Bugfixes - `sam.validation.create_validation_pipe`: the imputation part is now correctly applied only to the `cols` columns in the df - `sam.metrics.train_mean_r2`: now only adds non-nan values in np.arrays (previously would return nan R2)
2.0.7
Changes - `sam.visualization.quantile_plot`: now accepts custom outliers with 'outlier' argument
Bugfixes - `sam.visualization.quantile_plot`: now correctly shifts y_hat with predict_ahead
2.0.6
New functions - New function: `sam.metrics.train_mean_r2` that evaluates r2 based on the train set mean - New function: `sam.visualization.performance_evaluation_fixed_predict_ahead` that evaluates model performance with certain predict ahead.
2.0.5
Changes - `sam.feature_engineering.automatic_rolling_engineering` now has new argument 'onehots'. The argument 'add_time_features' is now removed, as 'cyclicals' and 'onehots' now together make up both timefeatures
2.0.4
Changes - `sam.feature_engineering.decompose_datetime` 'components' argument now support 'secondofday'
2.0.3
Changes - `sam.visualization.quantile_plot` 'score' argument changed to 'title' to enhance generalizability