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Formulate trained predictors in Gurobi models

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It should be indentical to sklearn's StandardScaling

Keras
Models

Bumps [torch](https://github.com/pytorch/pytorch) from 2.2.2 to 2.4.0. Release notes Sourced from torch's releases. PyTorch 2.4: Python 3.12, AOTInductor freezing, libuv backend for TCPStore PyTorch 2.4 Release Notes Highlights Tracked Regressions Backward...

dependencies
python

If in a pytorch layer no bias is provided, we errornously used the bias from the previous layer. We must use 0 bias instead. Added extend pytorch example thanks to...

safe to test

Hi, I have a PyTorch NN model with three 256 neuron linear hidden layers with `bias=True`, ReLU activation function between each layer and a 12-neuron linear output layer with `bias=False`....

I would like to have to have sigmoid activation function as my variable is a probability.so I just want to bound my variable output between 0 and 1. This will...

We can now use it to link to the new Gurobi documentation

The docs could use a bit of freshening: - WIth the rise of https://docs.gurobi.com/, we can also use intersphinx for gurobipy - Should find a place to link to webminars...

documentation