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Author SHA1 Message Date
gcf-merge-on-green[bot]andGitHub acf040cd6d Merge branch 'main' into immkc--remove-unneeded-cells 2022-11-23 19:08:15 +00:00
ivanmkc b4e8b4ed2b Removed unused cells 2022-11-23 11:33:28 -05:00
@@ -559,150 +559,6 @@
"print(training_job)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "create_automl_pipeline:tabular,lrg,transformations"
},
"outputs": [],
"source": [
"training_job = aiplatform.AutoMLTabularTrainingJob(\n",
" display_name=\"job_unique\",\n",
" optimization_prediction_type=\"regression\",\n",
" optimization_objective=\"minimize-rmse\",\n",
" column_specs=COLUMN_SPECS,\n",
")\n",
"\n",
"print(training_job)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "create_automl_pipeline:tabular,lrg,transformations"
},
"outputs": [],
"source": [
"training_job = aiplatform.AutoMLTabularTrainingJob(\n",
" display_name=\"job_unique\",\n",
" optimization_prediction_type=\"regression\",\n",
" optimization_objective=\"minimize-rmse\",\n",
" column_specs=COLUMN_SPECS,\n",
")\n",
"\n",
"print(training_job)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "create_automl_pipeline:tabular,lrg,transformations"
},
"outputs": [],
"source": [
"training_job = aiplatform.AutoMLTabularTrainingJob(\n",
" display_name=\"job_unique\",\n",
" optimization_prediction_type=\"regression\",\n",
" optimization_objective=\"minimize-rmse\",\n",
" column_specs=COLUMN_SPECS,\n",
")\n",
"\n",
"print(training_job)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "create_automl_pipeline:tabular,lrg,transformations"
},
"outputs": [],
"source": [
"training_job = aiplatform.AutoMLTabularTrainingJob(\n",
" display_name=\"job_unique\",\n",
" optimization_prediction_type=\"regression\",\n",
" optimization_objective=\"minimize-rmse\",\n",
" column_specs=COLUMN_SPECS,\n",
")\n",
"\n",
"print(training_job)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "create_automl_pipeline:tabular,lrg,transformations"
},
"outputs": [],
"source": [
"training_job = aiplatform.AutoMLTabularTrainingJob(\n",
" display_name=\"job_unique\",\n",
" optimization_prediction_type=\"regression\",\n",
" optimization_objective=\"minimize-rmse\",\n",
" column_specs=COLUMN_SPECS,\n",
")\n",
"\n",
"print(training_job)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "create_automl_pipeline:tabular,lrg,transformations"
},
"outputs": [],
"source": [
"training_job = aiplatform.AutoMLTabularTrainingJob(\n",
" display_name=\"job_unique\",\n",
" optimization_prediction_type=\"regression\",\n",
" optimization_objective=\"minimize-rmse\",\n",
" column_specs=COLUMN_SPECS,\n",
")\n",
"\n",
"print(training_job)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "create_automl_pipeline:tabular,lrg,transformations"
},
"outputs": [],
"source": [
"training_job = aiplatform.AutoMLTabularTrainingJob(\n",
" display_name=\"job_unique\",\n",
" optimization_prediction_type=\"regression\",\n",
" optimization_objective=\"minimize-rmse\",\n",
" column_specs=COLUMN_SPECS,\n",
")\n",
"\n",
"print(training_job)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "create_automl_pipeline:tabular,lrg,transformations"
},
"outputs": [],
"source": [
"training_job = aiplatform.AutoMLTabularTrainingJob(\n",
" display_name=\"job_unique\",\n",
" optimization_prediction_type=\"regression\",\n",
" optimization_objective=\"minimize-rmse\",\n",
" column_specs=COLUMN_SPECS,\n",
")\n",
"\n",
"print(training_job)"
]
},
{
"cell_type": "markdown",
"metadata": {