spotforecast2-safe
API Reference
Utils
Overview
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Getting Started
API Reference
Overview
Data
data
fetch_data
fetch_holiday_data
fetch_weather_data
get_data_home
get_cache_home
get_package_data_home
load_timeseries
load_timeseries_forecast
Preprocessing
Overview
ExogBuilder
linearly_interpolate_ts
repeating_basis_function
Curate Data
agg_and_resample_data
basic_ts_checks
curate_holidays
curate_weather
get_start_end
remove_duplicate_timestamps
reset_index
Imputation
apply_imputation
WeightFunction
get_missing_weights
custom_weights
Outlier
mark_outliers
manual_outlier_removal
get_outliers
Split
split_abs_train_val_test
split_rel_train_val_test
Processing
Overview
agg_predict
n2n_predict
n2n_predict_with_covariates
Forecaster
base
ForecasterRecursive
ForecasterEquivalentDate
ForecasterRecursiveMultiSeries
utils
Metrics
add_y_train_argument
calculate_coverage
create_mean_pinball_loss
crps_from_predictions
crps_from_quantiles
mean_absolute_scaled_error
root_mean_squared_scaled_error
symmetric_mean_absolute_percentage_error
Model Selection
backtesting_forecaster
backtesting_forecaster_one_step
validation
BaseFold
OneStepAheadFold
TimeSeriesFold
utils_common
Manager
calculate_metrics
build_prediction_package
get_model_prediction
ConfigEntsoe
ConfigMulti
logger
persistence
tools
Datasets
demo_data
demo_loader
Models
ForecasterRecursiveLGBM
ForecasterRecursiveModel
ForecasterRecursiveXGB
Trainer
get_last_model
get_path_model
load_iteration
Exogenous Features
get_weather_features
get_calendar_features
get_day_night_features
get_holiday_features
Feature Engineering
apply_cyclical_encoding
create_interaction_features
select_exogenous_features
merge_data_and_covariates
get_target_data
Utils
Overview
get_cpe_identifier
create_holiday_df
convert_to_utc
data_transform
forecaster_config
Validation
check_y
check_exog
check_exog_dtypes
check_interval
check_predict_input
check_residuals_input
get_exog_dtypes
set_cpu_gpu_device
Weather
Overview
WeatherClient
WeatherService
Downloader
download_new_data
merge_build_manual
Exceptions
Tasks API
task_safe_demo
task_safe_n_to_1_with_covariates_and_dataframe
Processing Guides
Model Persistence
Preprocessing Guides
Outlier Detection
Data Imputation & Gap Weighting
Resolve Duplicate Timestamps
Period Configuration Rationale
Forecaster Guides
ForecasterRecursive
ForecasterEquivalentDate
Safety & Security
Streamlining Process
Model/Method Card
Version Management
Security Policy
Tasks
Demo Tasks
Task Safe Demo Explained
Task Safe n-to-1 Explained
n2n_predict_with_covariates Explained
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API Reference
Utils
Overview
utils
utils
Utility functions for spotforecast.