-
Notifications
You must be signed in to change notification settings - Fork 1.5k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Increase RAI tabular notebook component timeouts (#2663)
* Update responsibleaidashboard-diabetes-decision-making.ipynb * Update responsibleaidashboard-diabetes-regression-model-debugging.ipynb * Update responsibleaidashboard-housing-classification-model-debugging.ipynb * Update responsibleaidashboard-housing-decision-making.ipynb * Update responsibleaidashboard-programmer-regression-model-debugging.ipynb * Update responsibleaidashboard-diabetes-decision-making.ipynb * Update responsibleaidashboard-diabetes-regression-model-debugging.ipynb * Update responsibleaidashboard-housing-classification-model-debugging.ipynb * Update responsibleaidashboard-housing-decision-making.ipynb * Update responsibleaidashboard-programmer-regression-model-debugging.ipynb
- Loading branch information
1 parent
d769228
commit 76193ee
Showing
5 changed files
with
29 additions
and
29 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -668,7 +668,7 @@ | |
| " trained_model = train_model_component(\n", | ||
| " target_column_name=target_column_name, training_data=training_data\n", | ||
| " )\n", | ||
| " trained_model.set_limits(timeout=120)\n", | ||
| " trained_model.set_limits(timeout=3600)\n", | ||
| "\n", | ||
| " _ = register_component(\n", | ||
| " model_input_path=trained_model.outputs.model_output,\n", | ||
|
|
@@ -885,30 +885,30 @@ | |
| " # If you have further questions, contact [email protected]\n", | ||
| " use_model_dependency=True,\n", | ||
| " )\n", | ||
| " create_rai_job.set_limits(timeout=120)\n", | ||
| " create_rai_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Add causal analysis\n", | ||
| " causal_job = rai_causal_component(\n", | ||
| " rai_insights_dashboard=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " treatment_features=treatment_feature_names,\n", | ||
| " )\n", | ||
| " causal_job.set_limits(timeout=120)\n", | ||
| " causal_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Add counterfactual analysis\n", | ||
| " counterfactual_job = rai_counterfactual_component(\n", | ||
| " rai_insights_dashboard=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " total_cfs=20,\n", | ||
| " desired_range=desired_range,\n", | ||
| " )\n", | ||
| " counterfactual_job.set_limits(timeout=600)\n", | ||
| " counterfactual_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Combine everything\n", | ||
| " rai_gather_job = rai_gather_component(\n", | ||
| " constructor=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " insight_2=causal_job.outputs.causal,\n", | ||
| " insight_3=counterfactual_job.outputs.counterfactual,\n", | ||
| " )\n", | ||
| " rai_gather_job.set_limits(timeout=120)\n", | ||
| " rai_gather_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " rai_gather_job.outputs.dashboard.mode = \"upload\"\n", | ||
| " rai_gather_job.outputs.ux_json.mode = \"upload\"\n", | ||
|
|
||
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -662,7 +662,7 @@ | |
| " trained_model = train_model_component(\n", | ||
| " target_column_name=target_column_name, training_data=training_data\n", | ||
| " )\n", | ||
| " trained_model.set_limits(timeout=120)\n", | ||
| " trained_model.set_limits(timeout=3600)\n", | ||
| "\n", | ||
| " _ = register_component(\n", | ||
| " model_input_path=trained_model.outputs.model_output,\n", | ||
|
|
@@ -879,28 +879,28 @@ | |
| " # If you have further questions, contact [email protected]\n", | ||
| " use_model_dependency=True,\n", | ||
| " )\n", | ||
| " create_rai_job.set_limits(timeout=120)\n", | ||
| " create_rai_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Add an explanation\n", | ||
| " explain_job = rai_explanation_component(\n", | ||
| " comment=\"Explanation for the diabetes regression dataset\",\n", | ||
| " rai_insights_dashboard=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " )\n", | ||
| " explain_job.set_limits(timeout=120)\n", | ||
| " explain_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Add error analysis\n", | ||
| " erroranalysis_job = rai_erroranalysis_component(\n", | ||
| " rai_insights_dashboard=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " )\n", | ||
| " erroranalysis_job.set_limits(timeout=120)\n", | ||
| " erroranalysis_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Add counterfactual analysis\n", | ||
| " counterfactual_job = rai_counterfactual_component(\n", | ||
| " rai_insights_dashboard=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " total_cfs=20,\n", | ||
| " desired_range=json.dumps([50, 120]),\n", | ||
| " )\n", | ||
| " counterfactual_job.set_limits(timeout=600)\n", | ||
| " counterfactual_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Combine everything\n", | ||
| " rai_gather_job = rai_gather_component(\n", | ||
|
|
@@ -909,7 +909,7 @@ | |
| " insight_3=counterfactual_job.outputs.counterfactual,\n", | ||
| " insight_4=erroranalysis_job.outputs.error_analysis,\n", | ||
| " )\n", | ||
| " rai_gather_job.set_limits(timeout=120)\n", | ||
| " rai_gather_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " rai_gather_job.outputs.dashboard.mode = \"upload\"\n", | ||
| " rai_gather_job.outputs.ux_json.mode = \"upload\"\n", | ||
|
|
||
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -676,7 +676,7 @@ | |
| " trained_model = train_model_component(\n", | ||
| " target_column_name=target_column_name, training_data=training_data\n", | ||
| " )\n", | ||
| " trained_model.set_limits(timeout=120)\n", | ||
| " trained_model.set_limits(timeout=3600)\n", | ||
| "\n", | ||
| " _ = register_component(\n", | ||
| " model_input_path=trained_model.outputs.model_output,\n", | ||
|
|
@@ -902,35 +902,35 @@ | |
| " # If you have further questions, contact [email protected]\n", | ||
| " use_model_dependency=True,\n", | ||
| " )\n", | ||
| " create_rai_job.set_limits(timeout=120)\n", | ||
| " create_rai_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Add an explanation\n", | ||
| " explain_job = rai_explanation_component(\n", | ||
| " comment=\"Explanation for the housing dataset\",\n", | ||
| " rai_insights_dashboard=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " )\n", | ||
| " explain_job.set_limits(timeout=120)\n", | ||
| " explain_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Add causal analysis\n", | ||
| " causal_job = rai_causal_component(\n", | ||
| " rai_insights_dashboard=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " treatment_features=treatment_features,\n", | ||
| " )\n", | ||
| " causal_job.set_limits(timeout=120)\n", | ||
| " causal_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Add counterfactual analysis\n", | ||
| " counterfactual_job = rai_counterfactual_component(\n", | ||
| " rai_insights_dashboard=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " total_cfs=10,\n", | ||
| " desired_class=\"opposite\",\n", | ||
| " )\n", | ||
| " counterfactual_job.set_limits(timeout=600)\n", | ||
| " counterfactual_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Add error analysis\n", | ||
| " erroranalysis_job = rai_erroranalysis_component(\n", | ||
| " rai_insights_dashboard=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " )\n", | ||
| " erroranalysis_job.set_limits(timeout=120)\n", | ||
| " erroranalysis_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Combine everything\n", | ||
| " rai_gather_job = rai_gather_component(\n", | ||
|
|
@@ -940,7 +940,7 @@ | |
| " insight_3=counterfactual_job.outputs.counterfactual,\n", | ||
| " insight_4=erroranalysis_job.outputs.error_analysis,\n", | ||
| " )\n", | ||
| " rai_gather_job.set_limits(timeout=120)\n", | ||
| " rai_gather_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " rai_gather_job.outputs.dashboard.mode = \"upload\"\n", | ||
| " rai_gather_job.outputs.ux_json.mode = \"upload\"\n", | ||
|
|
||
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -671,7 +671,7 @@ | |
| " trained_model = train_model_component(\n", | ||
| " target_column_name=target_column_name, training_data=training_data\n", | ||
| " )\n", | ||
| " trained_model.set_limits(timeout=120)\n", | ||
| " trained_model.set_limits(timeout=3600)\n", | ||
| "\n", | ||
| " _ = register_component(\n", | ||
| " model_input_path=trained_model.outputs.model_output,\n", | ||
|
|
@@ -882,21 +882,21 @@ | |
| " # If you have further questions, contact [email protected]\n", | ||
| " use_model_dependency=True,\n", | ||
| " )\n", | ||
| " create_rai_job.set_limits(timeout=120)\n", | ||
| " create_rai_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Add causal analysis\n", | ||
| " causal_job = rai_causal_component(\n", | ||
| " rai_insights_dashboard=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " treatment_features=treatment_feature_names,\n", | ||
| " )\n", | ||
| " causal_job.set_limits(timeout=120)\n", | ||
| " causal_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Combine everything\n", | ||
| " rai_gather_job = rai_gather_component(\n", | ||
| " constructor=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " insight_1=causal_job.outputs.causal,\n", | ||
| " )\n", | ||
| " rai_gather_job.set_limits(timeout=120)\n", | ||
| " rai_gather_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " rai_gather_job.outputs.dashboard.mode = \"upload\"\n", | ||
| " rai_gather_job.outputs.ux_json.mode = \"upload\"\n", | ||
|
|
||
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -706,7 +706,7 @@ | |
| " trained_model = train_model_component(\n", | ||
| " target_column_name=target_column_name, training_data=training_data\n", | ||
| " )\n", | ||
| " trained_model.set_limits(timeout=120)\n", | ||
| " trained_model.set_limits(timeout=3600)\n", | ||
| "\n", | ||
| " _ = register_component(\n", | ||
| " model_input_path=trained_model.outputs.model_output,\n", | ||
|
|
@@ -936,36 +936,36 @@ | |
| " # If you have further questions, contact [email protected]\n", | ||
| " use_model_dependency=True,\n", | ||
| " )\n", | ||
| " create_rai_job.set_limits(timeout=120)\n", | ||
| " create_rai_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Add an explanation\n", | ||
| " explain_job = rai_explanation_component(\n", | ||
| " comment=\"Explanation for the programmers dataset\",\n", | ||
| " rai_insights_dashboard=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " )\n", | ||
| " explain_job.set_limits(timeout=120)\n", | ||
| " explain_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Add causal analysis\n", | ||
| " causal_job = rai_causal_component(\n", | ||
| " rai_insights_dashboard=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " treatment_features=treatment_features,\n", | ||
| " )\n", | ||
| " causal_job.set_limits(timeout=180)\n", | ||
| " causal_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Add counterfactual analysis\n", | ||
| " counterfactual_job = rai_counterfactual_component(\n", | ||
| " rai_insights_dashboard=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " total_cfs=10,\n", | ||
| " desired_range=desired_range,\n", | ||
| " )\n", | ||
| " counterfactual_job.set_limits(timeout=600)\n", | ||
| " counterfactual_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Add error analysis\n", | ||
| " erroranalysis_job = rai_erroranalysis_component(\n", | ||
| " rai_insights_dashboard=create_rai_job.outputs.rai_insights_dashboard,\n", | ||
| " filter_features=filter_columns,\n", | ||
| " )\n", | ||
| " erroranalysis_job.set_limits(timeout=120)\n", | ||
| " erroranalysis_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " # Combine everything\n", | ||
| " rai_gather_job = rai_gather_component(\n", | ||
|
|
@@ -975,7 +975,7 @@ | |
| " insight_3=counterfactual_job.outputs.counterfactual,\n", | ||
| " insight_4=erroranalysis_job.outputs.error_analysis,\n", | ||
| " )\n", | ||
| " rai_gather_job.set_limits(timeout=120)\n", | ||
| " rai_gather_job.set_limits(timeout=7200)\n", | ||
| "\n", | ||
| " rai_gather_job.outputs.dashboard.mode = \"upload\"\n", | ||
| " rai_gather_job.outputs.ux_json.mode = \"upload\"\n", | ||
|
|
||