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https://github.com/gsi-upm/sitc
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Fixed broken link and bug of sklearn-deap with scikit 0.24
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@ -56,7 +56,7 @@
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"metadata": {},
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"metadata": {},
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"source": [
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"source": [
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"# Genetic Algorithms\n",
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"# Genetic Algorithms\n",
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"In this section we are going to use the library DEAP [References](#References) for implementing a genetic algorithms.\n",
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"In this section we are going to use the library DEAP [[References](#References)] for implementing a genetic algorithms.\n",
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"\n",
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"\n",
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"We are going to implement the OneMax problem as seen in class.\n",
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"We are going to implement the OneMax problem as seen in class.\n",
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"\n",
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"\n",
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@ -200,11 +200,13 @@
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"source": [
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"source": [
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"## Optimizing ML hyperparameters\n",
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"## Optimizing ML hyperparameters\n",
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"\n",
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"\n",
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"One of the applications of Genetic Algorithms is the optimization of ML hyperparameters. Previously we have used GridSearch from Scikit. Using (sklearn-deap)[#References], optimize the Titatic hyperparameters using both GridSearch and Genetic Algorithms. \n",
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"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",
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"\n",
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"\n",
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"The same exercise (using the digits dataset) can be found in this [notebook](https://github.com/rsteca/sklearn-deap/blob/master/test.ipynb).\n",
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"The same exercise (using the digits dataset) can be found in this [notebook](https://github.com/rsteca/sklearn-deap/blob/master/test.ipynb).\n",
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"\n",
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"\n",
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"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"
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"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",
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"\n",
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"Note: There is a problem with the version 0.24 of scikit. Just comment the different approaches."
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]
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]
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},
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},
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{
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{
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@ -261,6 +263,15 @@
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}
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}
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],
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],
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"metadata": {
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"metadata": {
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"datacleaner": {
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"position": {
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"top": "50px"
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},
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"python": {
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"varRefreshCmd": "try:\n print(_datacleaner.dataframe_metadata())\nexcept:\n print([])"
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},
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"window_display": false
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},
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"kernelspec": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3",
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"language": "python",
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"language": "python",
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@ -276,7 +287,7 @@
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"name": "python",
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"name": "python",
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"nbconvert_exporter": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"pygments_lexer": "ipython3",
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"version": "3.7.1"
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"version": "3.7.9"
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},
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},
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"latex_envs": {
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"latex_envs": {
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"LaTeX_envs_menu_present": true,
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"LaTeX_envs_menu_present": true,
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