This repository was archived by the owner on Apr 1, 2026. It is now read-only.
v0.5.0
0.5.0 (2023-09-28)
Features
- Add
DataFrame.kurtosis/DF.kurtmethod (c1900c2) - Add
DataFrame.rollingandDataFrame.expandingmethods (c1900c2) - Add
items,applymethods toDataFrame. (#43) (3adc1b3) - Add axis param to simple df aggregations (#52) (9cf9972)
- Add index
dtype,astype,drop,fillna, aggregate attributes. (#38) (1a254a4) - Add ml.preprocessing.LabelEncoder (#50) (2510461)
- Add ml.preprocessing.MaxAbsScaler (#56) (14b262b)
- Add ml.preprocessing.MinMaxScaler (#64) (392113b)
- Add more index methods (#54) (a6e32aa)
- Support
calculate_p_valuesparameter inbigframes.ml.linear_model.LinearRegression(c1900c2) - Support
class_weights="balanced"inLogisticRegressionmodel (c1900c2) - Support
df[column_name] = df_only_one_column(c1900c2) - Support
early_stopparameter inbigframes.ml.linear_model.LinearRegression(c1900c2) - Support
enable_global_explainparameter inbigframes.ml.linear_model.LinearRegression(c1900c2) - Support
l2_regparameter inbigframes.ml.linear_model.LinearRegression(c1900c2) - Support
learn_rate_strategyparameter inbigframes.ml.linear_model.LinearRegression(c1900c2) - Support
ls_init_learn_rateparameter inbigframes.ml.linear_model.LinearRegression(c1900c2) - Support
max_iterationsparameter inbigframes.ml.linear_model.LinearRegression(c1900c2) - Support
min_rel_progressparameter inbigframes.ml.linear_model.LinearRegression(c1900c2) - Support
optimize_strategyparameter inbigframes.ml.linear_model.LinearRegression(c1900c2) - Support casting string to integer or float (#59) (3502f83)
Bug Fixes
- Fix header skipping logic in
read_csv(#49) (d56258c) - Generate unique ids on join to avoid id collisions (#65) (7ab65e8)
- LabelEncoder params consistent with Sklearn (#60) (632caec)
- Loosen filter items tests to accomodate shifting pandas impl (#41) (edabdbb)
Performance Improvements
- Add ability to cache dataframe and series to session table (#51) (416d7cb)
- Inline small
SeriesandDataFramesin query text (#45) (5e199ec) - Reimplement unpivot to use cross join rather than union (#47) (f9a93ce)
- Simplify join order to use multiple order keys instead of string. (#36) (5056da6)
Documentation
- Link to Remote Functions code samples from README and API reference (c1900c2)