From 8e06677eeebb27a848bfc673d188a495b7e7ec04 Mon Sep 17 00:00:00 2001 From: Cindy Weng <8880364+cindyweng@users.noreply.github.com> Date: Fri, 3 Jun 2022 09:36:33 +0100 Subject: [PATCH 1/4] Update deploy-batch-endpoint-pipeline.yml --- .../mlops/devops-pipelines/deploy-batch-endpoint-pipeline.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/classical/aml-cli-v2/mlops/devops-pipelines/deploy-batch-endpoint-pipeline.yml b/classical/aml-cli-v2/mlops/devops-pipelines/deploy-batch-endpoint-pipeline.yml index 915f559..e392b3d 100644 --- a/classical/aml-cli-v2/mlops/devops-pipelines/deploy-batch-endpoint-pipeline.yml +++ b/classical/aml-cli-v2/mlops/devops-pipelines/deploy-batch-endpoint-pipeline.yml @@ -45,6 +45,7 @@ stages: - template: templates/${{ variables.version }}/create-compute.yml@mlops-templates parameters: cluster_name: batch-cluster # name must match cluster name in deployment file below + size: STANDARD_DS3_V2 min_instances: 0 max_instances: 5 - template: templates/${{ variables.version }}/create-endpoint.yml@mlops-templates From 12179548fc65bb2c210c40e83d24e6930c28c809 Mon Sep 17 00:00:00 2001 From: Cindy Weng <8880364+cindyweng@users.noreply.github.com> Date: Fri, 3 Jun 2022 10:14:13 +0100 Subject: [PATCH 2/4] Update deploy-batch-endpoint-pipeline.yml --- .../mlops/devops-pipelines/deploy-batch-endpoint-pipeline.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/classical/aml-cli-v2/mlops/devops-pipelines/deploy-batch-endpoint-pipeline.yml b/classical/aml-cli-v2/mlops/devops-pipelines/deploy-batch-endpoint-pipeline.yml index e392b3d..1869e6e 100644 --- a/classical/aml-cli-v2/mlops/devops-pipelines/deploy-batch-endpoint-pipeline.yml +++ b/classical/aml-cli-v2/mlops/devops-pipelines/deploy-batch-endpoint-pipeline.yml @@ -48,6 +48,7 @@ stages: size: STANDARD_DS3_V2 min_instances: 0 max_instances: 5 + cluster_tier: dedicated - template: templates/${{ variables.version }}/create-endpoint.yml@mlops-templates parameters: endpoint_file: mlops/azureml/deploy/batch/batch-endpoint.yml From b938f9cc5b556795de397d999247667ef713c9ab Mon Sep 17 00:00:00 2001 From: Maggie Mhanna Date: Fri, 3 Jun 2022 12:44:00 +0000 Subject: [PATCH 3/4] using scikit-learn model instead of scikit-learn pipeline --- .../aml-cli-v2/data-science/src/evaluate.py | 9 +++-- .../aml-cli-v2/data-science/src/train.py | 34 ++++++++++++------- 2 files changed, 26 insertions(+), 17 deletions(-) diff --git a/classical/aml-cli-v2/data-science/src/evaluate.py b/classical/aml-cli-v2/data-science/src/evaluate.py index af772fd..e979f1a 100644 --- a/classical/aml-cli-v2/data-science/src/evaluate.py +++ b/classical/aml-cli-v2/data-science/src/evaluate.py @@ -205,18 +205,17 @@ def main(): # -------------------- Explainability ------------------- # - tree_explainer = TabularExplainer(model.steps[-1][1], + tabular_explainer = TabularExplainer(model, initialization_examples=X_train, - features=X_train.columns, - transformations=model.steps[0][1]) + features=X_train.columns) # save explainer - #joblib.dump(tree_explainer, os.path.join(tree_explainer, "explainer")) + #joblib.dump(tabular_explainer, os.path.join(tabular_explainer, "explainer")) # find global explanations for feature importance # you can use the training data or the test data here, # but test data would allow you to use Explanation Exploration - global_explanation = tree_explainer.explain_global(X_test) + global_explanation = tabular_explainer.explain_global(X_test) # sorted feature importance values and feature names sorted_global_importance_values = global_explanation.get_ranked_global_values() diff --git a/classical/aml-cli-v2/data-science/src/train.py b/classical/aml-cli-v2/data-science/src/train.py index ee82304..391517a 100644 --- a/classical/aml-cli-v2/data-science/src/train.py +++ b/classical/aml-cli-v2/data-science/src/train.py @@ -131,15 +131,25 @@ def main(): # append regressor to preprocessing pipeline. # now we have a full prediction pipeline. - pipeline = Pipeline(steps=[('preprocessor', preprocessor), - ('regressor', RandomForestRegressor( - n_estimators = args.regressor__n_estimators, - bootstrap = args.regressor__bootstrap, - max_depth = args.regressor__max_depth, - max_features = args.regressor__max_features, - min_samples_leaf = args.regressor__min_samples_leaf, - min_samples_split = args.regressor__min_samples_split, - random_state=0))]) + + #model = Pipeline(steps=[('preprocessor', preprocessor), + # ('regressor', RandomForestRegressor( + # n_estimators = args.regressor__n_estimators, + # bootstrap = args.regressor__bootstrap, + # max_depth = args.regressor__max_depth, + # max_features = args.regressor__max_features, + # min_samples_leaf = args.regressor__min_samples_leaf, + # min_samples_split = args.regressor__min_samples_split, + # random_state=0))]) + + + model = RandomForestRegressor(n_estimators = args.regressor__n_estimators, + bootstrap = args.regressor__bootstrap, + max_depth = args.regressor__max_depth, + max_features = args.regressor__max_features, + min_samples_leaf = args.regressor__min_samples_leaf, + min_samples_split = args.regressor__min_samples_split, + random_state=0) mlflow.log_param("model", "RandomForestRegressor") mlflow.log_param("n_estimators", args.regressor__n_estimators) @@ -149,10 +159,10 @@ def main(): mlflow.log_param("min_samples_leaf", args.regressor__min_samples_leaf) mlflow.log_param("min_samples_split", args.regressor__min_samples_split) - pipeline.fit(X_train, y_train) + model.fit(X_train, y_train) # Predict using the Regression Model - yhat_train = pipeline.predict(X_train) + yhat_train = model.predict(X_train) # Evaluate Regression performance with the train set r2 = r2_score(y_train, yhat_train) @@ -174,7 +184,7 @@ def main(): mlflow.log_artifact("regression_results.png") # Save the model - pickle.dump(pipeline, open((Path(args.model_output) / "model.pkl"), "wb")) + pickle.dump(model, open((Path(args.model_output) / "model.pkl"), "wb")) if __name__ == "__main__": main() From ba2ee7739d0075e10bb41f041f21d77282617f34 Mon Sep 17 00:00:00 2001 From: Scott Donohoo Date: Fri, 3 Jun 2022 13:27:55 -0500 Subject: [PATCH 4/4] Update architecture patterns to current --- .../AzureML_CML_Architecture.png | Bin 0 -> 146979 bytes .../AzureML_CML_Architecture.vsdx | Bin 0 -> 302006 bytes .../AzureML_CML_Architecture_v0.7.jpg | Bin 330948 -> 0 bytes ...AzureML_NLP_Classification_Architecture.png | Bin 0 -> 150475 bytes ...zureML_NLP_Classification_Architecture.vsdx | Bin 0 -> 302194 bytes .../AzureML_SupervisedCV_Architecture.png | Bin 0 -> 148030 bytes .../AzureML_SupervisedCV_Architecture.vsdx | Bin 0 -> 301186 bytes .../AzureML_SupervisedCV_Architecture_v0.5.jpg | Bin 346728 -> 0 bytes 8 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 documentation/architecturepattern/AzureML_CML_Architecture.png create mode 100644 documentation/architecturepattern/AzureML_CML_Architecture.vsdx delete mode 100644 documentation/architecturepattern/AzureML_CML_Architecture_v0.7.jpg create mode 100644 documentation/architecturepattern/AzureML_NLP_Classification_Architecture.png create mode 100644 documentation/architecturepattern/AzureML_NLP_Classification_Architecture.vsdx create mode 100644 documentation/architecturepattern/AzureML_SupervisedCV_Architecture.png create mode 100644 documentation/architecturepattern/AzureML_SupervisedCV_Architecture.vsdx delete mode 100644 documentation/architecturepattern/AzureML_SupervisedCV_Architecture_v0.5.jpg diff --git a/documentation/architecturepattern/AzureML_CML_Architecture.png b/documentation/architecturepattern/AzureML_CML_Architecture.png new file mode 100644 index 0000000000000000000000000000000000000000..4dc722ff7f4e7b604f8e2d2b0ef4a58f2501ccae GIT binary patch literal 146979 zcmeFZby(AVA3r)l#R3dKK|%$jK}l(81nG?qm5u?@4T6f2($d0+F-k^A2$)Fc2GS}$ zN`ZkR&u6IjeS1GX&pE&U&ULQCr57;v{eIr@diVRg$C~O&7<_nzZ|rdQIml{%A${N-#!F>KkBS(;0l4zuoC|t 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