Example_analytics.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Example_analytics.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/msc-acse/acse-9-independent-research-project-Garethlomax/blob/tests/Example_analytics.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Y5eWNJwnguEo",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "0990ef17-ef3b-45e8-fd0f-ecf26eb0c2ac"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UbbgzKLuhQMM",
        "colab_type": "text"
      },
      "source": [
        "# Imports \n",
        "Here we import our package."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uhSZL2hqgqdv",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "7e494f9c-f234-46bc-d49b-cf1c2226a551"
      },
      "source": [
        "%cd /content/drive/My \\Drive/masters_project/python_modules/my_stuff"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/My Drive/masters_project/python_modules/my_stuff\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VAewTuicg7Wk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from conflict_lstm.latest_run import *\n",
        "from conflict_lstm.hpc_construct import *\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VDpJCtXnj5IV",
        "colab_type": "text"
      },
      "source": [
        "We now switch back into our data directory"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GE1W0QXhjjYo",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "outputId": "324f194a-9a60-4d6b-874c-a74acf472dec"
      },
      "source": [
        "%cd ../..\n",
        "\n",
        "%cd data\n",
        "# "
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/My Drive\n",
            "/content/drive/My Drive/data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sVJyI2QAhZV-",
        "colab_type": "text"
      },
      "source": [
        "We enable these CUDA options to allow torch to use the most efficient convolution algorithms possible. We also set the device variable to 'cuda'"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "98eeTeeGhBRH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "torch.backends.cudnn.benchmark = True\n",
        "torch.backends.cudnn.enabled = True\n",
        "device = 'cuda'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yhy42TXDiAkK",
        "colab_type": "text"
      },
      "source": [
        "We now outline the parameters of one of the models we have previously trained. In this case we use a model saved as \"bce_3.pth\". We supply the filenames of the data created in dataset creation, and our application boolean which outlines which image channels we would like normalised.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JP3T88yCkfrk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "name = \"bce_3\"\n",
        "structure = np.array([[12,24,0,0,0],[0,24,12,6,5]])\n",
        "apbln = [0,1,0,0,1]\n",
        "avg_path = \"fixed_25_avg.npy\"\n",
        "std_path = \"fixed_25_std.npy\"\n",
        "dataset_path = 'emerg_25.hdf5'\n",
        "dataset_length = 4940"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4ePvwS0Ru_nh",
        "colab_type": "text"
      },
      "source": [
        "We make sure our working directory is the directory in which the files required are stored (model state dict, avg and std, dataset), or that the filenames given to analytics are relative path names to the files. The metrics produced are stored in namemetrics.csv."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pxoMYj2koU0g",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "acff7966-ae30-42c5-f653-09ca2432a88f"
      },
      "source": [
        "analytics(structure, 3, 'bce_3', dataset_path, dataset_length, avg_path, std_path, sample = 1967)"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "torch.Size([2000, 1, 5, 16, 16])\n",
            "torch.Size([2000, 16, 16])\n",
            "(2000, 256)\n",
            "(2000, 256)\n",
            "tn: 482095\n",
            "tp: 7520\n",
            "fn: 10875\n",
            "fp 11510\n",
            "prec: 0.39516552811350497\n",
            "rec: 0.408806740962218\n",
            "f1:  0.40187040748162994\n",
            "0.8884509501705424\n",
            "0.3439482905521257\n",
            "0.043720703125\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX4AAAD1CAYAAABX2p5TAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nLDNO/GZmmXHiNzPLzP8Hzje1e6edqFYAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAMIAAAbuCAYAAAAIX+1GAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nwP8HxMFuH08Ks/wAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 2304x2304 with 10 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}