{ "cells": [ { "metadata": {}, "cell_type": "markdown", "source": "## Logistic Regression", "id": "29763efc659c0cb6" }, { "metadata": {}, "cell_type": "code", "outputs": [], "execution_count": null, "source": [ "def logReg(train_path, valid_path, save_path):\n", " x_train, y_train = uti" ], "id": "db33d7c177979003" } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.6" } }, "nbformat": 4, "nbformat_minor": 5 }