Andy Dang
Andy Dang
I'd like to use AWS SSO as the credentials for my program: ``` aws sso login ``` I can use SSO credentials in boto3 ## Describe the Feature AWS SSO...
## Description Support collecting metrics as application runs in Python in the background (every 5-10 seconds, for example). Use case is in deep learning models (or any models), data size...
## Description Ramandeep Singh Regarding the latest i.e. whylogs v1 API changes. We moved from just having ColumnProfile to ColumnProfile->ColumnProfileView for serializing/deserializing and this is unidirectional. This leads to the...
## Description Instead of log locally, push data to a remote logger first ## Suggestions ## Related Relates to organization/repo#number - [ ] I have reviewed the [Guidelines for Contributing](CONTRIBUTING.md)...
* WhyLogs automatically collects column-level metrics * Customers will have the option to output whylogs metrics to MLFlow metrics via `mlflow.log_metric` call * This will result in a lot of...
## Description When a system produces NaN or `infinity`, that often indicates bad data or bugs. ## Suggestions Track these under `n` (count) metric. Maybe under a namespace of counts?...
We need to track dataset level data: Data points (though if you call `log`) output/input separately not sure how it works)
Breaking up #67. Support monitoring `python_function` model deployments https://www.mlflow.org/docs/latest/models.html#deploy-mlflow-models The implementation takes in a Pandas dataframe - we should be able to ingest them into WhyLogs. Will require: * Log...
## Description https://www.tensorflow.org/api_docs/python/tf/train/Example Would be nice to have this in both Java and Python Note that with Java we'll need `org.tensorflow:tensorflow-core-api` package ## Suggestions Example in v0: ``` def track(tfExample:...