load Weka model in web application - web

I have created and saved weka model that predicts disease according to the symptoms. So i want to integrate that model to a web application. The model should be accessed from the web app. That means user enters the symptoms from the web app and model should predict the result. How to do this. Is there any way to use saved weka model as API?

I could not find a good documentation for the Java API, but I did find some examples of using it in Java. This link will unfortunately be broken soon as it looks like wikispaces is closing down.

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Getting started with the Acumatica API

I'd like to get started with the Acumatica API using VB.net. Is there a good place where I can find a tutorial or sample code? Thanks...
You can go to the Acumatica.com/developers page and find training and examples.
The link for training is here:
https://www.acumatica.com/acumatica-developer-training/
There is a set of training related to Web Services / API on this page.

Exporting tags from Custom Vision

I am using the Azure Custom Vision service (customvision.ai) for data labelling. It works well for automatically labelling data.
I want to use this data for a custom neural network, so I want to download the tags. Is there a way to download the tags, either from the GUI or API?
The closest thing I have found is the GetTaggedImages API request (https://southcentralus.dev.cognitive.microsoft.com/docs/services/Custom_Vision_Training_3.2/operations/5dddfe4dc8d30b100855c60c).
Thanks!
If you want to get all tags for a given project and iteration., I would recommend you use API directly. There is a GetTags API can help with this, pleae check the following API reference:
https://southcentralus.dev.cognitive.microsoft.com/docs/services/Custom_Vision_Training_3.2/operations/5dddfe4ec8d30b100855c626

How do I deploy my chatbot model on google assistant?

I have developed my chatbot in PyTorch framework for college purposes. The model is working fine with log loss value of 0.5 and is able to answer questions appropriately. I have seen few productionization suggestions like fast.ai, flask and Django. But I want the model to be deployed on Google Assistant so that my end users can utilize the service of bot without any external installations. How do I have to integrate my PyTorch model to the Google Assistant on Dialogflow ?
Google has published a series of Codelabs to help developers start building actions for the Google Assistant. Each module can be taken standalone or in a learning sequence with other modules.
In each module, the codelabs provide you with end-to-end instructions on how to build Actions from given software requirements and how to test your code. They also teach the necessary concepts and best practices for implementing Actions that give users high-quality conversational experiences.
You can start here.

Launch Tool is missing in IBM Watson Natural understanding when creating custom model

I am facing a weird issue. I am trying to create a custom model in IBM Watson natural language understanding with lite plan.No launch tool option is shown to create custom model. To be clear, ideallly the page should be like this as described in all the tutorials,
But What I am getting is
I tried all possibilities there is no way to navigate to the annotator tool page. Please somebody help
Your first pic looks Watson Knowledge Studio. Watson Knowledge Studio is a different service you can also create IBM Cloud Catalog. Please check it.
https://www.ibm.com/watson/services/knowledge-studio/

Kohana sample CRUD application

I'm completely new to this framework and I'm trying to find some sample CRUD application to get started with Kohana 3.
There is a tutorial and information in the unofficial Kohana 3 Wiki (http://kerkness.ca/wiki/doku.php), but even there, there are some aspects that are not covered (the model, validation, etc).
You might find the example code hosted on shadowhand's github repo useful. It provides the code for a complete website and there are other projects for Kohana3 hosted on github that you should be able to locate without too much trouble that you might find useful.

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