deploy: 861a4ec

Dockerfile

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+FROM mcr.microsoft.com/dotnet/sdk:7.0
+
+RUN apt-get update \
+    && apt-get -y upgrade \
+    && apt-get -y install python3 python3-pip python3-dev ipython3
+
+RUN python3 -m pip install --no-cache-dir notebook jupyterlab
+
+ARG NB_USER=fsdocs-user
+ARG NB_UID=1000
+ENV USER ${NB_USER}
+ENV NB_UID ${NB_UID}
+ENV HOME /home/${NB_USER}
+
+RUN adduser --disabled-password \
+    --gecos "Default user" \
+    --uid ${NB_UID} \
+    ${NB_USER}
+
+COPY . ${HOME}
+USER root
+RUN chown -R ${NB_UID} ${HOME}
+USER ${NB_USER}
+
+ENV PATH="${PATH}:$HOME/.dotnet/tools/"
+
+RUN dotnet tool install --global Microsoft.dotnet-interactive --version 1.0.410202
+
+RUN dotnet-interactive jupyter install

NuGet.config

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+<?xml version="1.0" encoding="utf-8"?>
+<configuration>
+  <solution>
+    <add key="disableSourceControlIntegration" value="true" />
+  </solution>
+  <packageSources>
+    <clear />
+    <add key="nuget.org" value="https://api.nuget.org/v3/index.json" />
+    <add key="dotnet3-dev" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet3.1/nuget/v3/index.json" />
+    <add key="dotnet-core" value="https://dotnetfeed.blob.core.windows.net/dotnet-core/index.json" />
+    <add key="dotnet-tools" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-tools/nuget/v3/index.json" />
+    <add key="PSGallery" value="https://www.powershellgallery.com/api/v2/" />
+  </packageSources>
+</configuration>

_head.html

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+<script src="https://cdn.plot.ly/plotly-2.21.0.min.js"></script>

confidence-intervals.fsx

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+(**
+
+*)
+#r "nuget: Bristlecone,2.0.0-alpha2"
+(**
+# Calculating Confidence Intervals
+
+Bristlecone includes functions to calculate confidence intervals based
+on a profile likelihood method. Given the minimum -log likelihood, the
+profile likelihood method samples the parameter space around this point.
+The range sampled for each parameter is discovered at 95% and 68%
+confidence based on a chi squared distribution.
+
+These functions are included in the `Bristlecone.Optimisation.ConfidenceInterval` module.
+An example of their use is given below:
+
+*)
+open Bristlecone
+open Bristlecone.Optimisation
+open Bristlecone.Data
+
+// // fitFn = 
+// fun engine dataset hypothesis result ->
+
+//     // The function used to fit the model, which unless an
+//     // advanced scenario is usually Bristlecone.fit
+//     let fitFn = Bristlecone.fit
+
+//     // The number of jumps to perform in parameter space
+//     let n = 10000
+
+//     let ci = ConfidenceInterval.ProfileLikelihood.profile fitFn engine dataset hypothesis n result
+
+//     // Optionally, save the result
+//     let saveDir = "/some/save/dir"
+//     let subjectName = "some subject"
+//     let modelId = "some model hypothesis"
+//     Confidence.save saveDir subjectName modelId result.ResultId ci
+