Esc

Ask AIAnswers may be inaccurate; check the linked pages.Esc

Ask anything about these docs, like how to get started or what a function does.

TempusBench Docs

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
- metrics
- 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
- utils
- aggregators
- run_benchmark
- utils
- compat.lightning_pytree
test_metric_registry_init

`MomentBaseModel`

moment_base_model · inherits MomentLargeModel

MOMENT base variant. Inherits full logic; hf_model_name from settings.

On this page

MomentBaseModel