Changelog

PyPI History

1.30.0 (2024-12-30)

Features

  • Add GeoSeries.x and GeoSeries.y (#1126) (4c3548f)

  • Add LinearRegression.predict_explain() to generate ML.EXPLAIN_PREDICT columns (#1190) (e13eca2)

  • Add LogisticRegression.predict_explain() to generate ML.EXPLAIN_PREDICT columns (#1222) (bcbc732)

  • Add write_engine parameter to read_FORMATNAME methods to control how data is written to BigQuery (#371) (ed47ef1)

  • Add client side retry to GeminiTextGenerator (#1242) (8193abe)

  • Add Gemini-pro-1.5 to GeminiTextGenerator Tuning and Support score() method in Gemini-pro-1.5 (#1208) (298fc73)

  • Add support for LinearRegression.predict_explain and LogisticRegression.predict_explain parameter, top_k_features (#1228) (3068e19)

  • Support dataframe where method (#1166) (71b4053)

Bug Fixes

  • Arima model series input. (#1237) (f7d52d9)

  • Json in struct destination type (#1187) (200c9bb)

  • Throw an error message when setting is_row_processor=True to read a multi param function (#1160) (b2816a5)

Documentation

  • Add an “open in BQ Studio” link to all BigFrames sample notebooks (#1223) (e0a8288)

  • Add bq studio link for a new ipynb file called “bq_dataframes_template.ipynb” (#1239) (840aaff)

  • Add example for logistic regression (#1240) (4d854fd)

  • Add examples for ml PCA and SimpleImputer (#1236) (0d84459)

  • Add KMeans example (#1234) (d87ab97)

  • Add linear model example (#1235) (2c3e1fd)

  • Add ml.model_selection examples (#1238) (50648e4)

  • Add python snippet for “Create the time series model” section of the Forecast a single time series with a univariate model tutorial (#1227) (20f3190)

1.29.0 (2024-12-12)

Features

  • Add Gemini 2.0 preview text model support (#1209) (1021d57)

Documentation

  • Add Gemini 2.0 text gen sample notebook (#1211) (9596b66)

  • Update bigframes.pandas.index docs return types (#1191) (c63e7da)

1.28.0 (2024-12-11)

Features

  • (Series | DataFrame).plot.bar (#1152) (0fae2e0)

  • bigframes.bigquery.vector_search supports use_brute_force and fraction_lists_to_search parameters (#1158) (131edc3)

  • Add ARIMAPlus.predict_explain() to generate forecasts with explanation columns (#1177) (05f8b4d)

  • Add client_endpoints_override to bq options (