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Regression notebook: Remove unneeded cells (#1297)

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Removed unneeded cells.
This commit is contained in:
Ivan Cheung
2022-11-23 21:38:13 +00:00
committed by GitHub
parent ad1a827824
commit 7a1b262154
1 changed files with 0 additions and 144 deletions
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notebooks/official/automl/sdk_automl_tabular_regression_batch_bq.ipynb
-144
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@@ -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": {