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Minor fixes to docs and setup.py

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This commit is contained in:
Alinson S. Xavier
2023-06-08 12:37:11 -05:00
parent 1ea989d48a
commit 8dd5bb416b
3 changed files with 31 additions and 102 deletions
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63
docs/tutorials/getting-started-pyomo.ipynb
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@@ -33,6 +33,7 @@
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@@ -44,53 +45,17 @@
"- Python version, compatible with the Pyomo and Gurobipy modeling languages,\n",
"- Julia version, compatible with the JuMP modeling language.\n",
"\n",
"In this tutorial, we will demonstrate how to use and install the Python/Pyomo version of the package. The first step is to install Python 3.8+ in your computer. See the [official Python website for more instructions](https://www.python.org/downloads/). After Python is installed, we proceed to install MIPLearn using `pip`:"
]
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"end_time": "2023-06-06T19:57:33.202580815Z",
"start_time": "2023-06-06T19:57:33.198341886Z"
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"outputs": [],
"source": [
"# !pip install MIPLearn==0.3.0"
]
},
{
"cell_type": "markdown",
"id": "e8274543",
"metadata": {},
"source": [
"In addition to MIPLearn itself, we will also install Gurobi 10.0, a state-of-the-art commercial MILP solver. This step also install a demo license for Gurobi, which should able to solve the small optimization problems in this tutorial. A license is required for solving larger-scale problems."
]
},
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"end_time": "2023-06-06T19:57:35.756831801Z",
"start_time": "2023-06-06T19:57:33.201767088Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: gurobipy<10.1,>=10 in /home/axavier/Software/anaconda3/envs/miplearn/lib/python3.8/site-packages (10.0.1)\n"
]
}
],
"source": [
"!pip install 'gurobipy>=10,<10.1'"
"In this tutorial, we will demonstrate how to use and install the Python/Pyomo version of the package. The first step is to install Python 3.8+ in your computer. See the [official Python website for more instructions](https://www.python.org/downloads/). After Python is installed, we proceed to install MIPLearn using `pip`:\n",
"\n",
"```\n",
"$ pip install MIPLearn==0.3\n",
"```\n",
"\n",
"In addition to MIPLearn itself, we will also install Gurobi 10.0, a state-of-the-art commercial MILP solver. This step also install a demo license for Gurobi, which should able to solve the small optimization problems in this tutorial. A license is required for solving larger-scale problems.\n",
"\n",
"```\n",
"$ pip install 'gurobipy>=10,<10.1'\n",
"```"
]
},
{
@@ -600,7 +565,7 @@
"\n",
"solver_ml = LearningSolver(components=[comp])\n",
"solver_ml.fit(train_data)\n",
"solver_ml.optimize(test_data[0], build_uc_model);"
"solver_ml.optimize(test_data[0], build_uc_model)"
]
},
{
@@ -706,7 +671,7 @@
"source": [
"solver_baseline = LearningSolver(components=[])\n",
"solver_baseline.fit(train_data)\n",
"solver_baseline.optimize(test_data[0], build_uc_model);"
"solver_baseline.optimize(test_data[0], build_uc_model)"
]
},
{