In other words: take the average of your subword units, or take the max values. Averaging is the most intuitive place to start, in my opinion.
Note that averages are only just that, an average over a sequence. This implies that it is not super accurate (one high and one low value will have the same mean as two medium values), but it's probably the most straightforward.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install contextualise
You can use contextualise like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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