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28 changes: 28 additions & 0 deletions CHANGELOG.md
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# Changelog

## Deprecation Notice
| Name | Replacement | Removed After |
| ------------------------------------- | ------------------------------------- | ------------- |
| `ModelRun.delete_annotation_groups()` | `ModelRun.delete_model_run_data_rows()`| 3.9 |
| `ModelRun.annotation_groups()` | `ModelRun.model_run_data_rows()` | 3.9 |
| `DataRowMetadataSchema.id` | `DataRowMetadataSchema.uid` | 3.9 |
-----

# Version 3.8.0 (2021-10-21)
## Added
* `ModelRun.upsert_data_rows()`
* Add data rows to a model run without also attaching labels
* `OperationNotAllowedException`
* raised when users hit resource limits or are not allowed to use a particular operation

## Updated
* `ModelRun.upsert_labels()`
* Blocks until the upsert job is complete. Error messages have been improved
* `Organization.invite_user()` and `Organization.invite_limit()` are no longer experimental
* `AnnotationGroup` was renamed to `ModelRunDataRow`
* `ModelRun.delete_annotation_groups()` was renamed to `ModelRun.delete_model_run_data_rows()`
* `ModelRun.annotation_groups()` was renamed to `ModelRun.model_run_data_rows()`

## Fix
* `DataRowMetadataField` no longer relies on pydantic for field validation and coercion
* This prevents unintended type coercion from occuring

# Version 3.7.0 (2021-10-11)
## Added
* Search for data row ids from external ids without specifying a dataset
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2 changes: 1 addition & 1 deletion examples/basics/data_row_metadata.ipynb
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"outputs": [],
"source": [
"field = DataRowMetadataField(\n",
" schema_id=mdo.reserved_by_name[\"captureDateTime\"].id, # specify the schema id\n",
" schema_id=mdo.reserved_by_name[\"captureDateTime\"].uid, # specify the schema id\n",
" value=datetime.now(), # typed inputs\n",
")\n",
"# Completed object ready for upload\n",
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2 changes: 1 addition & 1 deletion labelbox/__init__.py
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name = "labelbox"
__version__ = "3.7.0"
__version__ = "3.8.0"

from labelbox.schema.project import Project
from labelbox.client import Client
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