All Content tagged with Amazon SageMaker Clarify
Amazon SageMaker Clarify provides machine learning developers with greater visibility into their training data and models so they can identify and limit bias and explain predictions.
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EXPERT
published 13 days ago0 votes51 views
EXPERT
published 20 days ago1 votes73 views
Based on the **Question Answering** section in the [SageMaker Clarify documentation](https://docs.aws.amazon.com/sagemaker/latest/dg/clarify-accuracy-evaluation.html) documentation, I don't see any...
asked 4 months ago
I have the following code, but it does not work with `model_id='anthropic.claude-3-sonnet-20240229-v1:0'`.
```python
import boto3
import json
from fmeval.constants import MIME_TYPE_JSONLINES
from...
asked 4 months ago
Is it possible to use Clarify for explainability/bias detection on a Comprehend model endpoint?
do u know how to edit the metaparameters.json file before running an AutoML job. I can see it come out after an AutoML job is ran in the output s3 bucket. But how do I edit and run it again.
Or is...
I am working with the SageMaker DeepAR model and facing challenges in generating SHAP values for multiple dynamic features, which are in the form of a 2D array. My model requires additional data such...
hi,
I have issue while running sagemaker explainability monitoring job , I'm running into below error when i run explainabilty baseline job
Customer Error: cannot reshape array of size 2062 into...
https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor-data-capture-endpoint.html
I have followed the steps mentioned in this and it appears I cannot change the encoding for EndpointOutput in...
Hello, I get an error in the explicability module of the model registry (see screenshot below).
How can I debug this ? I would like to access logs to investigate this error.
 i passing a single row as to shap_baseline parameter to implement...