balkian/sitc
1
0
Fork 0
mirror of https://github.com/gsi-upm/sitc synced 2025-04-28 15:39:05 +00:00
Code Issues Releases Wiki Activity

Compare commits

base: balkian:4e0f9159e80abe3b48a4474b91f33f13b975efcb
Branches Tags
balkian:master
balkian:dveni-patch-2
balkian:dveni-patch-1
..
compare: balkian:c49c866a2e11ed571f20a2c50c6ce7375c5db31a
Branches Tags
balkian:master
balkian:dveni-patch-2
balkian:dveni-patch-1

No commits in common. "4e0f9159e80abe3b48a4474b91f33f13b975efcb" and "c49c866a2e11ed571f20a2c50c6ce7375c5db31a" have entirely different histories.
4e0f9159e8 ... c49c866a2e

1 changed files with 17 additions and 9 deletions
Show Stats Expand all files Collapse all files

26
ml4/2_5_1_Exercise.ipynb
View File

@ -48,7 +48,7 @@
"# Introduction\n", "# Introduction\n",
"The purpose of this practice is to understand better how GAs work. \n", "The purpose of this practice is to understand better how GAs work. \n",
"\n", "\n",
"There are many libraries that implement GAs; you can find some of them in the [References](#References) section." "There are many libraries that implement GAs, you can find some of then in the [References](#References) section."
] ]
}, },
{ {
@ -56,7 +56,7 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"# Genetic Algorithms\n", "# Genetic Algorithms\n",
"In this section, we are going to use the library [DEAP](https://github.com/DEAP/deap/tree/master) for implementing a genetic algorithms.\n", "In this section we are going to use the library DEAP [[References](#References)] for implementing a genetic algorithms.\n",
"\n", "\n",
"We are going to implement the OneMax problem as seen in class.\n", "We are going to implement the OneMax problem as seen in class.\n",
"\n", "\n",
@ -200,13 +200,22 @@
"source": [ "source": [
"## Optional. Optimizing ML hyperparameters\n", "## Optional. Optimizing ML hyperparameters\n",
"\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](https://github.com/rsteca/sklearn-deap), optimize the Titatic hyperparameters using both GridSearch and Genetic Algorithms. \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", "\n",
"The same exercise (using the digits dataset) can be found in this [notebook](https://github.com/rsteca/sklearn-deap/blob/master/test.ipynb).\n", "The same exercise (using the digits dataset) can be found in this [notebook](https://github.com/rsteca/sklearn-deap/blob/master/test.ipynb).\n",
"\n", "\n",
"Since there is a problem with Scikit version 0.24, you can just comment on the different approaches.", "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", "\n",
"Alternatively, you can also use the library [sklearn-genetic-opt](https://sklearn-genetic-opt.readthedocs.io/en/stable/index.html) and discuss the digit classification example included in the library: [digits decision tree](https://sklearn-genetic-opt.readthedocs.io/en/stable/notebooks/Digits_decision_tree.html)." "Note: There is a problem with Scikit version 0.24. Comment on the different approaches."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Optional exercises\n",
"\n",
"Here there is a proposed optional exercise."
] ]
}, },
{ {
@ -215,7 +224,7 @@
"source": [ "source": [
"## Optional. Optimizing an ML pipeline with a genetic algorithm\n", "## Optional. Optimizing an ML pipeline with a genetic algorithm\n",
"\n", "\n",
"The library [TPOT](https://epistasislab.github.io/tpot/latest/) optimizes ML pipelines and comes with a lot of [examples](https://epistasislab.github.io/tpot/latest/Tutorial/9_Genetic_Algorithm_Overview/) and even notebooks, for example for the [iris dataset](https://github.com/EpistasisLab/tpot/blob/master/tutorials/IRIS.ipynb).\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", "\n",
"Your task is to apply TPOT to the intermediate challenge and write a short essay explaining:\n", "Your task is to apply TPOT to the intermediate challenge and write a short essay explaining:\n",
"* what TPOT does (with your own words).\n", "* what TPOT does (with your own words).\n",
@ -233,8 +242,7 @@
"* [tpot](http://epistasislab.github.io/tpot/)\n", "* [tpot](http://epistasislab.github.io/tpot/)\n",
"* [gplearn](http://gplearn.readthedocs.io/en/latest/index.html)\n", "* [gplearn](http://gplearn.readthedocs.io/en/latest/index.html)\n",
"* [scikit-allel](https://scikit-allel.readthedocs.io/en/latest/)\n", "* [scikit-allel](https://scikit-allel.readthedocs.io/en/latest/)\n",
"* [sklearn-genetic](https://github.com/manuel-calzolari/sklearn-genetic)\n", "* [scklearn-genetic](https://github.com/manuel-calzolari/sklearn-genetic)"
"* [sklearn-genetic-opt](https://sklearn-genetic-opt.readthedocs.io/en/stable/)"
] ]
}, },
{ {
@ -248,7 +256,7 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n", "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
"\n", "\n",
"© Carlos A. Iglesias, Universidad Politécnica de Madrid." "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
] ]