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Doc Update - whats new v1.0.2 + TimeSeriesByCategory (#1190)
* Added RST pages * updated doc for ensemble * changed version + addressed comments
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.. _whats_new_v1_0_2: | ||
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=============== | ||
Version 1.0.2 | ||
=============== | ||
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This minor release has some significant feature additions with other changes. Some salient ones are listed below: | ||
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Pipelines (Beta) | ||
----------------- | ||
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VerticaPy now has **Pipelines**! | ||
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- ``Pipelines`` is a YAML-based configuration for defining machine learning workflows, simplifying the process of setting up and managing machine learning pipelines. | ||
- For beginners, it provides an easy-to-learn alternative to Python and SQL reducing the initial barriers to entry for creating models. | ||
- For more experienced users, it offers templating features to enhance modularity, minimize errors, and promote efficient code reuse in machine learning projects. | ||
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Performance | ||
------------ | ||
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- We have enhanced the QueryProfiler to improve its robustness. :py:func:`~verticapy.performance.vertica.QueryProfiler`. | ||
- Introducing a completely new **Query Profiler Interface**, enabling users to navigate through various queries and access them without the need to re-enter all the code. All of this can be accomplished using only your mouse within Jupyter Notebook environments. For more information please look at :py:func:`~verticapy.performance.vertica.QueryProfilerInterface`. | ||
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These updates significantly enhance the accessibility, debugging, and enhancement capabilities of your queries. | ||
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OAuth Refresh Tokens | ||
--------------------- | ||
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- We have updated the connector to accept OAuth refresh tokens. | ||
- Additioanlly we have added a ``prompt`` option for :py:func:`~verticapy.connection.new_connection`. This allows the user to enter the secrets discretly with a masked display. | ||
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Multi-TimeSeries (Beta) | ||
----------------------- | ||
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We added a new Time Series class: ``TimeSeriesByCategory``. This allows the users to build multiple models based off on a category. The number of models created | ||
are equal to the categories. This saves users time to create multiple models separately. For more inofrmation please see :py:func:`~verticapy.machine_learning.vertica.tsa.ensemble.TimeSeriesByCategory`. | ||
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Plots | ||
------ | ||
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- Two new plots have been added for plotly that were previously missing: | ||
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- :py:func:`~verticapy.machine_learning.vertica.decomposition.plot_scree` | ||
- :py:func:`~verticapy.machine_learning.vertica.decomposition.plot_var` | ||
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Unit Tests | ||
----------- | ||
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- We continue to shift our old tests to the new more robust format. | ||
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Examples | ||
--------- | ||
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- Most of the `examples <https://github.com/vertica/VerticaPy/tree/master/examples>`_ have been updated with the latest verticapy format. |
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setuptools.setup( | ||
name="verticapy", | ||
version="1.0.1", | ||
version="1.0.2", | ||
author="Badr Ouali", | ||
author_email="[email protected]", | ||
url="https://github.com/vertica/VerticaPy", | ||
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