Skip to content

Instantly share code, notes, and snippets.

Show Gist options
  • Save easonlai/a27f1afb09d1aa66d84fd742c82d56b0 to your computer and use it in GitHub Desktop.
Save easonlai/a27f1afb09d1aa66d84fd742c82d56b0 to your computer and use it in GitHub Desktop.
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# setting up experiment name in AML\n",
"experiment_name = 'tensorflow_covid19_classification_adb'\n",
"mlflow.set_experiment(experiment_name)\n",
"# summarize history for accuracy\n",
"plt.plot(history.history['accuracy'])\n",
"plt.plot(history.history['val_accuracy'])\n",
"plt.title('model accuracy')\n",
"plt.ylabel('accuracy')\n",
"plt.xlabel('epoch')\n",
"plt.legend(['train', 'test'], loc='upper left')\n",
"plt.show()\n",
"# summarize history for loss\n",
"plt.plot(history.history['loss'])\n",
"plt.plot(history.history['val_loss'])\n",
"plt.title('model loss')\n",
"plt.ylabel('loss')\n",
"plt.xlabel('epoch')\n",
"plt.legend(['train', 'test'], loc='upper left')\n",
"plt.show()\n",
"\n",
"with mlflow.start_run():\n",
" mlflow.log_param('epochs', 3)\n",
" mlflow.log_param('batch_size', 4)\n",
"\n",
" lol = history.history['loss']\n",
" for x in range(len(lol)):\n",
" mlflow.log_metric('loss', np.float(lol[x]), step=x),\n",
" loa = history.history['accuracy']\n",
" for x in range(len(loa)):\n",
" mlflow.log_metric('accuracy', np.float(loa[x]), step=x),\n",
" mlflow.end_run()"
]
}
],
"metadata": {
"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": "3.7.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment