eval.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "eval.py",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/caer200/ocelotml_2d/blob/main/eval.ipynb)"
      ],
      "metadata": {
        "id": "ut7LJRa2yx0N"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Install the required packages"
      ],
      "metadata": {
        "id": "jyR-M4wryeJ8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install rdkit\n",
        "!pip install dgl\n",
        "!pip install dgllife\n",
        "!pip install wget"
      ],
      "metadata": {
        "id": "CAPPJSf5s1W_",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fdb78b21-55dc-40ff-87d3-be7a1246f7de"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting rdkit\n",
            "  Downloading rdkit-2022.9.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (29.4 MB)\n",
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            "Installing collected packages: rdkit\n",
            "Successfully installed rdkit-2022.9.5\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting dgl\n",
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            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.9/dist-packages (from requests>=2.19.0->dgl) (2022.12.7)\n",
            "Installing collected packages: dgl\n",
            "Successfully installed dgl-1.0.1\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting dgllife\n",
            "  Downloading dgllife-0.3.2-py3-none-any.whl (226 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m226.1/226.1 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "Requirement already satisfied: numpy>=1.14.0 in /usr/local/lib/python3.9/dist-packages (from dgllife) (1.22.4)\n",
            "Requirement already satisfied: scipy>=1.1.0 in /usr/local/lib/python3.9/dist-packages (from dgllife) (1.10.1)\n",
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            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.9/dist-packages (from pandas->dgllife) (2022.7.1)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.9/dist-packages (from pandas->dgllife) (2.8.2)\n",
            "Installing collected packages: dgllife\n",
            "Successfully installed dgllife-0.3.2\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting wget\n",
            "  Downloading wget-3.2.zip (10 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Building wheels for collected packages: wget\n",
            "  Building wheel for wget (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for wget: filename=wget-3.2-py3-none-any.whl size=9676 sha256=ce9a1fd4052fe542d51dd722a6a78adab8371a27aa605406d041356b6c240e34\n",
            "  Stored in directory: /root/.cache/pip/wheels/04/5f/3e/46cc37c5d698415694d83f607f833f83f0149e49b3af9d0f38\n",
            "Successfully built wget\n",
            "Installing collected packages: wget\n",
            "Successfully installed wget-3.2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Make predictions with pre-trained models\n",
        "\n"
      ],
      "metadata": {
        "id": "afSSjZrswpnm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/caer200/ocelotml_2d.git"
      ],
      "metadata": {
        "id": "QsnunLe0z2Av",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "34819f52-7784-4514-eef2-e3b35270e062"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'ocelotml_2d'...\n",
            "remote: Enumerating objects: 115, done.\u001b[K\n",
            "remote: Counting objects: 100% (47/47), done.\u001b[K\n",
            "remote: Compressing objects: 100% (46/46), done.\u001b[K\n",
            "remote: Total 115 (delta 28), reused 1 (delta 1), pack-reused 68\u001b[K\n",
            "Receiving objects: 100% (115/115), 59.29 KiB | 14.82 MiB/s, done.\n",
            "Resolving deltas: 100% (62/62), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# load the helper functions\n",
        "from ocelotml_2d.ocelotml import * \n",
        "\n",
        "def mlpredict(smiles, model_name):\n",
        "    prediction = make_prediction_with_smiles(smiles, model_name)\n",
        "    return prediction"
      ],
      "metadata": {
        "id": "eMo1_x9StKMG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a519db5f-3c95-4a25-b74d-11f09fff63fe"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "DGL backend not selected or invalid.  Assuming PyTorch for now.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Setting the default backend to \"pytorch\". You can change it in the ~/.dgl/config.json file or export the DGLBACKEND environment variable.  Valid options are: pytorch, mxnet, tensorflow (all lowercase)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "All trained ML models are available on Materials Data Facility. Follow [this link](https://doi.org/10.18126/3ilu-3f69 ) access the files. "
      ],
      "metadata": {
        "id": "aYpiBsAhNYg1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import wget\n",
        "import os\n",
        "\n",
        "# functions to donwload the trained ML model and hyperparmeter\n",
        "def get_model(model_name):\n",
        "  os.system(\"rm -f params*json\")\n",
        "  os.system(\"rm -f best_r2*.pt\")\n",
        "  wget.download(\"https://data.materialsdatafacility.org/mdf_open/ocelotml_2d_v1.2/{}/params.json\".format(model_name))\n",
        "  wget.download(\"https://data.materialsdatafacility.org/mdf_open/ocelotml_2d_v1.2/{}/best_r2.pt\".format(model_name))\n",
        "  if \"_evi\" in model_name:\n",
        "      wget.download(\"https://data.materialsdatafacility.org/mdf_open/ocelotml_2d_v1.2/{}/params_std.json\".format(model_name))\n",
        "\n"
      ],
      "metadata": {
        "id": "q_5ICOoHHJjf"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "The nomenclature of the models is ***property_generation_subtype***. \n",
        "\n"
      ],
      "metadata": {
        "id": "ADduYCLGzFtM"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        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      ],
      "metadata": {
        "id": "Jg03fPlgR2wq"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "For example, prediction of homo with fourth generation model + uncertainity use  ***homo_4gen_evi***\n",
        "\n",
        "In case of models with uncertainity, first value is the prediction and the second value is the uncertainity\n",
        "\n",
        "Edit the code below to test on different molecules. SMILES can be generated [here](https://pubchem.ncbi.nlm.nih.gov//edit3/index.html).\n"
      ],
      "metadata": {
        "id": "7SM14yCfrKDQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "smiles = \"c1ccccc1\"\n",
        "model_name = \"homo_4gen_evi\"\n",
        "get_model(model_name)\n",
        "mlpredict(smiles=smiles, model_name=model_name)"
      ],
      "metadata": {
        "id": "HaTNxR01xjxg",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2f6bafba-dd8a-4a49-82bc-50c11fdc9b37"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[-7.796, 1.005]"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    }
  ]
}