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Type:
New Feature
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Status: In Progress
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Priority:
Major
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Resolution: Unresolved
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Affects Version/s: None
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Fix Version/s: SystemML 1.1
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Component/s: Algorithms
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Labels:
Main paper: https://papers.nips.cc/paper/4522-practical-bayesian-optimization-of-machine-learning-algorithms.pdf
supplements:
- selecting the next point to evaluate Jasper
- sobol sequence generator P Bratley, BL Fox
- Handling Sparsity via the Horseshoe Carlos M. Carvalho
Design document: http://www.bit.do/systemml-bayesian
- Is contained by
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SYSTEMDS-1973 Optimization of parameters, Hyperparameters, and testing.
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- In Progress
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- relates to
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SYSTEMDS-1159 Enable Remote Hyperparameter Tuning
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- Open
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1.
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Add XOR built in operator |
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Resolved | Janardhan | ||||||||
2.
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Implemenation of Mode finding for Gaussian Process |
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Resolved | Janardhan | ||||||||
3.
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Implementation of Sobol quasi random sequence generator |
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In Progress | Janardhan |
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4.
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Implementation of Gaussian Process Classification |
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Open | Unassigned | ||||||||
5.
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Implementation of Gaussian Process Regression |
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In Progress | Janardhan |
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6.
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Implementation of Surrogate data slice sampling |
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In Progress | Janardhan | ||||||||
7.
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Implementation of Bayesian module |
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In Progress | Janardhan | ||||||||
8.
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implement acquistion functions for different scenarios |
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Open | Unassigned | ||||||||
9.
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Implement covariance kernels |
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Resolved | Janardhan | ||||||||
10.
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Addition of parallel monte carlo acquisition function |
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Open | Unassigned |
