Releases
7.9.0a1
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 )
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