mirror of https://github.com/kubeflow/examples.git
				
				
				
			
		
			
				
	
	
		
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			595 lines
		
	
	
		
			37 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
| {
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|  "cells": [
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|   {
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|    "cell_type": "code",
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|    "execution_count": 1,
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|    "metadata": {},
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|    "outputs": [
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|     {
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|      "name": "stdout",
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|      "output_type": "stream",
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|      "text": [
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|       "Defaulting to user installation because normal site-packages is not writeable\n",
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|       "Collecting tensorflow\n",
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|       "  Downloading tensorflow-2.6.2-cp36-cp36m-manylinux2010_x86_64.whl (458.3 MB)\n",
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|       "\u001b[?25hCollecting tensorboard<2.7,>=2.6.0\n",
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|       "\u001b[?25hRequirement already satisfied: numpy~=1.19.2 in /usr/local/lib/python3.6/dist-packages (from tensorflow) (1.19.5)\n",
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|       "Collecting google-pasta~=0.2\n",
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|       "  Downloading google_pasta-0.2.0-py3-none-any.whl (57 kB)\n",
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|       "     |████████████████████████████████| 57 kB 8.4 MB/s             \n",
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|       "\u001b[?25hCollecting tensorflow-estimator<2.7,>=2.6.0\n",
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|       "\u001b[?25hCollecting keras-preprocessing~=1.1.2\n",
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|       "\u001b[?25hCollecting astunparse~=1.6.3\n",
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|       "Collecting wheel~=0.35\n",
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|       "Collecting flatbuffers~=1.12.0\n",
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|       "  Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)\n",
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|       "\u001b[?25hRequirement already satisfied: protobuf>=3.9.2 in /usr/local/lib/python3.6/dist-packages (from tensorflow) (3.19.3)\n",
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|       "Collecting keras<2.7,>=2.6.0\n",
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|       "  Downloading keras-2.6.0-py2.py3-none-any.whl (1.3 MB)\n",
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|       "     |████████████████████████████████| 1.3 MB 67.3 MB/s            \n",
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|       "\u001b[?25hCollecting clang~=5.0\n",
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|       "  Downloading clang-5.0.tar.gz (30 kB)\n",
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|       "  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
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|       "\u001b[?25hCollecting h5py~=3.1.0\n",
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|       "  Downloading h5py-3.1.0-cp36-cp36m-manylinux1_x86_64.whl (4.0 MB)\n",
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|       "     |████████████████████████████████| 4.0 MB 59.1 MB/s            \n",
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|       "\u001b[?25hCollecting gast==0.4.0\n",
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|       "  Downloading gast-0.4.0-py3-none-any.whl (9.8 kB)\n",
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|       "Requirement already satisfied: grpcio<2.0,>=1.37.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow) (1.43.0)\n",
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|       "Collecting six~=1.15.0\n",
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|       "  Downloading six-1.15.0-py2.py3-none-any.whl (10 kB)\n",
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|       "Requirement already satisfied: absl-py~=0.10 in /usr/local/lib/python3.6/dist-packages (from tensorflow) (0.11.0)\n",
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|       "Requirement already satisfied: termcolor~=1.1.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow) (1.1.0)\n",
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|       "Collecting wrapt~=1.12.1\n",
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|       "  Downloading wrapt-1.12.1.tar.gz (27 kB)\n",
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|       "  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
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|       "\u001b[?25hCollecting cached-property\n",
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|       "Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.6/dist-packages (from tensorboard<2.7,>=2.6.0->tensorflow) (1.35.0)\n",
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|       "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard<2.7,>=2.6.0->tensorflow) (59.6.0)\n",
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|       "Requirement already satisfied: requests<3,>=2.21.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard<2.7,>=2.6.0->tensorflow) (2.27.1)\n",
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|       "  Downloading tensorboard_plugin_wit-1.8.1-py3-none-any.whl (781 kB)\n",
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|       "     |████████████████████████████████| 781 kB 57.6 MB/s            \n",
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|       "\u001b[?25hCollecting google-auth-oauthlib<0.5,>=0.4.1\n",
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|       "  Downloading google_auth_oauthlib-0.4.6-py2.py3-none-any.whl (18 kB)\n",
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|       "Collecting tensorboard-data-server<0.7.0,>=0.6.0\n",
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|       "  Downloading tensorboard_data_server-0.6.1-py3-none-manylinux2010_x86_64.whl (4.9 MB)\n",
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|       "     |████████████████████████████████| 4.9 MB 50.8 MB/s            \n",
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|       "\u001b[?25hCollecting markdown>=2.6.8\n",
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|       "  Downloading Markdown-3.3.7-py3-none-any.whl (97 kB)\n",
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|       "     |████████████████████████████████| 97 kB 9.4 MB/s             \n",
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|       "\u001b[?25hCollecting werkzeug>=0.11.15\n",
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|       "  Downloading Werkzeug-2.0.3-py3-none-any.whl (289 kB)\n",
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|       "     |████████████████████████████████| 289 kB 79.3 MB/s            \n",
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|       "\u001b[?25hRequirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard<2.7,>=2.6.0->tensorflow) (4.8)\n",
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|       "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard<2.7,>=2.6.0->tensorflow) (0.2.8)\n",
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|       "Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard<2.7,>=2.6.0->tensorflow) (4.2.4)\n",
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|       "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.6/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.7,>=2.6.0->tensorflow) (1.3.0)\n",
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|       "Requirement already satisfied: importlib-metadata>=4.4 in /usr/local/lib/python3.6/dist-packages (from markdown>=2.6.8->tensorboard<2.7,>=2.6.0->tensorflow) (4.8.3)\n",
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|       "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard<2.7,>=2.6.0->tensorflow) (1.26.8)\n",
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|       "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard<2.7,>=2.6.0->tensorflow) (2.0.10)\n",
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|       "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard<2.7,>=2.6.0->tensorflow) (2021.10.8)\n",
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|       "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard<2.7,>=2.6.0->tensorflow) (3.3)\n",
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|       "Requirement already satisfied: dataclasses in /usr/local/lib/python3.6/dist-packages (from werkzeug>=0.11.15->tensorboard<2.7,>=2.6.0->tensorflow) (0.8)\n",
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|       "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.6/dist-packages (from importlib-metadata>=4.4->markdown>=2.6.8->tensorboard<2.7,>=2.6.0->tensorflow) (3.6.0)\n",
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|       "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /usr/local/lib/python3.6/dist-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard<2.7,>=2.6.0->tensorflow) (0.4.8)\n",
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|       "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.7,>=2.6.0->tensorflow) (3.1.1)\n",
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|       "Building wheels for collected packages: clang, wrapt\n",
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|       "  Building wheel for clang (setup.py) ... \u001b[?25ldone\n",
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|       "\u001b[?25h  Created wheel for clang: filename=clang-5.0-py3-none-any.whl size=32130 sha256=b5e6f9c858fd938aa6312f2ed6828aeea530130c214ab9dbc228a1e0fb4fa382\n",
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|       "  Stored in directory: /home/jovyan/.cache/pip/wheels/22/4c/94/0583f60c9c5b6024ed64f290cb2d43b06bb4f75577dc3c93a7\n",
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|       "  Building wheel for wrapt (setup.py) ... \u001b[?25ldone\n",
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|       "\u001b[?25h  Created wheel for wrapt: filename=wrapt-1.12.1-cp36-cp36m-linux_x86_64.whl size=69408 sha256=7a1a7bafa804a609e50fa8ee98375c239f839953087f0a21c0a4ac8588979cdb\n",
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|       "  Stored in directory: /home/jovyan/.cache/pip/wheels/32/42/7f/23cae9ff6ef66798d00dc5d659088e57dbba01566f6c60db63\n",
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|       "Successfully built clang wrapt\n",
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|       "Installing collected packages: typing-extensions, six, wheel, werkzeug, tensorboard-plugin-wit, tensorboard-data-server, markdown, google-auth-oauthlib, cached-property, wrapt, tensorflow-estimator, tensorboard, opt-einsum, keras-preprocessing, keras, h5py, google-pasta, gast, flatbuffers, clang, astunparse, tensorflow\n",
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|       "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
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|       "nbclient 0.5.9 requires nbformat>=5.0, but you have nbformat 4.4.0 which is incompatible.\u001b[0m\n",
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|       "Successfully installed astunparse-1.6.3 cached-property-1.5.2 clang-5.0 flatbuffers-1.12 gast-0.4.0 google-auth-oauthlib-0.4.6 google-pasta-0.2.0 h5py-3.1.0 keras-2.6.0 keras-preprocessing-1.1.2 markdown-3.3.7 opt-einsum-3.3.0 six-1.15.0 tensorboard-2.6.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 tensorflow-2.6.2 tensorflow-estimator-2.6.0 typing-extensions-3.7.4.3 werkzeug-2.0.3 wheel-0.37.1 wrapt-1.12.1\n",
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|       "Defaulting to user installation because normal site-packages is not writeable\n",
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|       "Collecting autokeras\n",
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|       "  Downloading autokeras-1.0.19-py3-none-any.whl (162 kB)\n",
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|       "\u001b[?25h  Downloading autokeras-1.0.17-py3-none-any.whl (160 kB)\n",
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|       "\u001b[?25h  Downloading autokeras-1.0.16.post1-py3-none-any.whl (166 kB)\n",
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|       "\u001b[?25hCollecting keras-tuner<1.1,>=1.0.2\n",
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|       "\u001b[?25hRequirement already satisfied: typing-extensions~=3.7.4 in /home/jovyan/.local/lib/python3.6/site-packages (from tensorflow<2.6,>=2.3.0->autokeras) (3.7.4.3)\n",
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|       "Requirement already satisfied: wheel~=0.35 in /home/jovyan/.local/lib/python3.6/site-packages (from tensorflow<2.6,>=2.3.0->autokeras) (0.37.1)\n",
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|       "Requirement already satisfied: flatbuffers~=1.12.0 in /home/jovyan/.local/lib/python3.6/site-packages (from tensorflow<2.6,>=2.3.0->autokeras) (1.12)\n",
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|       "Requirement already satisfied: google-pasta~=0.2 in /home/jovyan/.local/lib/python3.6/site-packages (from tensorflow<2.6,>=2.3.0->autokeras) (0.2.0)\n",
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|       "Requirement already satisfied: keras-preprocessing~=1.1.2 in /home/jovyan/.local/lib/python3.6/site-packages (from tensorflow<2.6,>=2.3.0->autokeras) (1.1.2)\n",
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|       "Requirement already satisfied: six~=1.15.0 in /home/jovyan/.local/lib/python3.6/site-packages (from tensorflow<2.6,>=2.3.0->autokeras) (1.15.0)\n",
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|       "Requirement already satisfied: wrapt~=1.12.1 in /home/jovyan/.local/lib/python3.6/site-packages (from tensorflow<2.6,>=2.3.0->autokeras) (1.12.1)\n",
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|       "Collecting tensorflow-estimator<2.6.0,>=2.5.0\n",
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|       "  Downloading tensorflow_estimator-2.5.0-py2.py3-none-any.whl (462 kB)\n",
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|       "\u001b[?25hRequirement already satisfied: astunparse~=1.6.3 in /home/jovyan/.local/lib/python3.6/site-packages (from tensorflow<2.6,>=2.3.0->autokeras) (1.6.3)\n",
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|       "Requirement already satisfied: gast==0.4.0 in /home/jovyan/.local/lib/python3.6/site-packages (from tensorflow<2.6,>=2.3.0->autokeras) (0.4.0)\n",
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|       "Requirement already satisfied: opt-einsum~=3.3.0 in /home/jovyan/.local/lib/python3.6/site-packages (from tensorflow<2.6,>=2.3.0->autokeras) (3.3.0)\n",
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|       "Collecting keras-nightly~=2.5.0.dev\n",
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|       "  Downloading keras_nightly-2.5.0.dev2021032900-py2.py3-none-any.whl (1.2 MB)\n",
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|       "\u001b[?25hRequirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.6/dist-packages (from packaging->autokeras) (3.0.6)\n",
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|       "Requirement already satisfied: cached-property in /home/jovyan/.local/lib/python3.6/site-packages (from h5py~=3.1.0->tensorflow<2.6,>=2.3.0->autokeras) (1.5.2)\n",
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|       "Installing collected packages: grpcio, tensorflow-estimator, kt-legacy, keras-nightly, tensorflow, keras-tuner, autokeras\n",
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|       "Collecting kaggle\n",
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|       "  Downloading kaggle-1.5.12.tar.gz (58 kB)\n",
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|       "     |████████████████████████████████| 58 kB 6.1 MB/s             \n",
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|       "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
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|       "Building wheels for collected packages: kaggle\n",
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|       "  Building wheel for kaggle (setup.py) ... \u001b[?25ldone\n",
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|       "\u001b[?25h  Created wheel for kaggle: filename=kaggle-1.5.12-py3-none-any.whl size=73051 sha256=0f89ab64d8431b01152bfd27ea790c0ce581f08f64e10ecbfd348bcb6822063b\n",
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|       "Successfully built kaggle\n",
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|      ]
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|     }
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|    ],
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|    "source": [
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|     "!pip install tensorflow\n",
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|     "!pip install autokeras\n",
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|     "!pip install kaggle"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": 1,
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|    "metadata": {},
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|     {
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|      "name": "stdout",
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|      "output_type": "stream",
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|      "text": [
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|       "Downloading training.zip to /home/jovyan/examples-1/facial-keypoints-detection-kaggle-competition/my_data\n"
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|      ]
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|     {
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|      "name": "stderr",
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|      "output_type": "stream",
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|      "text": [
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|       "100%|██████████| 60.1M/60.1M [00:00<00:00, 241MB/s]\n"
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|      "name": "stdout",
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|      "text": [
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|       "\n",
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|       "Downloading test.zip to /home/jovyan/examples-1/facial-keypoints-detection-kaggle-competition/my_data\n"
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|      ]
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|     },
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|     {
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|      "name": "stderr",
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|       "100%|██████████| 16.0M/16.0M [00:00<00:00, 130MB/s] "
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|      ]
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|      "name": "stdout",
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|      "text": [
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|       "\n"
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|      ]
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|     },
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|      "name": "stderr",
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|      "output_type": "stream",
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|      "text": [
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|       "\n"
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|      ]
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|     }
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|    ],
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|    "source": [
 | ||
|     "def download_kaggle_dataset(kaggle_user:str, kaggle_key:str, data_set:str, path:str):\n",
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|     "    import os\n",
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|     "    import glob\n",
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|     "    os.environ['KAGGLE_USERNAME'] = kaggle_user \n",
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|     "    os.environ['KAGGLE_KEY'] = kaggle_key\n",
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|     "\n",
 | ||
|     "    import kaggle\n",
 | ||
|     "    from kaggle.api.kaggle_api_extended import KaggleApi\n",
 | ||
|     "    os.chdir(os.getcwd())\n",
 | ||
|     "    os.system(\"mkdir \" + path)\n",
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|     "    os.chdir(path)\n",
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|     "    api = KaggleApi()\n",
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|     "    api.authenticate()\n",
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|     "    api.competition_download_file('facial-keypoints-detection','training.zip')\n",
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|     "    api.competition_download_file('facial-keypoints-detection','test.zip')\n",
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|     "\n",
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|     "\n",
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|     "download_kaggle_dataset(\"username\", \"key\", \"facial-keypoints-detection\",\"my_data\")\n",
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|     "\n"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": 5,
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|    "metadata": {},
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|    "outputs": [],
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|    "source": [
 | ||
|     "import numpy as np\n",
 | ||
|     "import os\n",
 | ||
|     "from sklearn.utils import shuffle           \n",
 | ||
|     "import matplotlib.pyplot as plt             \n",
 | ||
|     "import tensorflow as tf                \n",
 | ||
|     "import pandas as pd\n",
 | ||
|     "from tensorflow.keras.models import load_model\n",
 | ||
|     "import os\n",
 | ||
|     "import shutil\n",
 | ||
|     "import argparse\n",
 | ||
|     "import autokeras as ak\n",
 | ||
|     "from tensorflow.keras.models import load_model\n",
 | ||
|     "import autokeras as ak\n",
 | ||
|     "import pandas as pd\n",
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|     "import numpy as np\n"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": 6,
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|    "metadata": {},
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|    "outputs": [],
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|    "source": [
 | ||
|     "trials = 1\n",
 | ||
|     "epochs = 1\n",
 | ||
|     "patience = 1"
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|    ]
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": null,
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|    "metadata": {},
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|    "outputs": [],
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|    "source": []
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|   },
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|   {
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|    "cell_type": "code",
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|    "execution_count": 9,
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|    "metadata": {},
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|    "outputs": [
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|     {
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|      "name": "stdout",
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|      "output_type": "stream",
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|      "text": [
 | ||
|       "Trial 1 Complete [00h 01m 05s]\n",
 | ||
|       "val_loss: 2114.038818359375\n",
 | ||
|       "\n",
 | ||
|       "Best val_loss So Far: 2114.038818359375\n",
 | ||
|       "Total elapsed time: 00h 01m 05s\n",
 | ||
|       "INFO:tensorflow:Oracle triggered exit\n",
 | ||
|       "67/67 [==============================] - 67s 902ms/step - loss: 1062.2905 - mean_squared_error: 1062.2905\n"
 | ||
|      ]
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|     },
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|     {
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|      "name": "stderr",
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|      "output_type": "stream",
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|      "text": [
 | ||
|       "/home/jovyan/.local/lib/python3.6/site-packages/tensorflow/python/keras/utils/generic_utils.py:497: CustomMaskWarning: Custom mask layers require a config and must override get_config. When loading, the custom mask layer must be passed to the custom_objects argument.\n",
 | ||
|       "  category=CustomMaskWarning)\n"
 | ||
|      ]
 | ||
|     },
 | ||
|     {
 | ||
|      "name": "stdout",
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|      "output_type": "stream",
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|      "text": [
 | ||
|       "INFO:tensorflow:Assets written to: ./image_regressor/best_model/assets\n"
 | ||
|      ]
 | ||
|     },
 | ||
|     {
 | ||
|      "name": "stderr",
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|      "output_type": "stream",
 | ||
|      "text": [
 | ||
|       "/home/jovyan/.local/lib/python3.6/site-packages/tensorflow/python/keras/utils/generic_utils.py:497: CustomMaskWarning: Custom mask layers require a config and must override get_config. When loading, the custom mask layer must be passed to the custom_objects argument.\n",
 | ||
|       "  category=CustomMaskWarning)\n"
 | ||
|      ]
 | ||
|     },
 | ||
|     {
 | ||
|      "name": "stdout",
 | ||
|      "output_type": "stream",
 | ||
|      "text": [
 | ||
|       "INFO:tensorflow:Assets written to: data/model_autokeras/assets\n"
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|      ]
 | ||
|     }
 | ||
|    ],
 | ||
|    "source": [
 | ||
|     "\n",
 | ||
|     "\n",
 | ||
|     "project=\"Facial-keypoints\"\n",
 | ||
|     "run_id= \"1.8\"\n",
 | ||
|     "resume_run = True\n",
 | ||
|     "\n",
 | ||
|     "MAX_TRIALS=int(trials)\n",
 | ||
|     "EPOCHS=int(epochs)\n",
 | ||
|     "PATIENCE=int(patience)\n",
 | ||
|     "\n",
 | ||
|     "### Data Extraction : extract data and save to attached extenal pvc at location /data ###\n",
 | ||
|     "\n",
 | ||
|     "train_dir_zip='training.zip'\n",
 | ||
|     "test_dir_zip='test.zip'\n",
 | ||
|     "\n",
 | ||
|     "from zipfile import ZipFile\n",
 | ||
|     "with ZipFile(train_dir_zip,'r') as zipObj:\n",
 | ||
|     "    zipObj.extractall('data')\n",
 | ||
|     "    print(\"Train Archive unzipped\")\n",
 | ||
|     "with ZipFile(test_dir_zip,'r') as zipObj:\n",
 | ||
|     "    zipObj.extractall('data')\n",
 | ||
|     "    print(\"Test Archive unzipped\")\n",
 | ||
|     "\n",
 | ||
|     "\n",
 | ||
|     "## Data preprocess \n",
 | ||
|     "\n",
 | ||
|     "train_dir='data/training.csv'\n",
 | ||
|     "test_dir='data/test.csv'\n",
 | ||
|     "train=pd.read_csv(train_dir)\n",
 | ||
|     "test=pd.read_csv(test_dir)\n",
 | ||
|     "\n",
 | ||
|     "train=train.dropna()\n",
 | ||
|     "train=train.reset_index(drop=True)\n",
 | ||
|     "\n",
 | ||
|     "X_train=[]\n",
 | ||
|     "Y_train=[]\n",
 | ||
|     "\n",
 | ||
|     "for img in train['Image']:\n",
 | ||
|     "    X_train.append(np.asarray(img.split(),dtype=float).reshape(96,96,1))\n",
 | ||
|     "X_train=np.reshape(X_train,(-1,96,96,1))\n",
 | ||
|     "X_train = np.asarray(X_train).astype('float32')\n",
 | ||
|     "    \n",
 | ||
|     "for i in range(len((train))): \n",
 | ||
|     "    Y_train.append(np.asarray(train.iloc[i][0:30].to_numpy()))\n",
 | ||
|     "Y_train = np.asarray(Y_train).astype('float32')\n",
 | ||
|     "\n",
 | ||
|     "## Data training\n",
 | ||
|     "\n",
 | ||
|     "reg = ak.ImageRegressor(max_trials=MAX_TRIALS)\n",
 | ||
|     "reg.fit(X_train, Y_train, validation_split=0.15, epochs=EPOCHS)\n",
 | ||
|     "\n",
 | ||
|     "# Export trained model to externally attached pvc \n",
 | ||
|     "my_model = reg.export_model()\n",
 | ||
|     "my_model.save('data/model_autokeras', save_format=\"tf\")\n"
 | ||
|    ]
 | ||
|   },
 | ||
|   {
 | ||
|    "cell_type": "code",
 | ||
|    "execution_count": 10,
 | ||
|    "metadata": {},
 | ||
|    "outputs": [
 | ||
|     {
 | ||
|      "name": "stdout",
 | ||
|      "output_type": "stream",
 | ||
|      "text": [
 | ||
|       "Model: \"model\"\n",
 | ||
|       "__________________________________________________________________________________________________\n",
 | ||
|       "Layer (type)                    Output Shape         Param #     Connected to                     \n",
 | ||
|       "==================================================================================================\n",
 | ||
|       "input_1 (InputLayer)            [(None, 96, 96, 1)]  0                                            \n",
 | ||
|       "__________________________________________________________________________________________________\n",
 | ||
|       "cast_to_float32 (CastToFloat32) (None, 96, 96, 1)    0           input_1[0][0]                    \n",
 | ||
|       "__________________________________________________________________________________________________\n",
 | ||
|       "concatenate (Concatenate)       (None, 96, 96, 3)    0           cast_to_float32[0][0]            \n",
 | ||
|       "                                                                 cast_to_float32[0][0]            \n",
 | ||
|       "                                                                 cast_to_float32[0][0]            \n",
 | ||
|       "__________________________________________________________________________________________________\n",
 | ||
|       "resnet50 (Functional)           (None, 3, 3, 2048)   23587712    concatenate[0][0]                \n",
 | ||
|       "__________________________________________________________________________________________________\n",
 | ||
|       "flatten (Flatten)               (None, 18432)        0           resnet50[0][0]                   \n",
 | ||
|       "__________________________________________________________________________________________________\n",
 | ||
|       "regression_head_1 (Dense)       (None, 30)           552990      flatten[0][0]                    \n",
 | ||
|       "==================================================================================================\n",
 | ||
|       "Total params: 24,140,702\n",
 | ||
|       "Trainable params: 24,087,582\n",
 | ||
|       "Non-trainable params: 53,120\n",
 | ||
|       "__________________________________________________________________________________________________\n",
 | ||
|       "None\n"
 | ||
|      ]
 | ||
|     }
 | ||
|    ],
 | ||
|    "source": [
 | ||
|     "\n",
 | ||
|     "### Load model \n",
 | ||
|     "loaded_model = load_model(\"data/model_autokeras\", custom_objects=ak.CUSTOM_OBJECTS)\n",
 | ||
|     "\n",
 | ||
|     "### Pint model summary\n",
 | ||
|     "print(loaded_model.summary())\n",
 | ||
|     "\n",
 | ||
|     "test_dir='data/test.csv'\n",
 | ||
|     "test=pd.read_csv(test_dir)\n",
 | ||
|     "\n",
 | ||
|     "X_test=[]\n",
 | ||
|     "for img in test['Image']:\n",
 | ||
|     "    X_test.append(np.asarray(img.split(),dtype=float).reshape(96,96,1))\n",
 | ||
|     "X_test=np.reshape(X_test,(-1,96,96,1))\n",
 | ||
|     "X_test = np.asarray(X_test).astype('float32')\n",
 | ||
|     "\n",
 | ||
|     "### predict \n",
 | ||
|     "y_pred = loaded_model.predict(X_test)\n",
 | ||
|     "\n",
 | ||
|     "### Create submission file\n",
 | ||
|     "y_pred= y_pred.reshape(-1,)\n",
 | ||
|     "submission = pd.DataFrame({'Location': y_pred})\n",
 | ||
|     "submission.to_csv('data/submission.csv', index=True , index_label='RowId')\n"
 | ||
|    ]
 | ||
|   },
 | ||
|   {
 | ||
|    "cell_type": "markdown",
 | ||
|    "metadata": {
 | ||
|     "tags": []
 | ||
|    },
 | ||
|    "source": [
 | ||
|     "### Submission file is exported to location\n",
 | ||
|     "\n",
 | ||
|     "```\n",
 | ||
|     "/home/jovyan/examples-1/facial-keypoints-detection-kaggle-competition/my_data/data/submission.csv\n",
 | ||
|     "```"
 | ||
|    ]
 | ||
|   }
 | ||
|  ],
 | ||
|  "metadata": {
 | ||
|   "kernelspec": {
 | ||
|    "display_name": "Python 3",
 | ||
|    "language": "python",
 | ||
|    "name": "python3"
 | ||
|   },
 | ||
|   "kubeflow_notebook": {
 | ||
|    "autosnapshot": false,
 | ||
|    "experiment": {
 | ||
|     "id": "c2268016-e4ff-4bea-8fc3-9b7ee1e56a25",
 | ||
|     "name": "Kale-pipelines"
 | ||
|    },
 | ||
|    "experiment_name": "Kale-pipelines",
 | ||
|    "katib_metadata": {
 | ||
|     "algorithm": {
 | ||
|      "algorithmName": "grid"
 | ||
|     },
 | ||
|     "maxFailedTrialCount": 3,
 | ||
|     "maxTrialCount": 12,
 | ||
|     "objective": {
 | ||
|      "objectiveMetricName": "",
 | ||
|      "type": "minimize"
 | ||
|     },
 | ||
|     "parallelTrialCount": 3,
 | ||
|     "parameters": []
 | ||
|    },
 | ||
|    "katib_run": false,
 | ||
|    "pipeline_description": "converted facial keypoint detection to pipeline",
 | ||
|    "pipeline_name": "kale-pipeline",
 | ||
|    "snapshot_volumes": true,
 | ||
|    "steps_defaults": [
 | ||
|     "label:access-ml-pipeline:true",
 | ||
|     "label:access-rok:true"
 | ||
|    ],
 | ||
|    "volume_access_mode": "rwm",
 | ||
|    "volumes": [
 | ||
|     {
 | ||
|      "annotations": [],
 | ||
|      "mount_point": "/home/jovyan",
 | ||
|      "name": "test-face-keypoint-workspace-54wqj",
 | ||
|      "size": 5,
 | ||
|      "size_type": "Gi",
 | ||
|      "snapshot": false,
 | ||
|      "type": "clone"
 | ||
|     }
 | ||
|    ]
 | ||
|   },
 | ||
|   "language_info": {
 | ||
|    "codemirror_mode": {
 | ||
|     "name": "ipython",
 | ||
|     "version": 3
 | ||
|    },
 | ||
|    "file_extension": ".py",
 | ||
|    "mimetype": "text/x-python",
 | ||
|    "name": "python",
 | ||
|    "nbconvert_exporter": "python",
 | ||
|    "pygments_lexer": "ipython3",
 | ||
|    "version": "3.6.9"
 | ||
|   }
 | ||
|  },
 | ||
|  "nbformat": 4,
 | ||
|  "nbformat_minor": 4
 | ||
| }
 |