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Revert "Added Dense and Conv BatchEnsemble layers along with unit tests and example on MNIST classification using LeNet5" #14

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Merged
merged 1 commit into from
Sep 7, 2021
Merged

Revert "Added Dense and Conv BatchEnsemble layers along with unit tests and example on MNIST classification using LeNet5" #14

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1 change: 0 additions & 1 deletion Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,6 @@ Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
ReliabilityDiagrams = "e5f51471-6270-49e4-a15a-f1cfbff4f856"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[compat]
julia = "1"
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207 changes: 0 additions & 207 deletions examples/batchensemble.jl
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7 changes: 0 additions & 7 deletions src/DeepUncertainty.jl
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@@ -1,17 +1,10 @@
module DeepUncertainty

using Flux
using Random
using Flux: @functor, glorot_normal, create_bias

# Export layers
export MCLayer, MCDense, MCConv
export DenseBatchEnsemble, ConvBatchEnsemble
export mean_loglikelihood, brier_score, ExpectedCalibrationError, prediction_metrics

include("metrics.jl")
include("layers/mclayers.jl")
include("layers/BatchEnsemble/dense.jl")
include("layers/BatchEnsemble/conv.jl")

end
145 changes: 0 additions & 145 deletions src/layers/BatchEnsemble/conv.jl
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