Kou Kinoshita 8b7bd81328 SIENTIAPDE-1579: Fixed data preprocessor

2026-02-18 11:14:27 -03:00

..

01-linear-regression-basic.json

SIENTIAPDE-1430: Introduce comprehensive integration testing with JSON-based scenarios and detailed README documentation. Enhance training workflow to support advanced model configurations, including polynomial regression with mandatory scaler validation. Ensure robust prediction handling by calculating training predictions (y_train_pred) before denormalization and automatically configuring datetime indices for time-series operations.

2025-12-18 17:05:10 -03:00

02-linear-regression-with-scaler.json

SIENTIAPDE-1430: Introduce comprehensive integration testing with JSON-based scenarios and detailed README documentation. Enhance training workflow to support advanced model configurations, including polynomial regression with mandatory scaler validation. Ensure robust prediction handling by calculating training predictions (y_train_pred) before denormalization and automatically configuring datetime indices for time-series operations.

2025-12-18 17:05:10 -03:00

03-polynomial-regression-degree2.json

SIENTIAPDE-1430: Introduce comprehensive integration testing with JSON-based scenarios and detailed README documentation. Enhance training workflow to support advanced model configurations, including polynomial regression with mandatory scaler validation. Ensure robust prediction handling by calculating training predictions (y_train_pred) before denormalization and automatically configuring datetime indices for time-series operations.

2025-12-18 17:05:10 -03:00

04-polynomial-regression-degree3.json

SIENTIAPDE-1430: Introduce comprehensive integration testing with JSON-based scenarios and detailed README documentation. Enhance training workflow to support advanced model configurations, including polynomial regression with mandatory scaler validation. Ensure robust prediction handling by calculating training predictions (y_train_pred) before denormalization and automatically configuring datetime indices for time-series operations.

2025-12-18 17:05:10 -03:00

05-linear-regression-with-lags.json

SIENTIAPDE-1430: Introduce comprehensive integration testing with JSON-based scenarios and detailed README documentation. Enhance training workflow to support advanced model configurations, including polynomial regression with mandatory scaler validation. Ensure robust prediction handling by calculating training predictions (y_train_pred) before denormalization and automatically configuring datetime indices for time-series operations.

2025-12-18 17:05:10 -03:00

06-linear-regression-nan-interpolation.json

SIENTIAPDE-1430: Introduce comprehensive integration testing with JSON-based scenarios and detailed README documentation. Enhance training workflow to support advanced model configurations, including polynomial regression with mandatory scaler validation. Ensure robust prediction handling by calculating training predictions (y_train_pred) before denormalization and automatically configuring datetime indices for time-series operations.

2025-12-18 17:05:10 -03:00

07-linear-regression-static-window-removal.json

SIENTIAPDE-1430: Introduce comprehensive integration testing with JSON-based scenarios and detailed README documentation. Enhance training workflow to support advanced model configurations, including polynomial regression with mandatory scaler validation. Ensure robust prediction handling by calculating training predictions (y_train_pred) before denormalization and automatically configuring datetime indices for time-series operations.

2025-12-18 17:05:10 -03:00

08-linear-regression-with-limits.json

SIENTIAPDE-1430: Introduce comprehensive integration testing with JSON-based scenarios and detailed README documentation. Enhance training workflow to support advanced model configurations, including polynomial regression with mandatory scaler validation. Ensure robust prediction handling by calculating training predictions (y_train_pred) before denormalization and automatically configuring datetime indices for time-series operations.

2025-12-18 17:05:10 -03:00

09-polynomial-degree2-with-scaler-and-lags.json

SIENTIAPDE-1430: Introduce comprehensive integration testing with JSON-based scenarios and detailed README documentation. Enhance training workflow to support advanced model configurations, including polynomial regression with mandatory scaler validation. Ensure robust prediction handling by calculating training predictions (y_train_pred) before denormalization and automatically configuring datetime indices for time-series operations.

2025-12-18 17:05:10 -03:00

10-linear-regression-with-ar.json

SIENTIAPDE-1430: Introduce comprehensive integration testing with JSON-based scenarios and detailed README documentation. Enhance training workflow to support advanced model configurations, including polynomial regression with mandatory scaler validation. Ensure robust prediction handling by calculating training predictions (y_train_pred) before denormalization and automatically configuring datetime indices for time-series operations.

2025-12-18 17:05:10 -03:00

11-linear-regression-static-threshold-custom.json

SIENTIAPDE-1579: Fixed data preprocessor

2026-02-18 11:14:27 -03:00

12-angular-test-cv022-wit230.json

SIENTIAPDE-1579: Fixed data preprocessor

2026-02-18 11:14:27 -03:00

13-angular-test-double-date-column.json

SIENTIAPDE-1579: Fixed data preprocessor

2026-02-18 11:14:27 -03:00