07_regression_equation.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "07_regression_equation.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "byUbJ9QqK5gA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "yintercept = '%.2f' % model.intercept_\n",
        "LogP = '%.2f LogP' % model.coef_[0]\n",
        "MW = '%.4f MW' % model.coef_[1]\n",
        "RB = '%.4f RB' % model.coef_[2]\n",
        "AP = '%.2f AP' % model.coef_[3]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QY-9rh--S-6g",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "095cefae-a92c-466d-8fb2-67abe856494f"
      },
      "source": [
        "print('LogS = ' + \n",
        "      ' ' + \n",
        "      yintercept + \n",
        "      ' ' + \n",
        "      LogP + \n",
        "      ' ' + \n",
        "      MW + \n",
        "      ' + ' + \n",
        "      RB + \n",
        "      ' ' + \n",
        "      AP)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "LogS =  0.31 -0.77 LogP -0.0067 MW + 0.0065 RB -0.37 AP\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}