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Bayesian Optimization #31

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7 tasks
tacazares opened this issue Jun 15, 2021 · 0 comments
Open
7 tasks

Bayesian Optimization #31

tacazares opened this issue Jun 15, 2021 · 0 comments
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@FaizRizvi
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analysis Analysis request enhancement New feature or request
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@tacazares
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tacazares commented Jun 15, 2021 •
edited

We want to test out which model parameters are best for predicting TF binding

  • Kernel size
  • Filter number
  • Receptive Field
  • Output Resolution
  • Learning Rates
  • Activation function
  • Number of layers
@tacazares tacazares created this issue from a note in Publication Goals (To Do) Jun 15, 2021
@tacazares tacazares added analysis Analysis request enhancement New feature or request labels Jun 15, 2021
@tacazares tacazares changed the title ***Bayesian Optimization*** Bayesian Optimization Jun 15, 2021
FaizRizvi added a commit that referenced this issue Jun 18, 2021
@FaizRizvi
#31 bayopt additions
d013309
FaizRizvi added a commit that referenced this issue Jun 18, 2021
@FaizRizvi
#31 bayopt set_traces
2598221
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