load_dataset/load_dataset.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Load Dataset"
   ],
   "metadata": {
    "collapsed": false
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "from mlrun import mlconf\n",
    "\n",
    "mlconf.dbpath = mlconf.dbpath or 'http://mlrun-api:8080'\n",
    "mlconf.artifact_path = mlconf.artifact_path or f'{os.environ[\"HOME\"]}/artifacts'\n"
   ]
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Run Locally"
   ],
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    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "from mlrun import run_local\n",
    "from load_dataset import load_dataset\n",
    "\n",
    "for dataset in [\"wine\", \"iris\", \"breast_cancer\"]:\n",
    "    run_local(\n",
    "        handler=load_dataset,\n",
    "        inputs={\"dataset\": dataset},\n",
    "        artifact_path=mlconf.artifact_path\n",
    "    )"
   ],
   "metadata": {
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    "pycharm": {
     "name": "#%%\n"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run remotely\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "from mlrun import import_function\n",
    "from mlrun import NewTask\n",
    "\n",
    "fn = import_function(\"hub://load_dataset\")\n",
    "\n",
    "if \"V3IO_HOME\" in os.environ:\n",
    "    from mlrun import mount_v3io\n",
    "    fn.apply(mount_v3io())\n",
    "else:\n",
    "    # is you set up mlrun using the instructions at https://github.com/mlrun/mlrun/blob/master/hack/local/README.md\n",
    "    from mlrun.platforms import mount_pvc\n",
    "    fn.apply(mount_pvc('nfsvol', 'nfsvol', '/home/joyan/data'))\n",
    "\n",
    "task_params = {\"name\": \"tasks load toy dataset\", \"params\": {\"dataset\": \"wine\"}}\n",
    "\n",
    "run = fn.run(NewTask(**task_params), artifact_path=mlconf.artifact_path)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
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