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View Code? Open in Web Editor NEWMachine learning in data space web demo
Home Page: https://skdata.space/
License: BSD 3-Clause "New" or "Revised" License
Machine learning in data space web demo
Home Page: https://skdata.space/
License: BSD 3-Clause "New" or "Revised" License
Add logistic regression hyperparams and help text
Right now the server sends back a 400 with a message body that says what went wrong. However, D3.json cannot read the error body. We should send back a JSON response with error in it that d3 understands so we can have better alerts.
The original svm_gui.py
used a contour map to display the decision space (at least for SVM). Potentially we could do something similar with D3:
https://observablehq.com/@d3/contours?collection=@d3/d3-contour
We need a favicon!
A short tutorial. I imagine if it is the person's first visit, an automated tutorial goes through a step-by-step sequence of how to visualize the model
Add SVM form hyperparms and help text.
Have a spinner appear and disable the form during fit so multiple fit calls don't spam the server and confuse the user.
Add k nearest neighbors hyperparams and help text
Right now we are fetching dependencies from the CDN - which is great; less hosting on our part! We should cache what we have locally though just in case for the future.
In the LogisticRegression form, when fit_intercept
is False, disableintercept_scaling
.
Use yellowbrick to generate a classification report, confusion matrix, precision-recall curve, etc. and send them as base64 encoded data for display in the dataspace.
Add multilayer @perceptron hyperparams and help text
Update the Naive Bayes modal with help text.
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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A server is a program made to process requests and deliver data to clients.
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