Release 7.9.0a1

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Seth Michael Larson 2020-08-18 11:53:40 -05:00 committed by GitHub
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=========
Changelog
=========
7.9.0a1 (2020-08-18)
--------------------
Added
^^^^^
* Added support for Pandas v1.1 (`#253`_)
* Added support for LightGBM ``LGBMRegressor`` and ``LGBMClassifier`` to ``ImportedMLModel`` (`#247`_, `#252`_)
* Added support for ``multi:softmax`` and ``multi:softprob`` XGBoost operators to ``ImportedMLModel`` (`#246`_)
* Added column names to ``DataFrame.__dir__()`` for better auto-completion support (`#223`_, contributed by `@leonardbinet`_)
* Added support for ``es_if_exists='append'`` to ``pandas_to_eland()`` (`#217`_)
* Added support for aggregating datetimes with ``nunique`` and ``mean`` (`#253`_)
* Added ``es_compress_model_definition`` parameter to ``ImportedMLModel`` constructor (`#220`_)
* Added ``.size`` and ``.ndim`` properties to ``DataFrame`` and ``Series`` (`#231`_ and `#233`_)
* Added ``.dtype`` property to ``Series`` (`#258`_)
* Added support for using ``pandas.Series`` with ``Series.isin()`` (`#231`_)
* Added type hints to many APIs in ``DataFrame`` and ``Series`` (`#231`_)
Deprecated
^^^^^^^^^^
* Deprecated the ``overwrite`` parameter in favor of ``es_if_exists`` in ``ImportedMLModel`` constructor (`#249`_, contributed by `@V1NAY8`_)
Changed
^^^^^^^
* Changed aggregations for datetimes to be higher precision when available (`#253`_)
Fixed
^^^^^
* Fixed ``ImportedMLModel.predict()`` to fail when ``errors`` are present in the ``ingest.simulate`` response (`#220`_)
* Fixed ``Series.median()`` aggregation to return a scalar instead of ``pandas.Series`` (`#253`_)
* Fixed ``Series.describe()`` to return a ``pandas.Series`` instead of ``pandas.DataFrame`` (`#258`_)
* Fixed ``DataFrame.mean()`` and ``Series.mean()`` dtype (`#258`_)
* Fixed ``DataFrame.agg()`` aggregations when using ``extended_stats`` Elasticsearch aggregation (`#253`_)
.. _@leonardbinet: https://github.com/leonardbinet
.. _@V1NAY8: https://github.com/V1NAY8
.. _#217: https://github.com/elastic/eland/pull/217
.. _#220: https://github.com/elastic/eland/pull/220
.. _#223: https://github.com/elastic/eland/pull/223
.. _#231: https://github.com/elastic/eland/pull/231
.. _#233: https://github.com/elastic/eland/pull/233
.. _#246: https://github.com/elastic/eland/pull/246
.. _#247: https://github.com/elastic/eland/pull/247
.. _#249: https://github.com/elastic/eland/pull/249
.. _#252: https://github.com/elastic/eland/pull/252
.. _#253: https://github.com/elastic/eland/pull/253
.. _#258: https://github.com/elastic/eland/pull/258
7.7.0a1 (2020-05-20)
--------------------
Added
^^^^^
* Added the package to Conda Forge, install via
``conda install -c conda-forge eland`` (`#209`_)
* Added ``DataFrame.sample()`` and ``Series.sample()`` for querying
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* Added ``DataFrame.to_pandas()`` and ``Series.to_pandas()`` for converting
an Eland dataframe or series into a Pandas dataframe or series inline (`#208`_)
* Added support for XGBoost v1.0.0 (`#200`_)
Deprecated
^^^^^^^^^^
* Deprecated ``info_es()`` in favor of ``es_info()`` (`#208`_)
* Deprecated ``eland.read_csv()`` in favor of ``eland.csv_to_eland()`` (`#208`_)
* Deprecated ``eland.read_es()`` in favor of ``eland.DataFrame()`` (`#208`_)
Changed
^^^^^^^
* Changed ``var`` and ``std`` aggregations to use sample instead of
population in line with Pandas (`#185`_)
* Changed painless scripts to use ``source`` rather than ``inline`` to improve
script caching performance (`#191`_, contributed by `@mesejo`_)
* Changed minimum ``elasticsearch`` Python library version to v7.7.0 (`#207`_)
* Changed name of ``Index.field_name`` to ``Index.es_field_name`` (`#208`_)
Fixed
^^^^^
* Fixed ``DeprecationWarning`` raised from ``pandas.Series`` when an
an empty series was created without specifying ``dtype`` (`#188`_, contributed by `@mesejo`_)
* Fixed a bug when filtering columns on complex combinations of and and or (`#204`_)
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* Fixed issue where both ``scikit-learn`` and ``xgboost`` libraries were
required to use ``eland.ml.ImportedMLModel``, now only one library is
required to use this feature (`#206`_)
* Changed ``var`` and ``std`` aggregations to use sample instead of
population in line with Pandas (`#185`_)
* Changed painless scripts to use ``source`` rather than ``inline`` to improve
script caching performance (`#191`_, contributed by `@mesejo`_)
* Changed minimum ``elasticsearch`` Python library version to v7.7.0 (`#207`_)
* Changed name of ``Index.field_name`` to ``Index.es_field_name`` (`#208`_)
.. _#200: https://github.com/elastic/eland/pull/200
.. _#201: https://github.com/elastic/eland/pull/201
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7.6.0a5 (2020-04-14)
--------------------
Added
^^^^^
* Added support for Pandas v1.0.0 (`#141`_, contributed by `@mesejo`_)
* Added ``use_pandas_index_for_es_ids`` parameter to ``pandas_to_eland()`` (`#154`_)
* Added ``es_type_overrides`` parameter to ``pandas_to_eland()`` (`#181`_)
* Added ``NDFrame.var()``, ``.std()`` and ``.median()`` aggregations (`#175`_, `#176`_, contributed by `@mesejo`_)
* Added ``DataFrame.es_query()`` to allow modifying ES queries directly (`#156`_)
* Added ``eland.__version__`` (`#153`_, contributed by `@mesejo`_)
Removed
^^^^^^^
* Removed support for Python 3.5 (`#150`_)
* Removed ``eland.Client()`` interface, use
``elasticsearch.Elasticsearch()`` client instead (`#166`_)
* Removed all private objects from top-level ``eland`` namespace (`#170`_)
* Removed ``geo_points`` from ``pandas_to_eland()`` in favor of ``es_type_overrides`` (`#181`_)
* Fixed ``inference_config`` being required on ML models for ES >=7.8 (`#174`_)
* Fixed unpacking for ``DataFrame.aggregate("median")`` (`#161`_)
Changed
^^^^^^^
* Changed ML model serialization to be slightly smaller (`#159`_)
* Changed minimum ``elasticsearch`` Python library version to v7.6.0 (`#181`_)
Fixed
^^^^^
* Fixed ``inference_config`` being required on ML models for ES >=7.8 (`#174`_)
* Fixed unpacking for ``DataFrame.aggregate("median")`` (`#161`_)
.. _@mesejo: https://github.com/mesejo
.. _#141: https://github.com/elastic/eland/pull/141
.. _#150: https://github.com/elastic/eland/pull/150
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7.6.0a4 (2020-03-23)
--------------------
Changed
^^^^^^^
* Changed requirement for ``xgboost`` from ``>=0.90`` to ``==0.90``
Fixed
^^^^^
* Fixed issue in ``DataFrame.info()`` when called on an empty frame (`#135`_)
* Fixed issues where many ``_source`` fields would generate
a ``too_long_frame`` error (`#135`_, `#137`_)
* Changed requirement for ``xgboost`` from ``>=0.90`` to ``==0.90``
.. _#135: https://github.com/elastic/eland/pull/135
.. _#137: https://github.com/elastic/eland/pull/137

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__title__ = "eland"
__description__ = "Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch"
__url__ = "https://github.com/elastic/eland"
__version__ = "7.7.0a1"
__version__ = "7.9.0a1"
__author__ = "Steve Dodson"
__author_email__ = "steve.dodson@elastic.co"
__maintainer__ = "Seth Michael Larson"