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Update 2_5_1_Exercise.ipynb

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Added optional exercises.
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Carlos A. Iglesias 2024-04-18 18:04:43 +02:00 committed by GitHub
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@ -187,9 +187,9 @@
"metadata": {},
"source": [
"## Comparing\n",
"Your task is modify the previous code to canonical GA configuration from Holland (look at the lesson's slides). In addition you should consult the [DEAP API](http://deap.readthedocs.io/en/master/api/tools.html#operators).\n",
"Your task is to modify the previous code to canonical GA configuration from Holland (look at the lesson's slides). In addition you should consult the [DEAP API](http://deap.readthedocs.io/en/master/api/tools.html#operators).\n",
"\n",
"Submit your notebook and include a the modified code, and a comparison of the effects of these changes. \n",
"Submit your notebook and include a modified code and a comparison of the effects of these changes. \n",
"\n",
"Discuss your findings."
]
@ -198,7 +198,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"## Optimizing ML hyperparameters\n",
"## Optional. Optimizing ML hyperparameters\n",
"\n",
"One of the applications of Genetic Algorithms is the optimization of ML hyperparameters. Previously we have used GridSearch from Scikit. Using (sklearn-deap)[[References](#References)], optimize the Titatic hyperparameters using both GridSearch and Genetic Algorithms. \n",
"\n",
@ -206,7 +206,7 @@
"\n",
"Submit a notebook where you include well-crafted conclusions about the exercises, discussing the pros and cons of using genetic algorithms for this purpose.\n",
"\n",
"Note: There is a problem with the version 0.24 of scikit. Just comment the different approaches."
"Note: There is a problem with Scikit version 0.24. Comment on the different approaches."
]
},
{
@ -222,7 +222,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"## Optimizing a ML pipeline with a genetic algorithm\n",
"## Optional. Optimizing an ML pipeline with a genetic algorithm\n",
"\n",
"The library [TPOT](#References) optimizes ML pipelines and comes with a lot of (examples)[https://epistasislab.github.io/tpot/examples/] and even notebooks, for example for the [iris dataset](https://github.com/EpistasisLab/tpot/blob/master/tutorials/IRIS.ipynb).\n",
"\n",