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Guides
Time Series Forecasting Benchmarking Pipeline (`tempus_bench`)
Tempus Bench — library documentation
TODO - Benchmarking Pipeline Improvements
Chronos-2 Covariate Data Flow
Covariate Testing Guide
Foundation Models: Covariate Support Reference
Config Module Coverage Summary
Models Served in Chronax
Model Set Comparison: (Tempus Bench ∪ Chronax) vs StatsForecast
Models Served in StatsForecast
Models Served in Tempus Bench
Model capabilities (`settings.yaml`)
Forecasting Model Implementations & Explanations
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
TimesFM
TimesFM 2.5
TimesFM
Welcome
Toto - Time Series Optimized Transformer for Observability
BOOM (Benchmark of Observability Metrics) Evaluations
Time Series Tasks
API Reference
tempus_bench
aggregators
base_aggregator
skill_score
win_rate
metrics
base_metric
crps
mae
mape
mase
quantile_score
rmse
weighted_interval_score
models
chronos_tiny
chronos_model
chronos_tiny_model
lafn
lafn_inferer
lafn_model
lagllama
data
augmentations
augmentations
freq_mask
freq_mix
read_new_dataset
gluon_utils
gluon_ts_distributions.implicit_quantile_network
scalers.robust_scaler
lag_llama
gluon
estimator
lightning_module
model.module
lagllama_model
run
utils.utils
moirai_base
moirai_base_model
moirai_model
moirai_moe
device_resolve
moirai_moe_model
moment_large
moment_large_model
moment_model
timesfm_200m
timesfm_200m_model
timesfm_model
tiny_time_mixer_r1
test_ttm_transformers_patch
tiny_time_mixer_model
tiny_time_mixer_r1_model
toto
boom
notebooks
dataset_utils
vis_forecast
utils
breakdown
leaderboard
toto
evaluation
lsf
lsf_datasets
lsf_evaluator
run_lsf_eval
inference
forecaster
gluonts_predictor
model
attention
backbone
distribution
embedding
feed_forward
rope
scaler
toto
transformer
util
data.util.dataset
freq_seconds
patch_tensorboard
toto_model
base_model
chronos_2
neuralforecast_lightning_device
timesfm_local_checkpoint
arima_model
chronos_model
chronos2_model
chronos2_small_model
chronos_2_model
chronos_base_model
chronos_bolt_base_model
chronos_bolt_mini_model
chronos_bolt_small_model
chronos_bolt_tiny_model
chronos_large_model
chronos_mini_model
chronos_small_model
croston_classic_model
exponential_smoothing_model
granite_flowstate_model
itransformer_model
kairos_10m_model
kairos_23m_model
kairos_50m_model
lstm_model
moirai_model
moirai2_model
moirai_large_model
moirai_small_model
moment_model
moment_base_model
moment_small_model
nbeats_model
nhits_model
patchtsmixer_model
patchtst_fm_model
patchtst_granite_model
prophet_model
random_forest_model
seasonal_naive_model
sundial_model
svr_model
tabpfn_model
tabpfn_ts_model
tft_model
theta_model
time_moe_200m_model
time_moe_50m_model
timesfm_model
timesfm2_model
timesfm_500m_model
timesnet_model
tiny_time_mixer_model
tiny_time_mixer_r2_model
tiny_time_mixer_r2_1_model
tirex_model
tirex_1_1_gifteval_model
varmax_model
xgboost_model
pipeline
data_loader
data_types
hyperparameter_tuner
metric_registry
model_executor
preprocessor
results_generator
utils
config_manager
configs
display_series
envs
lagllama_channel_fanout
lagllama_device
lagllama_freq
log_manager
model_settings
orchestrator_metadata
paths
sktime_datetime_freq
utils
visualizer
aggregators
run_benchmark
utils
compat.lightning_pytree
test_metric_registry_init
tempus_bench.aggregators
Aggregators module for analyzing evaluation results.