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commit sha 6760f9528b5442a4f6bf7a96e16d7109cc169633
Add automated data profiler with CloudFormation
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Merge pull request #6 from haozhouamzn/master Add automated data profiler with CloudFormation
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PR merged aws-samples/aws-fraud-detector-samples
Description of changes: Add automated data profiler to the repo. It uses AWS Glue, AWS CloudFormation and AWS Lambda to easily profile and clean your CSV file stored in Amazon S3 bucket, so that you can use the cleaned CSV file to build a model in Amazon Fraud Detector.
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.
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PR opened aws-samples/aws-fraud-detector-samples
Description of changes: Add automated data profiler to the repo. It uses AWS Glue, AWS CloudFormation and AWS Lambda to easily profile and clean your CSV file stored in Amazon S3 bucket, so that you can use the cleaned CSV file to build a model in Amazon Fraud Detector.
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.
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issue closedaws-samples/aws-fraud-detector-samples
create variable can't use the data source as 'MODEL_SCORE'
in the boto3 document, the dataSource can be 'MODEL_SCORE' https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/frauddetector.html#FraudDetector.Client.create_variable
But, your notebook will be failed with the following message:
ValidationException: An error occurred (ValidationException) when calling the CreateVariable operation: 1 validation error detected: Value 'MODEL_SCORE' at 'source' failed to satisfy constraint: Member must satisfy enum value set: [EXTERNAL_MODEL_SCORE, EVENT]
boto3 version is 1.16.10
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imyoungyang
issue commentaws-samples/aws-fraud-detector-samples
create variable can't use the data source as 'MODEL_SCORE'
Sorry for my late reply...
Good callout, you are right that the model score variable will be automatically created by the service, so I commented that part out in the updated end-to-end notebook
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commit sha 64c84046fcc408632f555b8abbcd10dab9a79a7a
Comment out create variable MODEL_SCORE This variable will be automatically created by the service
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issue closedaws-samples/aws-fraud-detector-samples
Missing synthitic_newaccount_data_50k.csv
Hi,
I appreciate your sample code and I would like to try it but I can't find the data file - synthitic_newaccount_data_50k.csv. Could you please let me know where to download it? Thanks.
Regards,
Marco [email protected]
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marcotchou
issue commentaws-samples/aws-fraud-detector-samples
Missing synthitic_newaccount_data_50k.csv
Hi,
Sorry for my late reply, you can find synthetic datasets here: https://github.com/mikames/data-and-notebooks
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issue closedaws-samples/aws-fraud-detector-samples
timestamp is compliant with ISO 8601 format
error message: ValidationException: An error occurred (ValidationException) when calling the GetEventPrediction operation: Event Timestamp is not valid. Please verify that event timestamp is compliant with ISO 8601 format.
When call function "get_event_prediction"
My code is
timestampStr=datetime.utcnow().replace(microsecond=0).isoformat()
timestampStr is like this string '2020-11-04T09:39:29'
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imyoungyang
issue commentaws-samples/aws-fraud-detector-samples
timestamp is compliant with ISO 8601 format
Sorry for my late replay, yes if you are using ISO 8601 standard, it needs to be in that specific format. It is documented in AFD's user guide: https://docs.aws.amazon.com/frauddetector/latest/ug/online-fraud-insights.html#preparing-training-data
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commit sha bd3127b5c8d316ceacd040f228d0a280c5ce1835
Add files via upload Remove account specific info
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Add files via upload Change record count to 5000
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Add histogram and confusion matrix
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Rename Fraud_Detector_BatchPrediction_API_Multiprocessing_Example.ipynb to Fraud_Detector_GetEventPrediction_API_Multiprocessing_Example.ipynb
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add multiprocessing example
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Add files via upload add batch prediction API example notebook
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