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ModelOp Center “Assets” support various data technologies, including:
S3 Files
Azure Blob Storage Files
HDFS Files
SQL data sources
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Action | Data Required | Available via: | MOC Asset Examples [ASSET_ROLE : EXAMPLE} |
Add an AttachmentAsset (to a StoredModel) | All types | CLI: s3 & embedded assets only UI: all API: all | Applicable to S3, HDFS, and SQL Asset |
Run a Metrics Job (e.g. “Back Test” using labeled data) | •Evaluation Data | CLI, UI, API, MLC | S3: •Test_Data: s3://<model_base>/EvaluationData.csv HDFS: •Test_Data: hdfs://<model_base>/EvaluationData.csv SQL Asset: •Test_Data: SELECT * FROM <read_only_Eval_table> WHERE <conditions> |
Run a Data Drift Job | •Training/Baseline Data •Comparator Data | CLI: would trigger the API API, MLC | S3: •Training_Data: s3://<model_base>/TrainingData.csv •Compare_Data: s3://<model_base>/ComparatorData.csv HDFS: •Training_Data: hdfs://<model_base>/TrainingData.csv •Compare_Data: hdfs://<model_base>/ComparatorData.csv SQL: •Training_Data: SELECT * FROM <read_only_Training_table> WHERE <conditions> •Compare_Data: Training: SELECT * FROM <read_only_Comparator_table> WHERE <conditions> … may need to have tag to specify input vs. output comparator data |
Run a Model Concept Drift Job | •Training/Baseline Data •Comparator Data | CLI: would trigger the API API, MLC | S3: •Training_Data: s3://<model_base>/TrainingData.csv •Compare_Data: s3://<model_base>/ComparatorData.csv HDFS: •Training_Data: hdfs://<model_base>/TrainingData.csv •Compare_Data: hdfs://<model_base>/ComparatorData.csv SQL: •Training_Data: SELECT * FROM <read_only_Training_table> WHERE <conditions> •Compare_Data: Training: SELECT * FROM <read_only_Comparator_table> WHERE <conditions> … may need to have tag to specify input vs. output comparator data |
Run a Bias Detection Job | •Evaluation Data | CLI, UI, API, MLC | S3: •Test_Data: s3://<model_base>/EvaluationData.csv HDFS: •Test_Data: hdfs://<model_base>/EvaluationData.csv SQL Asset: •Test_Data: SELECT * FROM <read_only_Eval_table> WHERE <conditions> |
Run a Training Job | •Training Data | MLC, UI, API | S3: •Training_Data: s3://<model_base>/TrainingData.csv HDFS: •Training_Data: hdfs://<model_base>/TrainingData.csv SQL Asset: •Training_Data: SELECT * FROM <read_only_Training_table> WHERE <conditions> |
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Go to the Model Details page by clicking on the model from the Models page
View the existing Assets by clicking on Assets tab:
Click on “Add Assets” , which opens a dialog box to select a local file.
The user is presented with multiple options for adding assets: as a local file upload, by providing a reference to an existing location, or by providing as SQL query:
For Local File Upload:
Click on the “Add File Upload”.
Click on “Upload file”:
Select the file from your local computer
Select to Upload the file:
The file will be uploaded as a new asset on the model
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Provide the URL to the file.
Select the type of asset: S3, HDFS, Azure Blob Store
Click Add Asset
The file will be uploaded as a new asset on the model
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