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MVP planning #1

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odow opened this issue May 16, 2024 · 1 comment
Closed

MVP planning #1

odow opened this issue May 16, 2024 · 1 comment

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@odow
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odow commented May 16, 2024

Problem description

  • CNNs
  • ReLU, maybe tanh, etc
  • Regression and decision trees
  • Gradient boosted trees

Use cases

  • Chance-constrained PF
  • Gas networks
  • MIP Verification

Gaussian processes

https://arxiv.org/pdf/2310.00763

y = f(x)
l <= y <= u
a = mu(x)
b = Sigma(x)
P(N(a, b) <= u) <= eps
P(N(a, b) >= l) <= eps

Classification problems

Operating point stability

f(x) == true

Inputs

  • ONNX (e.g., from Python)
  • Some existing code for GP fitting in Julia

Outputs

  • Modify an existing model
  • Single vector x and a single vector output
ml_object = jump_ml.build_ml_model(model, x, y, data)

Potential users

Deep, Harsha, Saif

Other stuff

@odow
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odow commented Jun 10, 2024

Closing this in favor of specific issues

@odow odow closed this as completed Jun 10, 2024
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