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Update 0.2 docs

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Alinson S. Xavier
2021-01-22 07:25:10 -06:00
parent 894f4b4668
commit 144523a5c0
73 changed files with 607 additions and 842 deletions
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39
0.2/api/miplearn/components/component.html
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@@ -3,7 +3,7 @@
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1" />
<meta name="generator" content="pdoc 0.7.0" />
<meta name="generator" content="pdoc 0.7.5" />
<title>miplearn.components.component API documentation</title>
<meta name="description" content="" />
<link href='https://cdnjs.cloudflare.com/ajax/libs/normalize/8.0.0/normalize.min.css' rel='stylesheet'>
@@ -32,7 +32,7 @@ from abc import ABC, abstractmethod
from typing import Any, List, Union, TYPE_CHECKING
from miplearn.instance import Instance
from miplearn.types import MIPSolveStats, TrainingSample
from miplearn.types import LearningSolveStats, TrainingSample
if TYPE_CHECKING:
from miplearn.solvers.learning import LearningSolver
@@ -73,7 +73,7 @@ class Component(ABC):
solver: &#34;LearningSolver&#34;,
instance: Instance,
model: Any,
stats: MIPSolveStats,
stats: LearningSolveStats,
training_data: TrainingSample,
) -&gt; None:
&#34;&#34;&#34;
@@ -87,13 +87,13 @@ class Component(ABC):
The instance being solved.
model: Any
The concrete optimization model being solved.
stats: dict
stats: LearningSolveStats
A dictionary containing statistics about the solution process, such as
number of nodes explored and running time. Components are free to add
their own statistics here. For example, PrimalSolutionComponent adds
statistics regarding the number of predicted variables. All statistics in
this dictionary are exported to the benchmark CSV file.
training_data: dict
training_data: TrainingSample
A dictionary containing data that may be useful for training machine
learning models and accelerating the solution process. Components are
free to add their own training data here. For example,
@@ -156,7 +156,6 @@ class Component(ABC):
<dl>
<dt id="miplearn.components.component.Component"><code class="flex name class">
<span>class <span class="ident">Component</span></span>
<span>(</span><span>*args, **kwargs)</span>
</code></dt>
<dd>
<section class="desc"><p>A Component is an object which adds functionality to a LearningSolver.</p>
@@ -202,7 +201,7 @@ strategy.</p></section>
solver: &#34;LearningSolver&#34;,
instance: Instance,
model: Any,
stats: MIPSolveStats,
stats: LearningSolveStats,
training_data: TrainingSample,
) -&gt; None:
&#34;&#34;&#34;
@@ -216,13 +215,13 @@ strategy.</p></section>
The instance being solved.
model: Any
The concrete optimization model being solved.
stats: dict
stats: LearningSolveStats
A dictionary containing statistics about the solution process, such as
number of nodes explored and running time. Components are free to add
their own statistics here. For example, PrimalSolutionComponent adds
statistics regarding the number of predicted variables. All statistics in
this dictionary are exported to the benchmark CSV file.
training_data: dict
training_data: TrainingSample
A dictionary containing data that may be useful for training machine
learning models and accelerating the solution process. Components are
free to add their own training data here. For example,
@@ -279,16 +278,16 @@ strategy.</p></section>
</ul>
<h3>Subclasses</h3>
<ul class="hlist">
<li><a title="miplearn.components.composite.CompositeComponent" href="composite.html#miplearn.components.composite.CompositeComponent">CompositeComponent</a></li>
<li><a title="miplearn.components.cuts.UserCutsComponent" href="cuts.html#miplearn.components.cuts.UserCutsComponent">UserCutsComponent</a></li>
<li><a title="miplearn.components.lazy_dynamic.DynamicLazyConstraintsComponent" href="lazy_dynamic.html#miplearn.components.lazy_dynamic.DynamicLazyConstraintsComponent">DynamicLazyConstraintsComponent</a></li>
<li><a title="miplearn.components.lazy_static.StaticLazyConstraintsComponent" href="lazy_static.html#miplearn.components.lazy_static.StaticLazyConstraintsComponent">StaticLazyConstraintsComponent</a></li>
<li><a title="miplearn.components.objective.ObjectiveValueComponent" href="objective.html#miplearn.components.objective.ObjectiveValueComponent">ObjectiveValueComponent</a></li>
<li><a title="miplearn.components.primal.PrimalSolutionComponent" href="primal.html#miplearn.components.primal.PrimalSolutionComponent">PrimalSolutionComponent</a></li>
<li><a title="miplearn.components.lazy_static.StaticLazyConstraintsComponent" href="lazy_static.html#miplearn.components.lazy_static.StaticLazyConstraintsComponent">StaticLazyConstraintsComponent</a></li>
<li><a title="miplearn.components.composite.CompositeComponent" href="composite.html#miplearn.components.composite.CompositeComponent">CompositeComponent</a></li>
<li><a title="miplearn.components.steps.drop_redundant.DropRedundantInequalitiesStep" href="steps/drop_redundant.html#miplearn.components.steps.drop_redundant.DropRedundantInequalitiesStep">DropRedundantInequalitiesStep</a></li>
<li><a title="miplearn.components.steps.convert_tight.ConvertTightIneqsIntoEqsStep" href="steps/convert_tight.html#miplearn.components.steps.convert_tight.ConvertTightIneqsIntoEqsStep">ConvertTightIneqsIntoEqsStep</a></li>
<li><a title="miplearn.components.steps.relax_integrality.RelaxIntegralityStep" href="steps/relax_integrality.html#miplearn.components.steps.relax_integrality.RelaxIntegralityStep">RelaxIntegralityStep</a></li>
<li><a title="miplearn.components.relaxation.RelaxationComponent" href="relaxation.html#miplearn.components.relaxation.RelaxationComponent">RelaxationComponent</a></li>
<li><a title="miplearn.components.steps.convert_tight.ConvertTightIneqsIntoEqsStep" href="steps/convert_tight.html#miplearn.components.steps.convert_tight.ConvertTightIneqsIntoEqsStep">ConvertTightIneqsIntoEqsStep</a></li>
<li><a title="miplearn.components.steps.drop_redundant.DropRedundantInequalitiesStep" href="steps/drop_redundant.html#miplearn.components.steps.drop_redundant.DropRedundantInequalitiesStep">DropRedundantInequalitiesStep</a></li>
<li><a title="miplearn.components.steps.relax_integrality.RelaxIntegralityStep" href="steps/relax_integrality.html#miplearn.components.steps.relax_integrality.RelaxIntegralityStep">RelaxIntegralityStep</a></li>
</ul>
<h3>Methods</h3>
<dl>
@@ -305,13 +304,13 @@ strategy.</p></section>
<dd>The instance being solved.</dd>
<dt><strong><code>model</code></strong> :&ensp;<code>Any</code></dt>
<dd>The concrete optimization model being solved.</dd>
<dt><strong><code>stats</code></strong> :&ensp;<code>dict</code></dt>
<dt><strong><code>stats</code></strong> :&ensp;<code>LearningSolveStats</code></dt>
<dd>A dictionary containing statistics about the solution process, such as
number of nodes explored and running time. Components are free to add
their own statistics here. For example, PrimalSolutionComponent adds
statistics regarding the number of predicted variables. All statistics in
this dictionary are exported to the benchmark CSV file.</dd>
<dt><strong><code>training_data</code></strong> :&ensp;<code>dict</code></dt>
<dt><strong><code>training_data</code></strong> :&ensp;<code>TrainingSample</code></dt>
<dd>A dictionary containing data that may be useful for training machine
learning models and accelerating the solution process. Components are
free to add their own training data here. For example,
@@ -328,7 +327,7 @@ def after_solve(
solver: &#34;LearningSolver&#34;,
instance: Instance,
model: Any,
stats: MIPSolveStats,
stats: LearningSolveStats,
training_data: TrainingSample,
) -&gt; None:
&#34;&#34;&#34;
@@ -342,13 +341,13 @@ def after_solve(
The instance being solved.
model: Any
The concrete optimization model being solved.
stats: dict
stats: LearningSolveStats
A dictionary containing statistics about the solution process, such as
number of nodes explored and running time. Components are free to add
their own statistics here. For example, PrimalSolutionComponent adds
statistics regarding the number of predicted variables. All statistics in
this dictionary are exported to the benchmark CSV file.
training_data: dict
training_data: TrainingSample
A dictionary containing data that may be useful for training machine
learning models and accelerating the solution process. Components are
free to add their own training data here. For example,
@@ -518,7 +517,7 @@ ends. If it retunrs True for any component, the MIP is solved again.</p>
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4
0.2/api/miplearn/components/composite.html
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@@ -3,7 +3,7 @@
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1" />
<meta name="generator" content="pdoc 0.7.0" />
<meta name="generator" content="pdoc 0.7.5" />
<title>miplearn.components.composite API documentation</title>
<meta name="description" content="" />
<link href='https://cdnjs.cloudflare.com/ajax/libs/normalize/8.0.0/normalize.min.css' rel='stylesheet'>
@@ -226,7 +226,7 @@ RelaxationComponent for a concrete example.</p>
</nav>
</main>
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0.2/api/miplearn/components/cuts.html
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@@ -3,7 +3,7 @@
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1" />
<meta name="generator" content="pdoc 0.7.0" />
<meta name="generator" content="pdoc 0.7.5" />
<title>miplearn.components.cuts API documentation</title>
<meta name="description" content="" />
<link href='https://cdnjs.cloudflare.com/ajax/libs/normalize/8.0.0/normalize.min.css' rel='stylesheet'>
@@ -378,7 +378,7 @@ class UserCutsComponent(Component):
</nav>
</main>
<footer id="footer">
<p>Generated by <a href="https://pdoc3.github.io/pdoc"><cite>pdoc</cite> 0.7.0</a>.</p>
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0.2/api/miplearn/components/index.html
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@@ -3,7 +3,7 @@
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<meta charset="utf-8">
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<meta name="generator" content="pdoc 0.7.0" />
<meta name="generator" content="pdoc 0.7.5" />
<title>miplearn.components API documentation</title>
<meta name="description" content="" />
<link href='https://cdnjs.cloudflare.com/ajax/libs/normalize/8.0.0/normalize.min.css' rel='stylesheet'>
@@ -203,7 +203,7 @@ def classifier_evaluation_dict(tp, tn, fp, fn):
</nav>
</main>
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0.2/api/miplearn/components/lazy_dynamic.html
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@@ -3,7 +3,7 @@
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<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1" />
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<title>miplearn.components.lazy_dynamic API documentation</title>
<meta name="description" content="" />
<link href='https://cdnjs.cloudflare.com/ajax/libs/normalize/8.0.0/normalize.min.css' rel='stylesheet'>
@@ -402,7 +402,7 @@ class DynamicLazyConstraintsComponent(Component):
</nav>
</main>
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0.2/api/miplearn/components/lazy_static.html
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@@ -3,7 +3,7 @@
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<meta charset="utf-8">
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<meta name="generator" content="pdoc 0.7.0" />
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<title>miplearn.components.lazy_static API documentation</title>
<meta name="description" content="" />
<link href='https://cdnjs.cloudflare.com/ajax/libs/normalize/8.0.0/normalize.min.css' rel='stylesheet'>
@@ -616,7 +616,7 @@ strategy.</p></section>
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0.2/api/miplearn/components/objective.html
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@@ -3,7 +3,7 @@
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1" />
<meta name="generator" content="pdoc 0.7.0" />
<meta name="generator" content="pdoc 0.7.5" />
<title>miplearn.components.objective API documentation</title>
<meta name="description" content="" />
<link href='https://cdnjs.cloudflare.com/ajax/libs/normalize/8.0.0/normalize.min.css' rel='stylesheet'>
@@ -384,7 +384,7 @@ class ObjectiveValueComponent(Component):
</nav>
</main>
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0.2/api/miplearn/components/primal.html
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@@ -3,7 +3,7 @@
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1" />
<meta name="generator" content="pdoc 0.7.0" />
<meta name="generator" content="pdoc 0.7.5" />
<title>miplearn.components.primal API documentation</title>
<meta name="description" content="" />
<link href='https://cdnjs.cloudflare.com/ajax/libs/normalize/8.0.0/normalize.min.css' rel='stylesheet'>
@@ -214,7 +214,7 @@ class PrimalSolutionComponent(Component):
<dl>
<dt id="miplearn.components.primal.PrimalSolutionComponent"><code class="flex name class">
<span>class <span class="ident">PrimalSolutionComponent</span></span>
<span>(</span><span>classifier=<miplearn.classifiers.adaptive.AdaptiveClassifier object>, mode='exact', threshold=<miplearn.classifiers.threshold.MinPrecisionThreshold object>)</span>
<span>(</span><span>classifier=&lt;miplearn.classifiers.adaptive.AdaptiveClassifier object&gt;, mode='exact', threshold=&lt;miplearn.classifiers.threshold.MinPrecisionThreshold object&gt;)</span>
</code></dt>
<dd>
<section class="desc"><p>A component that predicts primal solutions.</p></section>
@@ -602,7 +602,7 @@ class PrimalSolutionComponent(Component):
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@@ -3,7 +3,7 @@
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@@ -318,7 +318,7 @@ constraint loop.</dd>
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0.2/api/miplearn/components/steps/convert_tight.html
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@@ -3,7 +3,7 @@
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<title>miplearn.components.steps.convert_tight API documentation</title>
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<link href='https://cdnjs.cloudflare.com/ajax/libs/normalize/8.0.0/normalize.min.css' rel='stylesheet'>
@@ -627,7 +627,7 @@ before this component is used.</p></section>
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@@ -3,7 +3,7 @@
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@@ -655,7 +655,7 @@ before this component is used.</p></section>
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@@ -3,7 +3,7 @@
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@@ -72,7 +72,7 @@
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@@ -3,7 +3,7 @@
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<link href='https://cdnjs.cloudflare.com/ajax/libs/normalize/8.0.0/normalize.min.css' rel='stylesheet'>
@@ -66,7 +66,6 @@ class RelaxIntegralityStep(Component):
<dl>
<dt id="miplearn.components.steps.relax_integrality.RelaxIntegralityStep"><code class="flex name class">
<span>class <span class="ident">RelaxIntegralityStep</span></span>
<span>(</span><span>*args, **kwargs)</span>
</code></dt>
<dd>
<section class="desc"><p>Component that relaxes all integrality constraints before the problem is solved.</p></section>
@@ -134,7 +133,7 @@ class RelaxIntegralityStep(Component):
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