"- 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/Gurobipy 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`:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "cd8a69c1",
"metadata": {
"ExecuteTime": {
"end_time": "2023-06-06T20:18:02.381829278Z",
"start_time": "2023-06-06T20:18:02.381532300Z"
}
},
"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."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "dcc8756c",
"metadata": {
"ExecuteTime": {
"end_time": "2023-06-06T20:18:15.537811992Z",
"start_time": "2023-06-06T20:18:13.449177860Z"
}
},
"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/Gurobipy 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",
"- 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`:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "cd8a69c1",
"metadata": {
"ExecuteTime": {
"end_time": "2023-06-06T19:57:33.202580815Z",
"start_time": "2023-06-06T19:57:33.198341886Z"
}
},
"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."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "dcc8756c",
"metadata": {
"ExecuteTime": {
"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",
