{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "anaconda-cloud": {},
    "celltoolbar": "Slideshow",
    "colabVersion": "0.1",
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.3"
    },
    "colab": {
      "provenance": []
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8TQSYrLRbPuc"
      },
      "source": [
        "# OpenML Datasets"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZYILdzb6ZK6J"
      },
      "source": [
        "!pip install -U pip numpy pandas jupyter"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a6C76KYQZmQa"
      },
      "source": [
        "!pip install -U openml"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import openml\n",
        "\n",
        "# Στα ακόλουθα αντικαταστήστε με το δικό σας dataset ή ID\n",
        "\n",
        "# List all datasets and their properties\n",
        "openml.datasets.list_datasets(output_format=\"dataframe\")\n",
        "\n",
        "# Get dataset by ID\n",
        "dataset = openml.datasets.get_dataset(61)\n",
        "\n",
        "# Get dataset by name\n",
        "dataset = openml.datasets.get_dataset('Fashion-MNIST')\n",
        "\n",
        "# Get the data itself as a dataframe (or otherwise)\n",
        "X, y, _, _ = dataset.get_data(dataset_format=\"dataframe\")"
      ],
      "metadata": {
        "id": "XYj85PhXS_z2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iyMvG_4_QBtF"
      },
      "source": [
        "## Further information\n",
        "That's it. You are now an expert in using OpenML. In case you have further questions:\n",
        "\n",
        "[OpenML Documentation](https://docs.openml.org)  \n",
        "[Python API Documentation and examples](https://openml.github.io/openml-python)"
      ]
    }
  ]
}