},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
" updated_model_info= requests.post(url).json()\n",
" print(updated_model_info)\n",
" \n",
- " mm_sdk.upload_metrics(data, modelname, modelversion,artifactversion)\n",
- " mm_sdk.upload_model(\"./\", modelname, modelversion, artifactversion)"
+ " #featurepath is a combination of <feature_group>_<trainingjob_Id>\n",
+ " trainingjob_id = featurepath.split('_')[-1]\n",
+ " mm_sdk.upload_metrics(data, trainingjob_id)\n",
+ " print(\"Model-metric : \", mm_sdk.get_metrics(trainingjob_id))\n",
+ " mm_sdk.upload_model(\"./\", modelname, modelversion, artifactversion)\n",
+ " "
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
"<Response [200]>"
]
},
- "execution_count": 7,
+ "execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}