Open devihall opened 1 month ago
Hey ml5 team! Just wondering if yall had a chance to look into this. Thanks so much for all your fantastic work on this library. @bomanimc @shiffman
Hi @devihall, my apologies! We're working to archive/deprecate this repo, the work of ml5.js is continuing in ml5-next-gen. The ml5.js library only provides a very basic defualt behavior for the tf.js visor, to expand the capabilities you likely need to work with tensorflow.js directly? We have a discord if you want to join and ask questions there! https://discord.gg/32X2smhx
Hi @devihall, my apologies! We're working to archive/deprecate this repo, the work of ml5.js is continuing in ml5-next-gen. The ml5.js library only provides a very basic defualt behavior for the tf.js visor, to expand the capabilities you likely need to work with tensorflow.js directly? We have a discord if you want to join and ask questions there! https://discord.gg/32X2smhx
@shiffman Thanks for your response! What happens to our app one this repo gets deprecated? we are using ml5 extensively
@shiffman Thanks for your response! What happens to our app one this repo gets deprecated? we are using ml5 extensively
This repo will remain online as well as all the existing and previous versions of ml5.js! Just make sure you are tagging a specific version of ml5 in your project rather than just @latest
.
The goal for the updated ml5.js "next generation" is to include any and all of the important and useful features of current ml5.js. What features and functions are you currently using for your work?
The one we have yet to re-implement is the "feature classifier" but that should be coming soon.
β Issue Description π
I noticed on the Github repo Confusion Matrix is commented out.
Is this not available yet?
Also do I need to initialize this property like I have done here?
β Step 2: Screenshots or Relevant Documentation πΌ
β Step 3: Share an example of the issue π¦
I'm trying to append the graphs to the DOM instead of using a visor and this is how I'm implementing this functionality.
Is this an appropriate way to achieve this?
Other relevant information, if applicable
β Describe your setup π¦