Closed re4lvanshsingh closed 7 months ago
@re4lvanshsingh assign this issue to me
@HavokSahil Sure. Assigned.
@re4lvanshsingh I didn't found any way to load scikit learn model into javascript, it's available only for tensorflow. So I manually coded all the computation steps.
@HavokSahil Merged
To integrate a machine learning (ML) model into an HTML web page to predict values, you can follow these general steps:
1) Train and Export the Model:
Train your machine learning model using a suitable framework like TensorFlow or scikit-learn. Once trained, export the model in a format that can be used in a web environment. Common formats include TensorFlow.js for TensorFlow models or a serialized format like pickle for scikit-learn models.
2) Create HTML Interface:
Design a simple HTML form that collects input data from the user. This form will be used to provide input for prediction. Integrate JavaScript for Model Inference:
Use JavaScript to handle form submission and perform model inference. You can use TensorFlow.js if you're working with TensorFlow models or other JavaScript libraries for other frameworks.
Load the pre-trained model in the browser and use it to make predictions based on the user's input.