spotforecast2
API Reference
Model Selection
utils_metrics
Home
API Reference
Overview
Exceptions
exceptions
Forecaster
metrics
utils
recursive._warnings
Manager
models.forecaster_recursive_model_full
models.forecaster_recursive_lgbm_full
models.forecaster_recursive_xgb_full
plotter
trainer_full
agg_predictor
BaseTask
LazyTask
OptunaTask
SpotOptimTask
PredictTask
CleanTask
MultiTask
run
Model Selection
bayesian_search
grid_search
random_search
split_base
split_ts_cv
spotoptim_search
utils_common
utils_metrics
Preprocessing
_binner
_common
_differentiator
_rolling
outlier
outlier_plots
split
time_series_visualization
Stats
autocorrelation
Tasks
task_demo
task_entsoe
task_n_to_1
task_n_to_1_dataframe
task_n_to_1_with_covariates
task_n_to_1_with_covariates_and_dataframe
Utils
data_transform
forecaster_config
generate_holiday
validation
Processing Guides
Model Persistence
Preprocessing Guides
Outlier Detection
Time Series Visualization
Model Selection Guides
Intro to Model Training
Intro to SpotOptim
SpotOptim Lag Handling
Tasks Guide
Overview
ENTSO-E Guide
On this page
model_selection.utils_metrics
Edit this page
Report an issue
API Reference
Model Selection
utils_metrics
model_selection.utils_metrics
model_selection.utils_metrics
Metrics calculation utilities for model selection.