timesfm-forecast

name	timesfm-forecast
description	Usa a pronosticar series temporales con TimesFM 3.0.
version	2.0.0
tags	["timesfm","forecast","series-temporales","timesfm3","time-series","python"]
related_skills	["timesfm-forecast","qlib-quant","monte-carlo-stock-simulator"]

TimesFM — forecasting de series temporales (API 3.0)

⚠️ Corrección 2026-09-05 (auditoría): la v1 usaba timesfm.TimesFm/model.forecast() (TimesFM v1/v2). La versión actual 3.0 usa from timesfm3 import TimesFM3Evaluator, ModelConfig y forecaster.predict_batch(...). Install real: pip install timesfm[torch].

Repo: https://github.com/google-research/timesfm (Python, ~31K⭐).

When to Use

• Cuando pidas pronosticar una serie temporal (modelo fundacional de Google) para tus datos.

Uso (API 3.0)

pip install "timesfm[torch]"

from timesfm3 import TimesFM3Evaluator, ModelConfig
model = TimesFM3Evaluator(config=ModelConfig(...))
forecasts = model.predict_batch(inputs, horizon=..., return_quantiles=True)

Pitfalls

• Install pip install "timesfm[torch]", no pip install timesfm.
• API 3.0: TimesFM3Evaluator/predict_batch; no TimesFm/forecast/forecast_with_quantiles (v1/v2).

Verificación

• predict_batch(inputs, horizon=N) y comprobar el forecast + quantiles.