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Merge pull request #233 from google/release-0.1.3
Release v0.1.3
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# Changelog | ||
# Release notes | ||
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## HEAD (might become 0.1.3) | ||
## Latest changes (unreleased) | ||
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### Features | ||
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### Fixes | ||
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## 0.1.3 | ||
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This is the first operational version of Temporian for users. The list whole and | ||
detailed list of features is too long to be listed. The top features are: | ||
detailed list of features is too long to be listed. The main features are: | ||
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### Feature | ||
### Features | ||
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- Pypi release. | ||
- PyPI release. | ||
- 72 operators. | ||
- Execution in eager, compiled mode, and graph mode. | ||
- IO Support for Pandas, CSV, Numpy and TensorFlow datasets. | ||
- Static and interactive plotting. | ||
- Documentation (3 minutes intro, user guide and API references). | ||
- 5 tutorials. | ||
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### Fix | ||
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- Proper error message when using distributed training on more than 2^31 | ||
(i.e., ~2B) examples while compiling YDF with 32-bits example index. |
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[tool.poetry] | ||
name = "temporian" | ||
version = "0.1.2" | ||
version = "0.1.3" | ||
description = "Temporian is a Python package for feature engineering of temporal data, focusing on preventing common modeling errors and providing a simple and powerful API, a first-class iterative development experience, and efficient and well-tested implementations of common and not-so-common temporal data preprocessing functions." | ||
authors = [ | ||
"Mathieu Guillame-Bert, Braulio Ríos, Guillermo Etchebarne, Ian Spektor, Richard Stotz <[email protected]>", | ||
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