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Investigate different classifiers that optimize AUC directly instead of some surrogate .
I'm aware of the following classifiers that support AUC optimization::
- Ranking SVM (e.g. svmlight or Fabian'…
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### Introduction
`test_tSP_opt_nograd` in `tests/test_surrogates.py` seems to be flaky when all seed-setting code (e.g. `np.random.seed(0)` or `tf.random.set_seed(0)`) is commented out.
In commit…
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* **What is the current behavior?**
Problems are formulated using the MOProblem class.
* **Describe the solution you'd like**
Problem formulations should be represented as JSON objects. They can be r…
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Hey @sgbaird!
This repo is super cool! It is great to see Ax is useful for these optimization problems.
In the interest of lightweight R&D, it would be awesome if this repo had multi-fidelity su…
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**Week 1**
1. Introduction to surrogate modeling
- Operational Energy / Embodied Energy
3. Modeling Atlanta metro area - take upto half a year
**Week 2**
1. Set up the sub teams - Energy…
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Hi Openbox,
I have two quick questions that would really appreciate if you guys could help me better understand.
1. For the random forest surrogate model, what is the method that openbox use to …
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Hi,
I have a multiobjective (2 objectives) optimization problem that works with pymoo, I solve a 2 constraints with 5 variables to vary (some are floats, some are ints) with a MixedVariableGA() algor…
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Continuous Life calc
PIQ
Fair Allocation
Econ Data vs Future contract
Optimized Portflio weights
http://www.academia.edu/23340430/Options_Futures_and_Other_Derivatives_9th_Edition_by_John_C._Hu…
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Hi Shuai Guo,
I came here from your active learning post on Towardsdatascience. Super cool post and thanks for sharing!
You showed an example of active learning for univariable function (F(x)) but I…
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See #1695.
Experiment for string intern changes: #1698.