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<link rel="/img/favicon.ico"> <link rel="shortcut icon" href="/img/favicon.ico">
<title>MIPLearn</title> <title>MIPLearn</title>

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<link rel="../img/favicon.ico"> <link rel="shortcut icon" href="../img/favicon.ico">
<title>About - MIPLearn</title> <title>About - MIPLearn</title>

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<link rel="../img/favicon.ico"> <link rel="shortcut icon" href="../img/favicon.ico">
<title>Benchmark - MIPLearn</title> <title>Benchmark - MIPLearn</title>

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<link rel="../img/favicon.ico"> <link rel="shortcut icon" href="../img/favicon.ico">
<title>Customization - MIPLearn</title> <title>Customization - MIPLearn</title>

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<link rel="img/favicon.ico"> <link rel="shortcut icon" href="img/favicon.ico">
<title>Home - MIPLearn</title> <title>Home - MIPLearn</title>
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</html> </html>
<!-- <!--
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<link rel="../img/favicon.ico"> <link rel="shortcut icon" href="../img/favicon.ico">
<title>Problems - MIPLearn</title> <title>Problems - MIPLearn</title>

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<title>Usage - MIPLearn</title> <title>Usage - MIPLearn</title>
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<h3 id="installation">Installation</h3> <h3 id="installation">Installation</h3>
<p>MIPLearn is mainly written in Python, with some components written in Julia. For this <p>MIPLearn is mainly written in Python, with some components written in Julia. For this
reason, both Python 3.6+ and Julia 1.3+ are required. A mixed-integer solver is also required, and reason, both Python 3.6+ and Julia 1.3+ are required. A mixed-integer solver is also required, and
its Python bindings must be properly installed. Currently supported solvers include CPLEX and its Python bindings must be properly installed. Supported solvers are CPLEX and
Gurobi. To install MIPLearn, run the following commands: </p> Gurobi. Optimization problems currently need to be specified in the Pyomo modeling language.
A JuMP interface to the package is currently under development.</p>
<p>To install MIPLearn, run the following commands: </p>
<pre><code class="bash">git clone https://github.com/ANL-CEEESA/MIPLearn.git <pre><code class="bash">git clone https://github.com/ANL-CEEESA/MIPLearn.git
cd MIPLearn cd MIPLearn
make install make install

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MIPLearn is mainly written in Python, with some components written in Julia. For this MIPLearn is mainly written in Python, with some components written in Julia. For this
reason, both Python 3.6+ and Julia 1.3+ are required. A mixed-integer solver is also required, and reason, both Python 3.6+ and Julia 1.3+ are required. A mixed-integer solver is also required, and
its Python bindings must be properly installed. Currently supported solvers include CPLEX and its Python bindings must be properly installed. Supported solvers are CPLEX and
Gurobi. To install MIPLearn, run the following commands: Gurobi. Optimization problems currently need to be specified in the Pyomo modeling language.
A JuMP interface to the package is currently under development.
To install MIPLearn, run the following commands:
```bash ```bash
git clone https://github.com/ANL-CEEESA/MIPLearn.git git clone https://github.com/ANL-CEEESA/MIPLearn.git