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1. Getting started (Pyomo)
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2. Getting started (Gurobipy)
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3. Getting started (JuMP)
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Python API Reference
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<a class="reference internal nav-link" href="#module-miplearn.solvers.abstract">
13.1. miplearn.solvers.abstract
</a>
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<li class="toc-h2 nav-item toc-entry">
<a class="reference internal nav-link" href="#module-miplearn.solvers.gurobi">
13.2. miplearn.solvers.gurobi
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<div class="section" id="solvers">
<h1><span class="section-number">13. </span>Solvers<a class="headerlink" href="#solvers" title="Permalink to this headline"></a></h1>
<div class="section" id="module-miplearn.solvers.abstract">
<span id="miplearn-solvers-abstract"></span><h2><span class="section-number">13.1. </span>miplearn.solvers.abstract<a class="headerlink" href="#module-miplearn.solvers.abstract" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt id="miplearn.solvers.abstract.AbstractModel">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">miplearn.solvers.abstract.</span></code><code class="sig-name descname"><span class="pre">AbstractModel</span></code><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">abc.ABC</span></code></p>
<dl class="py attribute">
<dt id="miplearn.solvers.abstract.AbstractModel.WHERE_CUTS">
<code class="sig-name descname"><span class="pre">WHERE_CUTS</span></code><em class="property"> <span class="pre">=</span> <span class="pre">'cuts'</span></em><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel.WHERE_CUTS" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="miplearn.solvers.abstract.AbstractModel.WHERE_DEFAULT">
<code class="sig-name descname"><span class="pre">WHERE_DEFAULT</span></code><em class="property"> <span class="pre">=</span> <span class="pre">'default'</span></em><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel.WHERE_DEFAULT" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py attribute">
<dt id="miplearn.solvers.abstract.AbstractModel.WHERE_LAZY">
<code class="sig-name descname"><span class="pre">WHERE_LAZY</span></code><em class="property"> <span class="pre">=</span> <span class="pre">'lazy'</span></em><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel.WHERE_LAZY" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.abstract.AbstractModel.add_constrs">
<em class="property"><span class="pre">abstract</span> </em><code class="sig-name descname"><span class="pre">add_constrs</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">var_names</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">constrs_lhs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">constrs_sense</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">constrs_rhs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stats</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel.add_constrs" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.abstract.AbstractModel.extract_after_load">
<em class="property"><span class="pre">abstract</span> </em><code class="sig-name descname"><span class="pre">extract_after_load</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="../helpers/#miplearn.h5.H5File" title="miplearn.h5.H5File"><span class="pre">miplearn.h5.H5File</span></a></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel.extract_after_load" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.abstract.AbstractModel.extract_after_lp">
<em class="property"><span class="pre">abstract</span> </em><code class="sig-name descname"><span class="pre">extract_after_lp</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="../helpers/#miplearn.h5.H5File" title="miplearn.h5.H5File"><span class="pre">miplearn.h5.H5File</span></a></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel.extract_after_lp" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.abstract.AbstractModel.extract_after_mip">
<em class="property"><span class="pre">abstract</span> </em><code class="sig-name descname"><span class="pre">extract_after_mip</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="../helpers/#miplearn.h5.H5File" title="miplearn.h5.H5File"><span class="pre">miplearn.h5.H5File</span></a></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel.extract_after_mip" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.abstract.AbstractModel.fix_variables">
<em class="property"><span class="pre">abstract</span> </em><code class="sig-name descname"><span class="pre">fix_variables</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">var_names</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">var_values</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stats</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel.fix_variables" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.abstract.AbstractModel.lazy_enforce">
<code class="sig-name descname"><span class="pre">lazy_enforce</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">violations</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel.lazy_enforce" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.abstract.AbstractModel.optimize">
<em class="property"><span class="pre">abstract</span> </em><code class="sig-name descname"><span class="pre">optimize</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel.optimize" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.abstract.AbstractModel.relax">
<em class="property"><span class="pre">abstract</span> </em><code class="sig-name descname"><span class="pre">relax</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; <a class="reference internal" href="#miplearn.solvers.abstract.AbstractModel" title="miplearn.solvers.abstract.AbstractModel"><span class="pre">miplearn.solvers.abstract.AbstractModel</span></a><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel.relax" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.abstract.AbstractModel.set_cuts">
<code class="sig-name descname"><span class="pre">set_cuts</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cuts</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel.set_cuts" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.abstract.AbstractModel.set_warm_starts">
<em class="property"><span class="pre">abstract</span> </em><code class="sig-name descname"><span class="pre">set_warm_starts</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">var_names</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">var_values</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stats</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel.set_warm_starts" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.abstract.AbstractModel.write">
<em class="property"><span class="pre">abstract</span> </em><code class="sig-name descname"><span class="pre">write</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.abstract.AbstractModel.write" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
</div>
<div class="section" id="module-miplearn.solvers.gurobi">
<span id="miplearn-solvers-gurobi"></span><h2><span class="section-number">13.2. </span>miplearn.solvers.gurobi<a class="headerlink" href="#module-miplearn.solvers.gurobi" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt id="miplearn.solvers.gurobi.GurobiModel">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">miplearn.solvers.gurobi.</span></code><code class="sig-name descname"><span class="pre">GurobiModel</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inner</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">gurobipy.Model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lazy_separate</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Callable</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lazy_enforce</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Callable</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cuts_separate</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Callable</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cuts_enforce</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Callable</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#miplearn.solvers.gurobi.GurobiModel" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#miplearn.solvers.abstract.AbstractModel" title="miplearn.solvers.abstract.AbstractModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">miplearn.solvers.abstract.AbstractModel</span></code></a></p>
<dl class="py method">
<dt id="miplearn.solvers.gurobi.GurobiModel.add_constr">
<code class="sig-name descname"><span class="pre">add_constr</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">constr</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.gurobi.GurobiModel.add_constr" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.gurobi.GurobiModel.add_constrs">
<code class="sig-name descname"><span class="pre">add_constrs</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">var_names</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">constrs_lhs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">constrs_sense</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">constrs_rhs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stats</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.gurobi.GurobiModel.add_constrs" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.gurobi.GurobiModel.extract_after_load">
<code class="sig-name descname"><span class="pre">extract_after_load</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="../helpers/#miplearn.h5.H5File" title="miplearn.h5.H5File"><span class="pre">miplearn.h5.H5File</span></a></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.gurobi.GurobiModel.extract_after_load" title="Permalink to this definition"></a></dt>
<dd><p>Given a model that has just been loaded, extracts static problem
features, such as variable names and types, objective coefficients, etc.</p>
</dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.gurobi.GurobiModel.extract_after_lp">
<code class="sig-name descname"><span class="pre">extract_after_lp</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="../helpers/#miplearn.h5.H5File" title="miplearn.h5.H5File"><span class="pre">miplearn.h5.H5File</span></a></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.gurobi.GurobiModel.extract_after_lp" title="Permalink to this definition"></a></dt>
<dd><p>Given a linear programming model that has just been solved, extracts
dynamic problem features, such as optimal LP solution, basis status,
etc.</p>
</dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.gurobi.GurobiModel.extract_after_mip">
<code class="sig-name descname"><span class="pre">extract_after_mip</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="../helpers/#miplearn.h5.H5File" title="miplearn.h5.H5File"><span class="pre">miplearn.h5.H5File</span></a></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.gurobi.GurobiModel.extract_after_mip" title="Permalink to this definition"></a></dt>
<dd><p>Given a mixed-integer linear programming model that has just been
solved, extracts dynamic problem features, such as optimal MIP solution.</p>
</dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.gurobi.GurobiModel.fix_variables">
<code class="sig-name descname"><span class="pre">fix_variables</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">var_names</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">var_values</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stats</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.gurobi.GurobiModel.fix_variables" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.gurobi.GurobiModel.optimize">
<code class="sig-name descname"><span class="pre">optimize</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.gurobi.GurobiModel.optimize" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.gurobi.GurobiModel.relax">
<code class="sig-name descname"><span class="pre">relax</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; <a class="reference internal" href="#miplearn.solvers.gurobi.GurobiModel" title="miplearn.solvers.gurobi.GurobiModel"><span class="pre">miplearn.solvers.gurobi.GurobiModel</span></a><a class="headerlink" href="#miplearn.solvers.gurobi.GurobiModel.relax" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.gurobi.GurobiModel.set_time_limit">
<code class="sig-name descname"><span class="pre">set_time_limit</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">time_limit_sec</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.gurobi.GurobiModel.set_time_limit" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.gurobi.GurobiModel.set_warm_starts">
<code class="sig-name descname"><span class="pre">set_warm_starts</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">var_names</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">var_values</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stats</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.gurobi.GurobiModel.set_warm_starts" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.gurobi.GurobiModel.write">
<code class="sig-name descname"><span class="pre">write</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.gurobi.GurobiModel.write" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
</div>
<div class="section" id="module-miplearn.solvers.learning">
<span id="miplearn-solvers-learning"></span><h2><span class="section-number">13.3. </span>miplearn.solvers.learning<a class="headerlink" href="#module-miplearn.solvers.learning" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt id="miplearn.solvers.learning.LearningSolver">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">miplearn.solvers.learning.</span></code><code class="sig-name descname"><span class="pre">LearningSolver</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">components</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">skip_lp</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#miplearn.solvers.learning.LearningSolver" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
<dl class="py method">
<dt id="miplearn.solvers.learning.LearningSolver.fit">
<code class="sig-name descname"><span class="pre">fit</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_filenames</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">None</span><a class="headerlink" href="#miplearn.solvers.learning.LearningSolver.fit" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt id="miplearn.solvers.learning.LearningSolver.optimize">
<code class="sig-name descname"><span class="pre">optimize</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><a class="reference internal" href="#miplearn.solvers.abstract.AbstractModel" title="miplearn.solvers.abstract.AbstractModel"><span class="pre">miplearn.solvers.abstract.AbstractModel</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">build_model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Callable</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> &#x2192; <span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#miplearn.solvers.abstract.AbstractModel" title="miplearn.solvers.abstract.AbstractModel"><span class="pre">miplearn.solvers.abstract.AbstractModel</span></a><span class="p"><span class="pre">,</span> </span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><a class="headerlink" href="#miplearn.solvers.learning.LearningSolver.optimize" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
</div>
</div>
</div>
<div class='prev-next-bottom'>
<a class='left-prev' id="prev-link" href="../components/" title="previous page"><span class="section-number">12. </span>Components</a>
<a class='right-next' id="next-link" href="../helpers/" title="next page"><span class="section-number">14. </span>Helpers</a>
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