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base repository: googleapis/python-bigquery-dataframes
base: v0.4.0
head repository: googleapis/python-bigquery-dataframes
compare: v0.5.0
Commits on Sep 18, 2023
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chore: enforce use of conventional commits (#31)
This will prevent accidental merging of commits that release-please can't handle.
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Commits on Sep 20, 2023
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chore: sync internal changes to GitHub (#34)
feat: support `optimize_strategy` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `l2_reg` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `max_iterations` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `learn_rate_strategy` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `early_stop` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `min_rel_progress` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `ls_init_learn_rate` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `calculate_p_values` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `enable_global_explain` parameter in `bigframes.ml.linear_model.LinearRegression` test: add golden SQL test for logistic model test: extend ml golden sql test linear_reg docs: link to Remote Functions code samples from README and API reference feat: support `df[column_name] = df_only_one_column` feat: add `DataFrame.rolling` and `DataFrame.expanding` methods feat: add `DataFrame.kurtosis` / `DF.kurt` method feat: support `class_weights="balanced"` in `LogisticRegression` model
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perf: simplify join order to use multiple order keys instead of strin…
…g. (#36) Change-Id: I8c37e9296b2e4e0ea87f6a7e836d48988d161d37
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Commits on Sep 21, 2023
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refactor: remove ibis references outside of arrayvalue code. (#37)
Change-Id: I1386355446e90f89a43cee8a9f447f0775639902
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feat: add
items
,apply
methods toDataFrame
. (#43)Change-Id: Id3a0e78da3bb9ccce64e190f7797f737b239c33f Co-authored-by: Tim Swast <swast@google.com>
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feat: add index
dtype
,astype
,drop
,fillna
, aggregate attrib……utes. (#38) Change-Id: I4af249d10b2fcd779ad05d1f1d95049893e40135
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perf: inline small
Series
andDataFrames
in query text (#45)The prevents unnecessary load and query jobs. Towards internal issue 296474170 🦕
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refactor: ml.sql to Object (#44)
* refactor: ml.sql to Object Change-Id: Ibf795b81619778eaf28572fccd95a09b65f8ad58
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Commits on Sep 22, 2023
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Commits on Sep 23, 2023
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Commits on Sep 25, 2023
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Commits on Sep 26, 2023
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fix: Fix header skipping logic in
read_csv
(#49)Change-Id: Ib575e2c2b07f819d1dc499a271fea91107fbb8b4
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fix: LabelEncoder params consistent with Sklearn (#60)
* fix: LabelEncoder params consistent with Sklearn * fix:add LabelTransformer * fix: address comments for base LabelTransformer * fix: type for params
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feat: add ml.preprocessing.MinMaxScaler (#64)
* feat: add ml.preprocessing.MinMaxScaler * fix comments and typo * add test check for min value * nit fix
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Commits on Sep 27, 2023
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Commits on Sep 28, 2023
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fix: generate unique ids on join to avoid id collisions (#65)
* fix: generate unique ids on join to avoid id collisions
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chore(main): release 0.5.0 (#35)
Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com>
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