{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Copyright (c) Microsoft Corporation. All rights reserved.  \n",
        "Licensed under the MIT License."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "![Impressions](https://PixelServer20190423114238.azurewebsites.net/api/impressions/MachineLearningNotebooks/how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/notebook_runner/training_notebook.png)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "import os"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "print(\"In training_notebook.ipynb\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "tags": [
          "parameters"
        ]
      },
      "outputs": [],
      "source": [
        "# declaring parameters to override\n",
        "\n",
        "arg1 = \"Azure\"\n",
        "processed_data = None\n",
        "notebook_processed_data = None\n",
        "my_pipeline_param = None"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Final parameter values\n",
        "\n",
        "print(\"arg1: %s\" % arg1)\n",
        "print(\"input from previous step: %s\" % processed_data)\n",
        "print(\"output from notebook: %s\" % notebook_processed_data)\n",
        "print(\"pipeline_parameter: %s\" % my_pipeline_param)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "if not (notebook_processed_data is None):\n",
        "    os.makedirs(notebook_processed_data, exist_ok=True)\n",
        "    print(\"%s created\" % notebook_processed_data)"
      ]
    }
  ],
  "metadata": {
    "authors": [
      {
        "name": "sanpil"
      }
    ],
    "kernelspec": {
      "display_name": "Python 3.6",
      "language": "python",
      "name": "python36"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.6.7"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 2
}