Update the examples with correct image paths and packages (#1016)

* fix ipynb images to be file paths, and not relevant urls Signed-off-by: Kimonas Sotirchos <kimwnasptd@arrikto.com> * Don't explicitly set the kale image Signed-off-by: Kimonas Sotirchos <kimwnasptd@arrikto.com> * Update packages Signed-off-by: Kimonas Sotirchos <kimwnasptd@arrikto.com> Signed-off-by: Kimonas Sotirchos <kimwnasptd@arrikto.com>
2022-11-22 23:49:42 +02:00 · 2022-11-22 23:49:42 +02:00 · 067ba59439
parent 3c630d13f5
commit 067ba59439
26 changed files with 13 additions and 37 deletions
--- a/G-research-crypto-forecasting-kaggle-competition/g-research-crypto-forecast-kale.ipynb
+++ b/G-research-crypto-forecasting-kaggle-competition/g-research-crypto-forecast-kale.ipynb
@ -7,7 +7,7 @@
   },
   "source": [
    "# 🪙 G-Research Crypto Kale Pipeline\n",
-    "![](./images/vector-blockchain-poster.jpg?raw=true)\n",
+    "![](./images/vector-blockchain-poster.jpg)\n",
    "\n",
    "---\n"
   ]
@ -966,7 +966,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "2efb8e27-3b2e-439b-a53c-b1f9d7b94cfc",
    "name": "g-research-crypto-forecasting"
--- a/G-research-crypto-forecasting-kaggle-competition/g-research-crypto-forecast-kfp.ipynb
+++ b/G-research-crypto-forecasting-kaggle-competition/g-research-crypto-forecast-kfp.ipynb
@ -7,7 +7,7 @@
   },
   "source": [
    "# 🪙 G-Research Crypto Kubeflow Pipeline\n",
-    "![](./images/vector-blockchain-poster.jpg?raw=true)\n",
+    "![](./images/vector-blockchain-poster.jpg)\n",
    "\n",
    "---\n"
   ]
@ -740,7 +740,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "2efb8e27-3b2e-439b-a53c-b1f9d7b94cfc",
    "name": "g-research-crypto-forecasting"
--- a/G-research-crypto-forecasting-kaggle-competition/g-research-crypto-forecast-orig.ipynb
+++ b/G-research-crypto-forecasting-kaggle-competition/g-research-crypto-forecast-orig.ipynb
@ -7,7 +7,7 @@
   },
   "source": [
    "# 🪙 G-Research Crypto Original Notebook\n",
-    "![](./images/vector-blockchain-poster.jpg?raw=true)\n",
+    "![](./images/vector-blockchain-poster.jpg)\n",
    "\n",
    "---\n"
   ]
@ -955,7 +955,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "2efb8e27-3b2e-439b-a53c-b1f9d7b94cfc",
    "name": "g-research-crypto-forecasting"
--- a/G-research-crypto-forecasting-kaggle-competition/requirements.txt
+++ b/G-research-crypto-forecasting-kaggle-competition/requirements.txt
@ -1,5 +1,6 @@
-kaggle
-pandas
-tqdm
-lightgbm
-talib-binary
+kaggle
+pandas
+tqdm
+lightgbm
+ta-lib-binary
+numpy==1.20.0
--- a/american-express-default-kaggle-competition/american-express-default-prediction-kale.ipynb
+++ b/american-express-default-kaggle-competition/american-express-default-prediction-kale.ipynb
@ -7,7 +7,7 @@
   },
   "source": [
    "# 🪙 American Express - Default Prediction Competition Kale Pipeline\n",
-    "![](./images/background.jpg?raw=true)\n",
+    "![](./images/background.jpg)\n",
    "\n",
    "---\n",
    "\n",
@ -713,7 +713,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "new",
    "name": "american-express-defaul-prediction"
--- a/american-express-default-kaggle-competition/american-express-default-prediction-kfp.ipynb
+++ b/american-express-default-kaggle-competition/american-express-default-prediction-kfp.ipynb
@ -7,7 +7,7 @@
   },
   "source": [
    "# 🪙 American Express - Default Prediction Competition Vanilla KFP Pipeline\n",
-    "![](./images/background.jpg?raw=true)\n",
+    "![](./images/background.jpg)\n",
    "\n",
    "---\n",
    "\n",
@ -709,7 +709,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "2efb8e27-3b2e-439b-a53c-b1f9d7b94cfc",
    "name": "g-research-crypto-forecasting"
--- a/american-express-default-kaggle-competition/american-express-default-prediction-orig.ipynb
+++ b/american-express-default-kaggle-competition/american-express-default-prediction-orig.ipynb
@ -7,7 +7,7 @@
   },
   "source": [
    "# 🪙 American Express - Default Prediction Competition Original Notebook\n",
-    "![](./images/background.jpg?raw=true)\n",
+    "![](./images/background.jpg)\n",
    "\n",
    "---\n",
    "\n",
@ -814,7 +814,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "2efb8e27-3b2e-439b-a53c-b1f9d7b94cfc",
    "name": "g-research-crypto-forecasting"
--- a/digit-recognition-kaggle-competition/digit-recognizer-kale.ipynb
+++ b/digit-recognition-kaggle-competition/digit-recognizer-kale.ipynb
@ -861,7 +861,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "",
   "experiment": {
    "id": "new",
    "name": "digit-recognizer-kale"
--- a/digit-recognition-kaggle-competition/digit-recognizer-kfp.ipynb
+++ b/digit-recognition-kaggle-competition/digit-recognizer-kfp.ipynb
@ -660,7 +660,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "",
   "experiment": {
    "id": "6f6c9b81-54e3-414b-974a-6fe8b445a59e",
    "name": "digit_recognize_lightweight"
--- a/digit-recognition-kaggle-competition/digit-recognizer-orig.ipynb
+++ b/digit-recognition-kaggle-competition/digit-recognizer-orig.ipynb
@ -1179,7 +1179,6 @@
    },
    "kubeflow_notebook": {
      "autosnapshot": true,
-      "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
      "experiment": {
        "id": "new",
        "name": "digit-recognizer-kale"
--- a/digit-recognition-kaggle-competition/digit_recognizer_orig.ipynb
+++ b/digit-recognition-kaggle-competition/digit_recognizer_orig.ipynb
@ -1179,7 +1179,6 @@
    },
    "kubeflow_notebook": {
      "autosnapshot": true,
-      "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
      "experiment": {
        "id": "new",
        "name": "digit-recognizer-kale"
--- a/facial-keypoints-detection-kaggle-competition/facial-keypoints-detection-kale.ipynb
+++ b/facial-keypoints-detection-kaggle-competition/facial-keypoints-detection-kale.ipynb
@ -436,7 +436,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": false,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "c2268016-e4ff-4bea-8fc3-9b7ee1e56a25",
    "name": "Kale-pipelines"
--- a/facial-keypoints-detection-kaggle-competition/facial-keypoints-detection-kfp.ipynb
+++ b/facial-keypoints-detection-kaggle-competition/facial-keypoints-detection-kfp.ipynb
@ -69,7 +69,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "",
    "name": ""
--- a/facial-keypoints-detection-kaggle-competition/facial-keypoints-detection-orig.ipynb
+++ b/facial-keypoints-detection-kaggle-competition/facial-keypoints-detection-orig.ipynb
@ -537,7 +537,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": false,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "c2268016-e4ff-4bea-8fc3-9b7ee1e56a25",
    "name": "Kale-pipelines"
--- a/h-and-m-fash-rec-kaggle-competition/h&m-fash-rec-kale.ipynb
+++ b/h-and-m-fash-rec-kaggle-competition/h&m-fash-rec-kale.ipynb
@ -617,7 +617,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "new",
    "name": "hm-fash-recomm"
--- a/h-and-m-fash-rec-kaggle-competition/h&m-fash-rec-kfp.ipynb
+++ b/h-and-m-fash-rec-kaggle-competition/h&m-fash-rec-kfp.ipynb
@ -556,7 +556,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "",
    "name": ""
--- a/h-and-m-fash-rec-kaggle-competition/h&m-fash-rec-orig.ipynb
+++ b/h-and-m-fash-rec-kaggle-competition/h&m-fash-rec-orig.ipynb
@ -381,7 +381,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "",
    "name": ""
--- a/jpx-tokyo-stock-exchange-kaggle-competition/jpx-tokyo-stock-exchange-prediction-kale.ipynb
+++ b/jpx-tokyo-stock-exchange-kaggle-competition/jpx-tokyo-stock-exchange-prediction-kale.ipynb
@ -2198,7 +2198,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "new",
    "name": "jpx-tokyo-stock-exchange"
--- a/jpx-tokyo-stock-exchange-kaggle-competition/jpx-tokyo-stock-exchange-prediction-kfp.ipynb
+++ b/jpx-tokyo-stock-exchange-kaggle-competition/jpx-tokyo-stock-exchange-prediction-kfp.ipynb
@ -625,7 +625,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "new",
    "name": "jpx-tokyo-stock-exchange"
@ -693,4 +692,4 @@
 },
 "nbformat": 4,
 "nbformat_minor": 5
-}
+}
--- a/jpx-tokyo-stock-exchange-kaggle-competition/jpx-tokyo-stock-exchange-prediction-orig.ipynb
+++ b/jpx-tokyo-stock-exchange-kaggle-competition/jpx-tokyo-stock-exchange-prediction-orig.ipynb
@ -2085,7 +2085,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "new",
    "name": "jpx-tokyo-stock-exchange"
--- a/store-sales-forecasting-kaggle-competition/store-sales-kale.ipynb
+++ b/store-sales-forecasting-kaggle-competition/store-sales-kale.ipynb
@ -450,7 +450,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "new",
    "name": "store-sales-forecast"
--- a/store-sales-forecasting-kaggle-competition/store-sales-kfp.ipynb
+++ b/store-sales-forecasting-kaggle-competition/store-sales-kfp.ipynb
@ -577,7 +577,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "8b9ab23a-f26c-475d-baa7-1b4e6e26c816",
    "name": "store-sales-forecast"
--- a/store-sales-forecasting-kaggle-competition/store-sales-orig.ipynb
+++ b/store-sales-forecasting-kaggle-competition/store-sales-orig.ipynb
@ -2201,7 +2201,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "",
    "name": ""
--- a/telco-customer-churn-kaggle-competition/telco-customer-churn-kale.ipynb
+++ b/telco-customer-churn-kaggle-competition/telco-customer-churn-kale.ipynb
@ -1729,7 +1729,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "new",
    "name": "telco"
--- a/telco-customer-churn-kaggle-competition/telco-customer-churn-kfp.ipynb
+++ b/telco-customer-churn-kaggle-competition/telco-customer-churn-kfp.ipynb
@ -969,7 +969,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "new",
    "name": "telco"
--- a/telco-customer-churn-kaggle-competition/telco-customer-churn-orig.ipynb
+++ b/telco-customer-churn-kaggle-competition/telco-customer-churn-orig.ipynb
@ -1647,7 +1647,6 @@
  },
  "kubeflow_notebook": {
   "autosnapshot": true,
-   "docker_image": "gcr.io/arrikto/jupyter-kale-py36@sha256:dd3f92ca66b46d247e4b9b6a9d84ffbb368646263c2e3909473c3b851f3fe198",
   "experiment": {
    "id": "",
    "name": ""