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components gsq_annotation_compute_histogram
github-actions[bot] edited this page Oct 2, 2024
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Compute annotation histogram given a deployment's model data input.
Version: 0.4.30
View in Studio: https://ml.azure.com/registries/azureml/components/gsq_annotation_compute_histogram/version/0.4.30
Name | Description | Type | Default | Optional | Enum |
---|---|---|---|---|---|
production_dataset | mltable | ||||
metric_names | a comma-separated list of metric names to compute | string | False | ||
model_deployment_name | model name, e.g., name of the deployment for Azure OpenAI | string | False | ||
workspace_connection_arm_id | path to the workspace connection | string | False | ||
prompt_column_name | string | prompt | True | ||
completion_column_name | string | completion | True | ||
ground_truth_column_name | string | ground_truth | True | ||
context_column_name | string | context | True | ||
groundedness_rating_threshold | integer | 3 | True | ||
similarity_rating_threshold | integer | 3 | True | ||
relevance_rating_threshold | integer | 3 | True | ||
fluency_rating_threshold | integer | 3 | True | ||
coherence_rating_threshold | integer | 3 | True | ||
sample_rate | sample rate for the input dataset, should be greater than 0 and at most 1 | number | True |
Name | Description | Type |
---|---|---|
histogram | mltable | |
samples_index | mltable | |
groundedness_violations | mltable | |
fluency_violations | mltable | |
coherence_violations | mltable | |
similarity_violations | mltable | |
relevance_violations | mltable | |
evaluation | evaluation results | mltable |