Update model monitor version

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: 0.3.33
+version: 0.3.34
 is_deterministic: true
 
 code: ../../src

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: 0.3.54
+version: 0.3.55
 is_deterministic: true
 
 inputs:
@@ -63,7 +63,7 @@ outputs:
 jobs:
   compute_feature_importances:
     type: spark
-    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.31
+    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.32
     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/0.3.28
+    component: azureml://registries/azureml/components/model_monitor_feature_selector/versions/0.3.29
     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/0.3.33
+    component: azureml://registries/azureml/components/data_drift_compute_metrics/versions/0.3.34
     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/0.3.27
+    component: azureml://registries/azureml/components/model_monitor_compute_histogram_buckets/versions/0.3.28
     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/0.3.27
+    component: azureml://registries/azureml/components/model_monitor_compute_histogram/versions/0.3.28
     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/0.3.27
+    component: azureml://registries/azureml/components/model_monitor_compute_histogram/versions/0.3.28
     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/0.3.32
+    component: azureml://registries/azureml/components/model_monitor_output_metrics/versions/0.3.33
     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/0.3.32
+    component: azureml://registries/azureml/components/model_monitor_evaluate_metrics_threshold/versions/0.3.33
     inputs:
       signal_metrics:
         type: mltable

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: 0.3.32
+version: 0.3.33
 is_deterministic: true
 
 inputs:

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: 0.3.25
+version: 0.3.26
 is_deterministic: true
 
 inputs:

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: 0.3.52
+version: 0.3.53
 is_deterministic: true
 
 inputs:
@@ -63,7 +63,7 @@ outputs:
 jobs:
   compute_feature_importances:
     type: spark
-    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.31
+    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.32
     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/0.3.28
+    component: azureml://registries/azureml/components/model_monitor_feature_selector/versions/0.3.29
     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/0.3.27
+    component: azureml://registries/azureml/components/data_quality_data_statistics/versions/0.3.28
     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/0.3.32
+    component: azureml://registries/azureml/components/data_quality_compute_metrics/versions/0.3.33
     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/0.3.32
+    component: azureml://registries/azureml/components/data_quality_compute_metrics/versions/0.3.33
     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/0.3.25
+    component: azureml://registries/azureml/components/data_quality_metrics_joiner/versions/0.3.26
     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/0.3.32
+    component: azureml://registries/azureml/components/model_monitor_output_metrics/versions/0.3.33
     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/0.3.32
+    component: azureml://registries/azureml/components/model_monitor_evaluate_metrics_threshold/versions/0.3.33
     inputs:
       signal_metrics:
         type: mltable

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: 0.3.27
+version: 0.3.28
 is_deterministic: true
 
 inputs:

assets/model_monitoring/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: 0.3.28
+version: 0.3.29
 display_name: Feature Attribution Drift - Compute Metrics
 is_deterministic: true
 description: Feature attribution drift using model monitoring.

assets/model_monitoring/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: 0.3.44
+version: 0.3.45
 is_deterministic: true
 
 inputs:
@@ -44,7 +44,7 @@ outputs:
 jobs:
   compute_baseline_explanations:
     type: spark
-    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.31
+    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.32
     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/0.3.31
+    component: azureml://registries/azureml/components/feature_importance_metrics/versions/0.3.32
     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/0.3.28
+    component: azureml://registries/azureml/components/feature_attribution_drift_compute_metrics/versions/0.3.29
     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/0.3.32
+    component: azureml://registries/azureml/components/model_monitor_output_metrics/versions/0.3.33
     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/0.3.32
+    component: azureml://registries/azureml/components/model_monitor_evaluate_metrics_threshold/versions/0.3.33
     inputs:
       signal_metrics:
         type: mltable

assets/model_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: 0.3.31
+version: 0.3.32
 display_name: Feature importance
 is_deterministic: true
 description: Feature importance for model monitoring.

assets/model_monitoring/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: 0.0.21
+version: 0.0.22
 is_deterministic: true
 
 inputs:

assets/model_monitoring/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: 0.0.21
+version: 0.0.22
 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/0.0.21
+    component: azureml://registries/azureml/components/genai_token_statistics_compute_metrics/versions/0.0.22
     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/0.3.35
+    component: azureml://registries/azureml/components/model_monitor_metric_outputter/versions/0.3.36
     inputs:
       signal_metrics:
         type: mltable

assets/model_monitoring/components/generation_safety_quality/annotation_compute_histogram/spec.yaml

@@ -4,7 +4,7 @@ type: spark
 name: gsq_annotation_compute_histogram
 display_name: Annotation - Compute Histogram
 description: Compute annotation histogram given a deployment's model data input.
-version: 0.4.36
+version: 0.4.37
 is_deterministic: false
 inputs:
   production_dataset:
@@ -113,19 +113,11 @@ conf:
     dependencies:
       - python=3.10
       - pip:
-          - azure-cli-core~=2.66.0
+          - azure-ai-ml>=1.26.3
+          - openai>=1.56.2
           - azure-ai-evaluation~=1.0.1
-          - azure-ai-ml~=1.26.3
-          - openai~=1.56.2
-          - json5==0.9.11
+          - azureml-dataprep==5.1.6
           - mltable~=1.6.1
-          - keyrings.alt~=5.0.0
-          - azureml-mlflow~=1.56.0
-          - protobuf<5.29.0
-          - mlflow~=2.17.2
-          - azureml-fsspec~=1.3.1
-          - fsspec~=2023.4.0
-          - pyopenssl<23.0.0
     name: momo-gsq-spark
 code: ../../src
 entry:

assets/model_monitoring/components/generation_safety_quality/annotation_compute_metrics/spec.yaml

@@ -4,7 +4,7 @@ type: spark
 name: gsq_annotation_compute_metrics
 display_name: Annotation - Compute Metrics
 description: Compute annotation metrics given a deployment's model data input.
-version: 0.4.29
+version: 0.4.30
 is_deterministic: True
 inputs:
   annotation_histogram: