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authorScott Lawrence <scott+git@ineffectivetheory.com>2024-06-22 21:59:53 -0700
committerScott Lawrence <scott+git@ineffectivetheory.com>2024-06-22 21:59:53 -0700
commitfe6ca0140228bc45da14857566af86f72140f38c (patch)
tree8c68f8b8c561869c62ba5a92b8a39df906bd2e8a
parentcd972df86d691f9e514fca74651f12dae87b24f8 (diff)
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Progress toward MCMCHEADmain
-rw-r--r--src/Bayes.jl3
-rw-r--r--src/MonteCarlo.jl44
-rw-r--r--src/NeuralNetworks.jl41
-rw-r--r--src/Vatic.jl18
4 files changed, 103 insertions, 3 deletions
diff --git a/src/Bayes.jl b/src/Bayes.jl
new file mode 100644
index 0000000..c40f1ab
--- /dev/null
+++ b/src/Bayes.jl
@@ -0,0 +1,3 @@
+module Bayes
+
+end
diff --git a/src/MonteCarlo.jl b/src/MonteCarlo.jl
index 5d87834..6c7251f 100644
--- a/src/MonteCarlo.jl
+++ b/src/MonteCarlo.jl
@@ -1,6 +1,50 @@
module MonteCarlo
+abstract type Proposer end
+
+struct GaussianProposer
+ σ::Float64
+end
+
+function (prop::GaussianProposer)(x::Vector{Float64})
+ for i in length(x)
+ x += prop.σ * randn()
+ end
+end
+
+abstract type Distribution end
+
struct MarkovChain
+ dist::Distribution
+ prop!::Proposer
+ x::Vector{Float64}
+ logp::Float64
+ x′::Vector{Float64}
+end
+
+function step!(mc::MarkovChain)::Bool
+ x′ .= x
+ mc.prop!(x′)
+ logp′ = mc.dist(x′)
+ # TODO distribution
+end
+
+function calibrate!(mc::MarkovChain)
+ while true
+ for s in 1:100
+ acc += step!(mc)
+ end
+ if acc < 30
+ # TODO
+ elseif acc > 50
+ # TODO
+ else
+ break
+ end
+ end
+end
+
+struct HamiltonianMonteCarlo
end
end
diff --git a/src/NeuralNetworks.jl b/src/NeuralNetworks.jl
new file mode 100644
index 0000000..7bc9c5d
--- /dev/null
+++ b/src/NeuralNetworks.jl
@@ -0,0 +1,41 @@
+module NeuralNetworks
+
+struct Linear
+ W::Matrix{Float64}
+ b::Vector{Float64}
+end
+
+function (l::Linear)(x::Vector{Float64})
+end
+
+struct Activation
+end
+
+struct MLP
+end
+
+struct AffineCoupling
+end
+
+function (f::AffineCoupling)(x::Vector{Float64})::Float64
+ return 0.
+end
+
+struct RealNVP
+ layers::Vector{AffineCoupling}
+
+ function RealNVP()
+ layers = Vector{AffineCoupling}()
+ new(layers)
+ end
+end
+
+function (f::RealNVP)(x::Vector{Float64})::Float64
+ ldJ::Float64 = 0.
+ for l! in f.layers
+ ldJ += l!(x)
+ end
+ return ldJ
+end
+
+end
diff --git a/src/Vatic.jl b/src/Vatic.jl
index 51abad3..3400a87 100644
--- a/src/Vatic.jl
+++ b/src/Vatic.jl
@@ -2,8 +2,11 @@ module Vatic
include("Data.jl")
+include("NeuralNetworks.jl")
include("MonteCarlo.jl")
+include("Bayes.jl")
+
include("platforms/Manifold.jl")
include("platforms/Metaculus.jl")
@@ -14,13 +17,22 @@ function main()
args = let
s = ArgParseSettings()
@add_arg_table s begin
+ "--sources"
+ default = "sources.toml"
+ arg_type = String
+ "-i","--interactive"
+ action = :store_true
end
parse_args(s)
end
- term = REPL.Terminals.TTYTerminal("dumb", stdin, stdout, stderr)
- repl = REPL.LineEditREPL(term, true)
- REPL.run_repl(repl)
+ index = Data.Index(args["sources"])
+
+ if args["interactive"]
+ term = REPL.Terminals.TTYTerminal("dumb", stdin, stdout, stderr)
+ repl = REPL.LineEditREPL(term, true)
+ REPL.run_repl(repl)
+ end
end
end