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mmalekzadeh committed Feb 17, 2020
1 parent 1b94304 commit d950254
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Showing 12 changed files with 1,723 additions and 3 deletions.
8 changes: 8 additions & 0 deletions experiments/2_criteo_exp.ipynb
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"from keras import backend as K"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Note:\n",
"`ads_f_name` is the address (directory+filename) of the created dataset that you chose in`create_datasets.ipynb`. If you do not use our default `train_1000000000_rows`, then you also need to set `ads_build` to `True` for the first time."
]
},
{
"cell_type": "code",
"execution_count": 3,
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1,708 changes: 1,708 additions & 0 deletions experiments/5_a_synthetic_figure_5.ipynb

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10 changes: 7 additions & 3 deletions experiments/Criteo/criteo_dataset/create_datasets.ipynb
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"source": [
"### Note:\n",
"Before running this you need to download datasets from this address:\n",
"http://labs.criteo.com/2014/02/kaggle-display-advertising-challenge-dataset//"
"http://labs.criteo.com/2014/02/kaggle-display-advertising-challenge-dataset//\n",
"\n",
"Then, you need to choose your desired `nrows`. In our paper we use `nrows=1000000000`."
]
},
{
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" \n",
" data.to_csv(data_type+\"_\"+str(nrows)+\"_rows.csv\", index=False)\n",
" print(data.shape)\n",
"nrows = 10000000\n",
"\n",
"##### Please choose your desired number of rows \n",
"nrows = 1000000000\n",
"create_dataset(nrows, data_type=\"train\")"
]
},
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"metadata": {},
"outputs": [],
"source": [
"pd.read_csv(\"train.csv\", nrows=nrows)"
"pd.read_csv(\"train_\"+str(nrows)+\"_rows.csv\", nrows=nrows)"
]
}
],
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