Python Client History

3.x Client Version

---

3.6

3.6.0

• Removed

  • The get_slice and download_slice methods are removed. Please use download_data to retrieve some data.

  • The get_mutual_info method is removed.

  • The SqlSliceQueryDataSource option is removed from explain, feature impact and importance. Please use the DatasetDataSource instead or the UI.

3.5

3.5.0

• New Features

  • New download_data method, to download a slice of data given an environment, time range and segment. Resulted file can be downloaded either as a CSV or a Parquet file.

3.4

3.4.0

• Removed

  • The get_fairness method is removed. Please use charts and custom metrics to track / compute fairness metrics on your model.

3.3

3.3.2

• Modifications

  • Fixed the error while setting notification config for alert rule.

---

3.3.1

• Modifications

  • Added validation while adding notifications to alert rules.

  • Upgraded dependencies to resolve known vulnerabilities - deepdiff, mypy, pytest, pytest-mock, python-decouple, types-requests and types-simplejson.

---

3.3.0

• New Features

  • Introduced upload_feature_impact() method to upload or update feature impact manually.

---

3.2

3.2.0

• New Features

  • Introduced evaluation delay in Alerts Rule.

    • Optional evaluation_delay parameter added to AlertRule.__init__ method.

    • It is used to introduce a delay in the evaluation of the alert.

• Modifications

  • Fix windows file permission error bug with publish method.

---

3.1

3.1.2

• Modifications

  • Adds support to get schema of Column object by fdl.Column

3.1.1

• Modifications

  • Updated pydantic and typing-extensions dependencies to support Python 3.12.

3.1.0

• New Features

  • Introduced the native support for model versions.

    • Optional version parameter added to Model, Model.from_data, Model.from_name methods.

    • New duplicate() method to seamlessly create new version from existing model.

    • Optional name parameter added to Model.list to offer the ability to list all the versions of a model.

---

3.0

3.0.5

• New Features

  • Allowed usage of group_by() to form the grouped data for ranking models.

3.0.4

• Modifications

  • Return Job in ModelDeployment update.

3.0.3

• New Features

  • Added Webhook.from_name()

• Modifications

  • Import path fix for packtools.

3.0.2

• Modifications

  • Fix pydantic issue with typing-extensions versions > 4.5.0

3.0.1

• New Features

  • General

    • Moving all functions of client to an Object oriented approach

    • Methods return resource object or a deserialised object wherever possible.

    • Support to search model, project, dataset, baselines by their names using from_name() method.

    • List methods will return iterator which handles pagination internally.

  • Data

    • Concept of environments was introduced.

    • Ability to download slice data to a parquet file.

    • Publish dataframe as stream instead of batch.

    • New methods for baselines.

    • Multiple datasets can be added to a single model. Ability to choose which dataset to use for computing feature impact / importance, surrogate generation etc.

    • Model can be added without dataset.

    • Ability to generate schema for a model.

    • Model delete is async and returns job details.

    • Added cached properties for model: datasets, model_deployment.

  • Alerts

    • New methods for alerts: enable_notification, disable_notification, set_notification_config and get_notification_config.

  • Explainability

    • New methods in explainability: precompute_feature_impact, precompute_feature_importance, get_precomputed_feature_importance, get_precomputed_feature_impact, precompute_predictions.

    • Decoupled model artifact / surrogate upload and feature impact / importance pre-computation.

• Modifications

  • All IDs will be UUIDs instead of strings

  • Dataset delete is not allowed anymore