Merge branch 'main' into vizhur-patch-2

Azure · Jan 10, 2025 · 9974289 · 9974289
2 parents 46655e8 + c8c40e7
commit 9974289
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diff --git a/assets/designer/environments/designer-cv-transform/context/conda_dependencies.yaml b/assets/designer/environments/designer-cv-transform/context/conda_dependencies.yaml
@@ -13,4 +13,4 @@ dependencies:
   - pytorch=2.3.1
   - torchvision=0.18.1
   - pip:
-      - azureml-designer-cv-modules==0.0.64
+      - azureml-designer-cv-modules==0.0.66
diff --git a/assets/designer/environments/designer-cv/context/conda_dependencies.yaml b/assets/designer/environments/designer-cv/context/conda_dependencies.yaml
@@ -9,4 +9,4 @@ dependencies:
   - numpy==1.23.5
   - scipy==1.10.0
   - pip:
-      - azureml-designer-cv-modules==0.0.64
+      - azureml-designer-cv-modules==0.0.66
diff --git a/assets/designer/environments/designer-r/context/conda_dependencies.yaml b/assets/designer/environments/designer-r/context/conda_dependencies.yaml
@@ -35,4 +35,4 @@ dependencies:
   - numpy==1.23.5
   - scipy==1.10.0
   - pip:
-      - azureml-designer-classic-modules==0.0.189
+      - azureml-designer-classic-modules==0.0.191
diff --git a/assets/designer/environments/designer/context/conda_dependencies.yaml b/assets/designer/environments/designer/context/conda_dependencies.yaml
@@ -8,6 +8,6 @@ dependencies:
   - numpy==1.23.5
   - scipy==1.10.0
   - pip:
-    - azureml-designer-classic-modules==0.0.189
+    - azureml-designer-classic-modules==0.0.191
     - https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.3.1/en_core_web_sm-2.3.1.tar.gz
 
diff --git a/assets/model_monitoring/components/data_drift/data_drift_compute_metrics/spec.yaml b/assets/model_monitoring/components/data_drift/data_drift_compute_metrics/spec.yaml
@@ -4,7 +4,7 @@ type: spark
 name: data_drift_compute_metrics
 display_name: Data Drift - Compute Metrics
 description: Compute data drift metrics given a baseline and a deployment's model data input.
-version: 0.3.28
+version: 0.3.29
 is_deterministic: true
 
 code: ../../src
@@ -64,7 +64,7 @@ conf:
     dependencies:
       - pip:
         - azure-storage-file-datalake~=12.8.0
-        - azure-ai-ml~=1.13.0
+        - azure-ai-ml~=1.23.1
         - azureml-mlflow~=1.49.0
         - mltable~=1.3.0
         - azureml-fsspec~=1.0.0

diff --git a/assets/model_monitoring/components/data_drift/data_drift_signal_monitor/spec.yaml b/assets/model_monitoring/components/data_drift/data_drift_signal_monitor/spec.yaml
@@ -4,7 +4,7 @@ type: pipeline
 name: data_drift_signal_monitor
 display_name: Data Drift - Signal Monitor
 description: Computes the data drift between a baseline and production data assets.
-version: 0.3.49
+version: 0.3.50
 is_deterministic: true
 
 inputs:
@@ -63,7 +63,7 @@ outputs:
 jobs:
   compute_feature_importances:
     type: spark
-    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.26
+    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.27
     inputs:
       baseline_data:
         type: mltable
@@ -82,7 +82,7 @@ jobs:
       type: aml_token
   feature_selection:
     type: spark
-    component: azureml://registries/azureml/components/model_monitor_feature_selector/versions/0.3.23
+    component: azureml://registries/azureml/components/model_monitor_feature_selector/versions/0.3.24
     inputs:
       input_data_1:
         type: mltable
@@ -103,7 +103,7 @@ jobs:
       type: aml_token
   compute_drift_metrics:
     type: spark
-    component: azureml://registries/azureml/components/data_drift_compute_metrics/versions/0.3.28
+    component: azureml://registries/azureml/components/data_drift_compute_metrics/versions/0.3.29
     inputs:
       production_dataset:
         type: mltable
@@ -130,7 +130,7 @@ jobs:
       type: aml_token
   compute_histogram_buckets:
     type: spark
-    component: azureml://registries/azureml/components/model_monitor_compute_histogram_buckets/versions/0.3.22
+    component: azureml://registries/azureml/components/model_monitor_compute_histogram_buckets/versions/0.3.23
     inputs:
       input_data_1:
         type: mltable
@@ -150,7 +150,7 @@ jobs:
       type: aml_token
   compute_baseline_histogram:
     type: spark
-    component: azureml://registries/azureml/components/model_monitor_compute_histogram/versions/0.3.22
+    component: azureml://registries/azureml/components/model_monitor_compute_histogram/versions/0.3.23
     inputs:
       input_data:
         type: mltable
@@ -170,7 +170,7 @@ jobs:
       type: aml_token
   compute_target_histogram:
     type: spark
-    component: azureml://registries/azureml/components/model_monitor_compute_histogram/versions/0.3.22
+    component: azureml://registries/azureml/components/model_monitor_compute_histogram/versions/0.3.23
     inputs:
       input_data:
         type: mltable
@@ -190,7 +190,7 @@ jobs:
       type: aml_token
   output_signal_metrics:
     type: spark
-    component: azureml://registries/azureml/components/model_monitor_output_metrics/versions/0.3.27
+    component: azureml://registries/azureml/components/model_monitor_output_metrics/versions/0.3.28
     inputs:
       signal_metrics:
         type: mltable
@@ -218,7 +218,7 @@ jobs:
       type: aml_token
   evaluate_metric_thresholds:
     type: spark
-    component: azureml://registries/azureml/components/model_monitor_evaluate_metrics_threshold/versions/0.3.27
+    component: azureml://registries/azureml/components/model_monitor_evaluate_metrics_threshold/versions/0.3.28
     inputs:
       signal_metrics:
         type: mltable

diff --git a/assets/model_monitoring/components/data_quality/data_quality_compute_metrics/spec.yaml b/assets/model_monitoring/components/data_quality/data_quality_compute_metrics/spec.yaml
@@ -4,7 +4,7 @@ type: spark
 name: data_quality_compute_metrics
 display_name:  Data Quality - Compute Metrics
 description: Compute data quality metrics leveraged by the data quality monitor.
-version: 0.3.27
+version: 0.3.28
 is_deterministic: true
 
 inputs:
@@ -54,7 +54,7 @@ conf:
     dependencies:
       - pip:
         - azure-storage-file-datalake~=12.8.0
-        - azure-ai-ml~=1.13.0
+        - azure-ai-ml~=1.23.1
         - azureml-mlflow~=1.49.0
         - mltable~=1.3.0
         - azureml-fsspec~=1.0.0

diff --git a/assets/model_monitoring/components/data_quality/data_quality_metrics_joiner/spec.yaml b/assets/model_monitoring/components/data_quality/data_quality_metrics_joiner/spec.yaml
@@ -4,7 +4,7 @@ type: spark
 name: data_quality_metrics_joiner
 display_name:  Data Quality - Metrics Joiner
 description: Join baseline and target data quality metrics into a single output.
-version: 0.3.20
+version: 0.3.21
 is_deterministic: true
 
 inputs:
@@ -43,7 +43,7 @@ conf:
     dependencies:
       - pip:
         - azure-storage-file-datalake~=12.8.0
-        - azure-ai-ml~=1.13.0
+        - azure-ai-ml~=1.23.1
         - azureml-mlflow~=1.49.0
         - mltable~=1.3.0
         - azureml-fsspec~=1.0.0

diff --git a/assets/model_monitoring/components/data_quality/data_quality_signal_monitor/spec.yaml b/assets/model_monitoring/components/data_quality/data_quality_signal_monitor/spec.yaml
@@ -4,7 +4,7 @@ type: pipeline
 name: data_quality_signal_monitor
 display_name: Data Quality - Signal Monitor
 description: Computes the data quality of a target dataset with reference to a baseline.
-version: 0.3.47
+version: 0.3.48
 is_deterministic: true
 
 inputs:
@@ -63,7 +63,7 @@ outputs:
 jobs:
   compute_feature_importances:
     type: spark
-    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.26
+    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.27
     inputs:
       baseline_data:
         type: mltable
@@ -82,7 +82,7 @@ jobs:
       type: aml_token
   feature_selection:
     type: spark
-    component: azureml://registries/azureml/components/model_monitor_feature_selector/versions/0.3.23
+    component: azureml://registries/azureml/components/model_monitor_feature_selector/versions/0.3.24
     inputs:
       input_data_1:
         type: mltable
@@ -103,7 +103,7 @@ jobs:
       type: aml_token
   compute_baseline_data_statistics:
     type: spark
-    component: azureml://registries/azureml/components/data_quality_data_statistics/versions/0.3.22
+    component: azureml://registries/azureml/components/data_quality_data_statistics/versions/0.3.23
     inputs:
       baseline_data:
         type: mltable
@@ -120,7 +120,7 @@ jobs:
       type: aml_token
   compute_baseline_data_quality:
     type: spark
-    component: azureml://registries/azureml/components/data_quality_compute_metrics/versions/0.3.27
+    component: azureml://registries/azureml/components/data_quality_compute_metrics/versions/0.3.28
     inputs:
       input_data:
         type: mltable
@@ -145,7 +145,7 @@ jobs:
       type: aml_token
   compute_target_data_quality:
     type: spark
-    component: azureml://registries/azureml/components/data_quality_compute_metrics/versions/0.3.27
+    component: azureml://registries/azureml/components/data_quality_compute_metrics/versions/0.3.28
     inputs:
       input_data:
         type: mltable
@@ -168,7 +168,7 @@ jobs:
       type: aml_token
   join_data_quality_metrics:
     type: spark
-    component: azureml://registries/azureml/components/data_quality_metrics_joiner/versions/0.3.20
+    component: azureml://registries/azureml/components/data_quality_metrics_joiner/versions/0.3.21
     inputs:
       baseline_metrics:
         type: mltable
@@ -188,7 +188,7 @@ jobs:
       type: aml_token
   output_signal_metrics:
     type: spark
-    component: azureml://registries/azureml/components/model_monitor_output_metrics/versions/0.3.27
+    component: azureml://registries/azureml/components/model_monitor_output_metrics/versions/0.3.28
     inputs:
       signal_metrics:
         type: mltable
@@ -210,7 +210,7 @@ jobs:
       type: aml_token
   evaluate_metric_thresholds:
     type: spark
-    component: azureml://registries/azureml/components/model_monitor_evaluate_metrics_threshold/versions/0.3.27
+    component: azureml://registries/azureml/components/model_monitor_evaluate_metrics_threshold/versions/0.3.28
     inputs:
       signal_metrics:
         type: mltable

diff --git a/assets/model_monitoring/components/data_quality/data_quality_statistics/spec.yaml b/assets/model_monitoring/components/data_quality/data_quality_statistics/spec.yaml
@@ -4,7 +4,7 @@ type: spark
 name: data_quality_data_statistics
 display_name: Data Quality - Data Statistics
 description: Compute data statistics leveraged by the data quality monitor.
-version: 0.3.22
+version: 0.3.23
 is_deterministic: true
 
 inputs:
@@ -42,7 +42,7 @@ conf:
     dependencies:
       - pip:
         - azure-storage-file-datalake~=12.8.0
-        - azure-ai-ml~=1.13.0
+        - azure-ai-ml~=1.23.1
         - azureml-mlflow~=1.49.0
         - mltable~=1.3.0
         - azureml-fsspec~=1.0.0

diff --git a/.../components/feature_attribution_drift/feature_attribution_drift_compute_metrics/spec.yaml b/.../components/feature_attribution_drift/feature_attribution_drift_compute_metrics/spec.yaml
@@ -2,7 +2,7 @@ $schema: http://azureml/sdk-2-0/SparkComponent.json
 type: spark
 
 name: feature_attribution_drift_compute_metrics
-version: 0.3.23
+version: 0.3.24
 display_name: Feature Attribution Drift - Compute Metrics
 is_deterministic: true
 description: Feature attribution drift using model monitoring.

diff --git a/...g/components/feature_attribution_drift/feature_attribution_drift_signal_monitor/spec.yaml b/...g/components/feature_attribution_drift/feature_attribution_drift_signal_monitor/spec.yaml
@@ -4,7 +4,7 @@ type: pipeline
 name: feature_attribution_drift_signal_monitor
 display_name: Feature Attribution Drift - Signal Monitor
 description: Computes the feature attribution between a baseline and production data assets.
-version: 0.3.39
+version: 0.3.40
 is_deterministic: true
 
 inputs:
@@ -44,7 +44,7 @@ outputs:
 jobs:
   compute_baseline_explanations:
     type: spark
-    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.26
+    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.27
     inputs:
       baseline_data:
         type: mltable
@@ -63,7 +63,7 @@ jobs:
       type: aml_token
   compute_production_explanations:
     type: spark
-    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.26
+    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.27
     inputs:
       baseline_data:
         type: mltable
@@ -82,7 +82,7 @@ jobs:
       type: aml_token
   compute_feature_attribution:
     type: spark
-    component: azureml://registries/azureml/components/feature_attribution_drift_compute_metrics/versions/0.3.23
+    component: azureml://registries/azureml/components/feature_attribution_drift_compute_metrics/versions/0.3.24
     inputs:
       production_data:
         type: mltable
@@ -101,7 +101,7 @@ jobs:
       type: aml_token
   output_signal_metrics:
     type: spark
-    component: azureml://registries/azureml/components/model_monitor_output_metrics/versions/0.3.27
+    component: azureml://registries/azureml/components/model_monitor_output_metrics/versions/0.3.28
     inputs:
       signal_metrics:
         type: mltable
@@ -122,7 +122,7 @@ jobs:
       type: aml_token
   evaluate_metric_thresholds:
     type: spark
-    component: azureml://registries/azureml/components/model_monitor_evaluate_metrics_threshold/versions/0.3.27
+    component: azureml://registries/azureml/components/model_monitor_evaluate_metrics_threshold/versions/0.3.28
     inputs:
       signal_metrics:
         type: mltable

diff --git a/...odel_monitoring/components/feature_attribution_drift/feature_importance_metrics/spec.yaml b/...odel_monitoring/components/feature_attribution_drift/feature_importance_metrics/spec.yaml
@@ -2,7 +2,7 @@ $schema: http://azureml/sdk-2-0/SparkComponent.json
 type: spark
 
 name: feature_importance_metrics
-version: 0.3.26
+version: 0.3.27
 display_name: Feature importance
 is_deterministic: true
 description: Feature importance for model monitoring.
@@ -48,7 +48,7 @@ conf:
     dependencies:
     - pip:
         - azure-storage-file-datalake~=12.8.0
-        - azure-ai-ml~=1.13.0
+        - azure-ai-ml~=1.23.1
         - mltable~=1.3.0
         - interpret-community[mimic]~=0.31.0
         - azureml-fsspec~=1.0.0

diff --git a/...toring/components/genai_token_statistics/genai_token_statistics_compute_metrics/spec.yaml b/...toring/components/genai_token_statistics/genai_token_statistics_compute_metrics/spec.yaml
@@ -4,7 +4,7 @@ type: spark
 name: genai_token_statistics_compute_metrics
 display_name:  GenAI Token Statistics - Compute Metrics
 description: Compute token statistics metrics.
-version: 0.0.16
+version: 0.0.17
 is_deterministic: true
 
 inputs:
@@ -42,7 +42,7 @@ conf:
     dependencies:
       - pip:
         - azure-storage-file-datalake~=12.8.0
-        - azure-ai-ml~=1.13.0
+        - azure-ai-ml~=1.23.1
         - azureml-mlflow~=1.49.0
         - mltable~=1.3.0
         - azureml-fsspec~=1.0.0

diff --git a/...itoring/components/genai_token_statistics/genai_token_statistics_signal_monitor/spec.yaml b/...itoring/components/genai_token_statistics/genai_token_statistics_signal_monitor/spec.yaml
@@ -4,7 +4,7 @@ type: pipeline
 name: genai_token_statistics_signal_monitor
 display_name: GenAI Token Statistics - Signal Monitor
 description: Computes the token and cost metrics over LLM outputs.
-version: 0.0.16
+version: 0.0.17
 is_deterministic: true
 inputs:
   monitor_name:
@@ -30,7 +30,7 @@ outputs:
 jobs:
   compute_metrics:
     type: spark
-    component: azureml://registries/azureml/components/genai_token_statistics_compute_metrics/versions/0.0.16
+    component: azureml://registries/azureml/components/genai_token_statistics_compute_metrics/versions/0.0.17
     inputs:
       production_dataset:
         type: mltable
@@ -49,7 +49,7 @@ jobs:
       type: aml_token
   output_signal_metrics: 
     type: spark
-    component: azureml://registries/azureml/components/model_monitor_metric_outputter/versions/0.3.30
+    component: azureml://registries/azureml/components/model_monitor_metric_outputter/versions/0.3.31
     inputs:
       signal_metrics:
         type: mltable