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  • 2024.9.17
  • 2024.9.10
  • 2024.9.3

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  1. Gretel Basics
  2. Release Notes
  3. Platform Release Notes

September 2024

2024.9.25

  • Fix: Solve an issue with inference configs in production.

2024.9.24

  • Fix: Set the proper domain name for serverless endpoints.

  • Fix: Fix privacy filtering for certain datasets.

  • Fix: Allow the client to optionally disable SSL verification for testing purposes.

2024.9.18

  • Fix: Fix updating connections when done in a hybrid context.

2024.9.17

  • Feature: Add a BigQuery integration module that provides Gretel <> BigFrames native support in the Gretel Python SDK.

  • Feature: Add model license information to the /v1/inference/models endpoint (if available).

  • Fix: Update error handling for generation failures in the ACTGAN model.

  • Task: More specific email login rejection messages.

  • Fix: Update error message for validation in Relational Workflows.

  • Fix: Fix an issue where the incorrect total is returned from the /v1/workflows/runs/tasks/search endpoint.

  • Fix: Make downloading a model from the HF hub more resilient, by increasing retries.

2024.9.10

  • Fix: Ensure non-standard encoded characters can be extracted and loaded from Workflow database connectors.

  • Fix: Increase HTTP client timeout defaults for workflows to 30 seconds.

  • Fix: Fix race condition when performing model status updates.

2024.9.3

  • Feature: Add additional error codes for workflows.

  • Fix: Fix variable assignment error in LSTM model training when evaluation is skipped.

  • Feature: Support for JSON columns in MySQL and Postgres connectors has been removed.

  • Feature: gretel_tabular workflow action no longer attempts JSON column normalization.

  • Feature: gretel_tabular workflow action limits tables with JSON columns to NavFT and Transform (v1 and v2) models.

  • Feature: Model training times in gretel_tabular workflow actions are now faster via reducing data preview size and deferring evaluation.

  • Fix: When using the gretel-inference-llm helm chart, users have the choice of either passing in the apiKey or the apiKeySecretRef in their values.yaml. In instances where apiKey was provided, we attempted to create a k8s Secret, but failed due to a * yaml templating error.

  • Fix: Fix bug in Navigator FT where generation would sometimes fail when group_training_examples_by is set.

  • Fix: Add security context to initContainer used in the inference-llm chart.

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