{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "3ced7dbd",
   "metadata": {},
   "source": [
    "# 12 · Previsión de series temporales\n",
    "\n",
    "Prever es predecir el futuro de una magnitud que se mide a lo largo del tiempo: la demanda eléctrica, las\n",
    "ventas, el caudal de un río, el tráfico. No existe un único método mejor. Este notebook aplica siete técnicas,\n",
    "desde una referencia de una línea hasta un Transformer, a **dos problemas elegidos para tener ganadores\n",
    "opuestos**, y explica por qué cada una gana donde gana.\n",
    "\n",
    "Ejecutar todos los modelos lleva unos 25 minutos en la CPU de un portátil (las redes neuronales se llevan la\n",
    "mayor parte); los resultados guardados de abajo se pueden leer sin ejecutar nada.\n",
    "\n",
    "**Aprenderás**\n",
    "1. Las familias de métodos de previsión y cómo evaluarlos sin engañarte\n",
    "2. Ingenuo estacional, SARIMA, Prophet, gradient boosting (XGBoost), una GRU en PyTorch, una LSTM en Keras y un Transformer, aplicados al mismo problema\n",
    "3. **Ejemplo 1, demanda de bicicletas compartidas**: datos tabulares con variables conocidas y potentes, donde gana el gradient boosting\n",
    "4. **Ejemplo 2, caudal de un río por la lluvia**: estado oculto y respuestas largas y suaves, donde ganan las redes neuronales recurrentes\n",
    "5. Una guía de decisión para proyectos reales"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ceb08850",
   "metadata": {},
   "source": [
    "## 1. El panorama\n",
    "\n",
    "| Familia | Ejemplos | Aprende de | Destaca cuando |\n",
    "|---|---|---|---|\n",
    "| Referencias ingenuas | último valor, **ingenuo estacional** | nada | siempre es lo primero que hay que superar |\n",
    "| Estadística clásica | ARIMA, **SARIMA**, ETS | el propio pasado de una serie | series cortas, estables y únicas; intervalos de incertidumbre |\n",
    "| Descomponibles | **Prophet** | tendencia + estacionalidades + festivos + regresores | series de negocio con efectos de calendario claros, analistas que necesitan componentes interpretables |\n",
    "| Aprendizaje automático sobre variables | **XGBoost**, LightGBM, bosques aleatorios | una tabla de variables construidas (retardos, calendario, covariables) | problemas tabulares con variables informativas y datos moderados; la mayoría de las competiciones |\n",
    "| Redes recurrentes | **GRU**, **LSTM** | secuencias en bruto | memoria larga, estado oculto, muchas series relacionadas |\n",
    "| Atención | **Transformers** (TFT, PatchTST, Informer) | secuencias en bruto, todas las posiciones a la vez (a menudo agrupadas en parches) | contextos largos, muchos datos |\n",
    "| Modelos fundacionales | Chronos, TimesFM, Moirai | preentrenados con millones de series | previsiones sin entrenamiento previo (zero-shot) |\n",
    "\n",
    "**Evaluar previsiones con honestidad**\n",
    "- Divide por **tiempo**, nunca al azar: entrena con el pasado y prueba con el futuro.\n",
    "- Usa **orígenes móviles**: prevé desde muchos puntos del periodo de prueba, como se usaría el modelo.\n",
    "- Toda variable debe ser **conocida en el momento de prever**: la demanda de ayer sí, la demanda real de mañana\n",
    "  no. El tiempo meteorológico del día siguiente viene de una previsión meteorológica; aquí usamos el tiempo\n",
    "  observado en su lugar, una práctica habitual y ligeramente optimista para todos los modelos por igual.\n",
    "- Informa siempre de una **referencia**: un modelo sofisticado que no supera al ingenuo estacional no sirve."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0d161e5",
   "metadata": {},
   "source": [
    "## 2. Ejemplo 1: demanda horaria de bicicletas compartidas\n",
    "Dos años (2011-2012) de alquileres por hora de Capital Bikeshare, en Washington D.C., con el tiempo\n",
    "meteorológico y el calendario: el conjunto *Bike Sharing* de UCI (Fanaee-T y Gama, 2013, licencia CC BY 4.0),\n",
    "desde OpenML. La copia de OpenML no tiene la columna de fecha; las filas están en orden temporal, así que las\n",
    "marcas de tiempo se reconstruyen a partir del año, el mes, el día de la semana y la hora, y se rellenan 165\n",
    "horas que faltan (sin alquileres registrados).\n",
    "\n",
    "**Tarea:** cada medianoche, prever los 24 recuentos horarios del día siguiente. Se entrena de enero de 2011 a\n",
    "septiembre de 2012 y se prueba con los 92 días de octubre a diciembre de 2012."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "87df6ccd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:22:57.048536Z",
     "iopub.status.busy": "2026-10-18T10:22:57.048158Z",
     "iopub.status.idle": "2026-10-18T10:23:00.722457Z",
     "shell.execute_reply": "2026-10-18T10:23:00.720330Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(17544, 11) 2011-01-01 00:00:00 -> 2012-12-31 23:00:00\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>temp</th>\n",
       "      <th>feel_temp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>weather</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>hour</th>\n",
       "      <th>dow</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-01-01 00:00:00</th>\n",
       "      <td>16.0</td>\n",
       "      <td>9.84</td>\n",
       "      <td>14.395</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-01 01:00:00</th>\n",
       "      <td>40.0</td>\n",
       "      <td>9.02</td>\n",
       "      <td>13.635</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-01 02:00:00</th>\n",
       "      <td>32.0</td>\n",
       "      <td>9.02</td>\n",
       "      <td>13.635</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     count  temp  feel_temp  humidity  windspeed  weather  \\\n",
       "2011-01-01 00:00:00   16.0  9.84     14.395      0.81        0.0        0   \n",
       "2011-01-01 01:00:00   40.0  9.02     13.635      0.80        0.0        0   \n",
       "2011-01-01 02:00:00   32.0  9.02     13.635      0.80        0.0        0   \n",
       "\n",
       "                     holiday  workingday  hour  dow  month  \n",
       "2011-01-01 00:00:00        0           0     0    5      1  \n",
       "2011-01-01 01:00:00        0           0     1    5      1  \n",
       "2011-01-01 02:00:00        0           0     2    5      1  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os, time, warnings, logging\n",
    "os.environ.setdefault(\"TF_CPP_MIN_LOG_LEVEL\", \"3\")\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "import numpy as np, pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.datasets import fetch_openml\n",
    "\n",
    "raw = fetch_openml(data_id=42712, as_frame=True, parser=\"auto\").frame\n",
    "# a new day starts whenever the hour goes back down or the weekday changes\n",
    "day, days, prev_h, prev_wd = 0, [], None, None\n",
    "for h, wd in zip(raw[\"hour\"].astype(int), raw[\"weekday\"].astype(str)):\n",
    "    if prev_h is not None and (h <= prev_h or wd != prev_wd):\n",
    "        day += 1\n",
    "    days.append(day); prev_h, prev_wd = h, wd\n",
    "raw.index = pd.Timestamp(\"2011-01-01\") + pd.to_timedelta(days, \"D\") + pd.to_timedelta(raw[\"hour\"].astype(int), \"h\")\n",
    "assert (raw.index.dayofweek == (raw[\"weekday\"].astype(int) + 6) % 7).all()     # las fechas reconstruidas coinciden con los días de la semana\n",
    "\n",
    "WEATHER = [\"temp\", \"feel_temp\", \"humidity\", \"windspeed\"]\n",
    "bike = raw.reindex(pd.date_range(raw.index.min(), raw.index.max(), freq=\"h\"))\n",
    "bike[\"count\"] = bike[\"count\"].fillna(0)\n",
    "for c in WEATHER + [\"weather\", \"holiday\", \"workingday\"]:\n",
    "    bike[c] = bike[c].ffill()\n",
    "bike = pd.DataFrame({\n",
    "    \"count\": bike[\"count\"].astype(float),\n",
    "    **{c: bike[c].astype(float) for c in WEATHER},\n",
    "    \"weather\": bike[\"weather\"].astype(str).astype(\"category\").cat.codes,\n",
    "    \"holiday\": bike[\"holiday\"].astype(str).isin([\"True\", \"1\"]).astype(int),\n",
    "    \"workingday\": bike[\"workingday\"].astype(str).isin([\"True\", \"1\"]).astype(int),\n",
    "}, index=bike.index)\n",
    "bike[\"hour\"], bike[\"dow\"], bike[\"month\"] = bike.index.hour, bike.index.dayofweek, bike.index.month\n",
    "print(bike.shape, bike.index.min(), \"->\", bike.index.max())\n",
    "bike.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b916dc9f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:23:00.727099Z",
     "iopub.status.busy": "2026-10-18T10:23:00.726572Z",
     "iopub.status.idle": "2026-10-18T10:23:01.729480Z",
     "shell.execute_reply": "2026-10-18T10:23:01.727577Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x340 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3, figsize=(14, 3.4))\n",
    "bike[\"count\"].resample(\"D\").sum().plot(ax=ax[0], title=\"alquileres diarios\", color=\"#4f46e5\")\n",
    "for wd, g in bike.groupby(\"workingday\"):\n",
    "    g.groupby(\"hour\")[\"count\"].mean().plot(ax=ax[1], label=\"día laborable\" if wd else \"fin de semana / festivo\")\n",
    "ax[1].legend(); ax[1].set_title(\"media por hora del día\")\n",
    "ax[2].scatter(bike[\"temp\"], bike[\"count\"], s=1, alpha=.15); ax[2].set_xlabel(\"temperatura (normalizada)\"); ax[2].set_title(\"alquileres frente a temperatura\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fba0690",
   "metadata": {},
   "source": [
    "Los datos tienen todo lo que facilita prever con variables: dos patrones diarios fuertes (picos de ida y vuelta\n",
    "al trabajo en días laborables, una joroba a mediodía en fines de semana), crecimiento de 2011 a 2012 y una\n",
    "fuerte dependencia del tiempo. Modelamos `log(1 + count)` para que los errores de madrugada y de hora punta\n",
    "cuenten en proporción, y puntuamos las previsiones en bicicletas por hora."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2ce32f23",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:23:01.735528Z",
     "iopub.status.busy": "2026-10-18T10:23:01.735017Z",
     "iopub.status.idle": "2026-10-18T10:23:01.753604Z",
     "shell.execute_reply": "2026-10-18T10:23:01.751920Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "92 días de prueba, 2,208 horas\n"
     ]
    }
   ],
   "source": [
    "bike[\"y\"] = np.log1p(bike[\"count\"])\n",
    "TEST_START = pd.Timestamp(\"2012-10-01\")\n",
    "test_days = pd.date_range(TEST_START, bike.index.max().normalize(), freq=\"D\")\n",
    "y_true = bike.loc[bike.index >= TEST_START, \"count\"].to_numpy()\n",
    "\n",
    "results, forecasts = {}, {}\n",
    "def score(name, pred_log, seconds):\n",
    "    pred = np.clip(np.expm1(np.asarray(pred_log)), 0, None)\n",
    "    forecasts[name] = pred\n",
    "    results[name] = {\"MAE (bicis/h)\": np.mean(np.abs(pred - y_true)),\n",
    "                     \"RMSE (bicis/h)\": np.sqrt(np.mean((pred - y_true) ** 2)),\n",
    "                     \"seconds\": seconds}\n",
    "    print(f\"{name:<22} MAE {results[name]['MAE (bicis/h)']:6.1f}   RMSE {results[name]['RMSE (bicis/h)']:6.1f}   ({seconds:.0f} s)\")\n",
    "print(f\"{len(test_days)} días de prueba, {len(y_true):,} horas\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9ddf016",
   "metadata": {},
   "source": [
    "### 2.1 Ingenuo estacional\n",
    "Mañana a las 8:00 se parecerá al mismo día de la semana pasada a las 8:00. Una línea, sin ajuste."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d3bcd8be",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:23:01.758902Z",
     "iopub.status.busy": "2026-10-18T10:23:01.758420Z",
     "iopub.status.idle": "2026-10-18T10:23:01.767460Z",
     "shell.execute_reply": "2026-10-18T10:23:01.765911Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ingenuo estacional (7 d) MAE   75.9   RMSE  129.8   (0 s)\n"
     ]
    }
   ],
   "source": [
    "t0 = time.perf_counter()\n",
    "score(\"Ingenuo estacional (7 d)\", bike[\"y\"].shift(168).loc[bike.index >= TEST_START], time.perf_counter() - t0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9565941",
   "metadata": {},
   "source": [
    "### 2.2 SARIMA (statsmodels)\n",
    "Un ARIMA estacional con una estación de 24 horas y el tiempo meteorológico como regresores externos (SARIMAX).\n",
    "Ajustarlo con dos años de datos horarios es lento, así que se ajusta con las últimas ocho semanas antes del\n",
    "periodo de prueba; cada medianoche se actualiza con el día real que acaba de terminar (sin reajustar) y prevé\n",
    "las 24 horas siguientes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "62167a9f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:23:01.772052Z",
     "iopub.status.busy": "2026-10-18T10:23:01.771528Z",
     "iopub.status.idle": "2026-10-18T10:23:52.687183Z",
     "shell.execute_reply": "2026-10-18T10:23:52.685341Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/patito/Developments/academy/python/.venv/lib/python3.12/site-packages/statsmodels/tsa/statespace/mlemodel.py:737: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
      "  mlefit = super().fit(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SARIMA                 MAE   94.3   RMSE  140.6   (50 s)\n"
     ]
    }
   ],
   "source": [
    "from statsmodels.tsa.statespace.sarimax import SARIMAX\n",
    "EXOG = [\"temp\", \"humidity\", \"windspeed\", \"workingday\"]\n",
    "t0 = time.perf_counter()\n",
    "hist = bike.loc[TEST_START - pd.Timedelta(weeks=8): TEST_START - pd.Timedelta(hours=1)]\n",
    "res = SARIMAX(hist[\"y\"], exog=hist[EXOG], order=(2, 0, 1), seasonal_order=(1, 0, 1, 24),\n",
    "              enforce_stationarity=False, enforce_invertibility=False).fit(disp=False, maxiter=60)\n",
    "preds = []\n",
    "for i, d in enumerate(test_days):\n",
    "    day = bike.loc[d: d + pd.Timedelta(hours=23)]\n",
    "    if i > 0:\n",
    "        prev = bike.loc[d - pd.Timedelta(days=1): d - pd.Timedelta(hours=1)]\n",
    "        res = res.append(prev[\"y\"], exog=prev[EXOG], refit=False)\n",
    "    preds.append(res.forecast(len(day), exog=day[EXOG]).to_numpy())\n",
    "score(\"SARIMA\", np.concatenate(preds), time.perf_counter() - t0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bed20c5c",
   "metadata": {},
   "source": [
    "### 2.3 Prophet\n",
    "Prophet, de Meta, modela una serie como tendencia + estacionalidad anual, semanal y diaria + regresores, y se\n",
    "ajusta una sola vez. No mira los valores de los últimos días, así que no puede reaccionar a una sorpresa\n",
    "reciente, pero sus componentes son fáciles de explicar a personas no especialistas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "125593d8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:23:52.691507Z",
     "iopub.status.busy": "2026-10-18T10:23:52.690809Z",
     "iopub.status.idle": "2026-10-18T10:24:01.650311Z",
     "shell.execute_reply": "2026-10-18T10:24:01.647627Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Importing plotly failed. Interactive plots will not work.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Prophet                MAE   84.9   RMSE  125.4   (9 s)\n"
     ]
    }
   ],
   "source": [
    "from prophet import Prophet\n",
    "logging.getLogger(\"cmdstanpy\").disabled = True\n",
    "logging.getLogger(\"prophet\").setLevel(logging.ERROR)\n",
    "train = bike.loc[bike.index < TEST_START]\n",
    "t0 = time.perf_counter()\n",
    "pdf = pd.DataFrame({\"ds\": train.index, \"y\": train[\"y\"].to_numpy(), **{c: train[c].to_numpy() for c in EXOG}})\n",
    "prophet = Prophet(daily_seasonality=True, weekly_seasonality=True, yearly_seasonality=True)\n",
    "for c in EXOG:\n",
    "    prophet.add_regressor(c)\n",
    "prophet.fit(pdf)\n",
    "test = bike.loc[bike.index >= TEST_START]\n",
    "fut = pd.DataFrame({\"ds\": test.index, **{c: test[c].to_numpy() for c in EXOG}})\n",
    "score(\"Prophet\", prophet.predict(fut)[\"yhat\"].to_numpy(), time.perf_counter() - t0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3cbfe7d",
   "metadata": {},
   "source": [
    "### 2.4 Gradient boosting (XGBoost)\n",
    "Convertir la previsión en una tabla: una fila por hora, con variables de calendario, el tiempo meteorológico y\n",
    "**retardos conocidos a medianoche**: la misma hora de ayer (24 h), de hace dos días (48 h) y de la semana pasada\n",
    "(168 h), y la media de ayer. Un solo modelo prevé directamente cada hora del día."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8b7f16ac",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:24:01.654177Z",
     "iopub.status.busy": "2026-10-18T10:24:01.653768Z",
     "iopub.status.idle": "2026-10-18T10:24:05.472412Z",
     "shell.execute_reply": "2026-10-18T10:24:05.470548Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGBoost                MAE   44.6   RMSE   71.0   (4 s)\n"
     ]
    }
   ],
   "source": [
    "import xgboost as xgb\n",
    "feat = bike.copy()\n",
    "feat[\"lag24\"], feat[\"lag48\"], feat[\"lag168\"] = feat[\"y\"].shift(24), feat[\"y\"].shift(48), feat[\"y\"].shift(168)\n",
    "feat[\"prev_day_mean\"] = feat[\"y\"].shift(24).rolling(24).mean()     # termina como muy tarde en la medianoche de la previsión\n",
    "feat[\"trend\"] = np.arange(len(feat))\n",
    "FEATURES = [\"hour\", \"dow\", \"month\", \"workingday\", \"holiday\", \"weather\", *WEATHER,\n",
    "            \"lag24\", \"lag48\", \"lag168\", \"prev_day_mean\", \"trend\"]\n",
    "tr_rows = feat.loc[feat.index < TEST_START].dropna()\n",
    "te_rows = feat.loc[feat.index >= TEST_START]\n",
    "\n",
    "t0 = time.perf_counter()\n",
    "xgb_model = xgb.XGBRegressor(n_estimators=800, max_depth=7, learning_rate=0.03, subsample=0.8,\n",
    "                             colsample_bytree=0.8, n_jobs=4, random_state=0)\n",
    "xgb_model.fit(tr_rows[FEATURES], tr_rows[\"y\"])\n",
    "score(\"XGBoost\", xgb_model.predict(te_rows[FEATURES]), time.perf_counter() - t0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82693a71",
   "metadata": {},
   "source": [
    "### 2.5 Redes neuronales: GRU (PyTorch), LSTM (Keras), Transformer (PyTorch)\n",
    "Los modelos de secuencias reciben el historial en bruto en lugar de retardos hechos a mano: los últimos **7 días**\n",
    "(168 horas) de demanda, tiempo y calendario, más el tiempo y el calendario de las **24 horas a prever**, y\n",
    "devuelven los 24 valores a la vez. El entrenamiento usa como origen de previsión una de cada tres horas del\n",
    "periodo de entrenamiento (unos 5.000 ejemplos); las cuatro últimas semanas de entrenamiento se reservan para\n",
    "detenerlo en la mejor época."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2b596d13",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:24:05.477228Z",
     "iopub.status.busy": "2026-10-18T10:24:05.476658Z",
     "iopub.status.idle": "2026-10-18T10:24:05.582258Z",
     "shell.execute_reply": "2026-10-18T10:24:05.580295Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "entrenamiento (4824, 168, 10) validación (28, 168, 10) prueba (92, 168, 10)\n"
     ]
    }
   ],
   "source": [
    "SEQ_IN = [\"y\", \"temp\", \"humidity\", \"windspeed\", \"workingday\", \"holiday\"]\n",
    "FUT_IN = [\"temp\", \"humidity\", \"windspeed\", \"workingday\", \"holiday\"]\n",
    "L, H = 168, 24\n",
    "arr = bike.assign(h_sin=np.sin(2 * np.pi * bike[\"hour\"] / 24), h_cos=np.cos(2 * np.pi * bike[\"hour\"] / 24),\n",
    "                  d_sin=np.sin(2 * np.pi * bike[\"dow\"] / 7), d_cos=np.cos(2 * np.pi * bike[\"dow\"] / 7))\n",
    "CAL = [\"h_sin\", \"h_cos\", \"d_sin\", \"d_cos\"]\n",
    "past = arr[SEQ_IN + CAL].to_numpy(np.float32)\n",
    "future = arr[FUT_IN + CAL].to_numpy(np.float32)\n",
    "target = arr[\"y\"].to_numpy(np.float32)\n",
    "mu, sd = past[: arr.index.get_loc(TEST_START)].mean(0), past[: arr.index.get_loc(TEST_START)].std(0) + 1e-6\n",
    "fmu, fsd = future[: arr.index.get_loc(TEST_START)].mean(0), future[: arr.index.get_loc(TEST_START)].std(0) + 1e-6\n",
    "past_n, fut_n = (past - mu) / sd, (future - fmu) / fsd\n",
    "y_mu, y_sd = mu[0], sd[0]\n",
    "\n",
    "def make(origins):\n",
    "    X = np.stack([past_n[o - L:o] for o in origins])\n",
    "    F = np.stack([fut_n[o:o + H] for o in origins])\n",
    "    Y = np.stack([(target[o:o + H] - y_mu) / y_sd for o in origins])\n",
    "    return X, F, Y\n",
    "\n",
    "test_o = [arr.index.get_loc(d) for d in test_days]\n",
    "val_start = arr.index.get_loc(TEST_START - pd.Timedelta(weeks=4))\n",
    "train_o = list(range(L, val_start - H, 3))\n",
    "val_o = [arr.index.get_loc(d) for d in pd.date_range(TEST_START - pd.Timedelta(weeks=4), TEST_START - pd.Timedelta(days=1), freq=\"D\")]\n",
    "(Xtr, Ftr, Ytr), (Xva, Fva, Yva), (Xte, Fte, _) = make(train_o), make(val_o), make(test_o)\n",
    "print(\"entrenamiento\", Xtr.shape, \"validación\", Xva.shape, \"prueba\", Xte.shape)\n",
    "to_log = lambda p: p.reshape(-1) * y_sd + y_mu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5c2761a9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:24:05.586224Z",
     "iopub.status.busy": "2026-10-18T10:24:05.585780Z",
     "iopub.status.idle": "2026-10-18T10:28:18.936934Z",
     "shell.execute_reply": "2026-10-18T10:28:18.934367Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GRU (PyTorch)          MAE   46.4   RMSE   75.0   (250 s)\n",
      "   detenido tras 18 épocas\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "torch.manual_seed(0); torch.set_num_threads(4)\n",
    "\n",
    "def train_torch(model, epochs=30, lr=2e-3, batch=128, patience=5):\n",
    "    opt = torch.optim.Adam(model.parameters(), lr=lr)\n",
    "    t = lambda a: torch.tensor(a)\n",
    "    Xt, Ft, Yt, Xv, Fv, Yv = map(t, (Xtr, Ftr, Ytr, Xva, Fva, Yva))\n",
    "    best, best_state, bad = np.inf, None, 0\n",
    "    for ep in range(epochs):\n",
    "        model.train()\n",
    "        for i in torch.randperm(len(Xt)).split(batch):\n",
    "            opt.zero_grad()\n",
    "            loss = torch.nn.functional.mse_loss(model(Xt[i], Ft[i]), Yt[i]); loss.backward(); opt.step()\n",
    "        model.eval()\n",
    "        with torch.no_grad():\n",
    "            v = torch.nn.functional.mse_loss(model(Xv, Fv), Yv).item()\n",
    "        if v < best - 1e-4:\n",
    "            best, best_state, bad = v, {k: x.clone() for k, x in model.state_dict().items()}, 0\n",
    "        else:\n",
    "            bad += 1\n",
    "            if bad >= patience:\n",
    "                break\n",
    "    model.load_state_dict(best_state); model.eval()\n",
    "    with torch.no_grad():\n",
    "        return model(torch.tensor(Xte), torch.tensor(Fte)).numpy(), ep + 1\n",
    "\n",
    "class GRUForecaster(torch.nn.Module):\n",
    "    '''La GRU codificadora lee la semana pasada; una red pequeña combina su estado final con las covariables del día siguiente.'''\n",
    "    def __init__(self, n_in, n_fut, hidden=64):\n",
    "        super().__init__()\n",
    "        self.gru = torch.nn.GRU(n_in, hidden, batch_first=True)\n",
    "        self.head = torch.nn.Sequential(torch.nn.Linear(hidden + n_fut * H, 128), torch.nn.ReLU(), torch.nn.Linear(128, H))\n",
    "    def forward(self, x, f):\n",
    "        _, h = self.gru(x)\n",
    "        return self.head(torch.cat([h[-1], f.flatten(1)], 1))\n",
    "\n",
    "t0 = time.perf_counter()\n",
    "p, ep = train_torch(GRUForecaster(Xtr.shape[2], Ftr.shape[2]))\n",
    "score(\"GRU (PyTorch)\", to_log(p), time.perf_counter() - t0); print(f\"   detenido tras {ep} épocas\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "473d2672",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:28:18.943257Z",
     "iopub.status.busy": "2026-10-18T10:28:18.942110Z",
     "iopub.status.idle": "2026-10-18T10:32:23.035062Z",
     "shell.execute_reply": "2026-10-18T10:32:23.031425Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "I0000 00:00:1792319299.854917 1040962 cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "I0000 00:00:1792319303.250631 1040962 cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LSTM (Keras)           MAE   50.0   RMSE   81.4   (239 s)\n",
      "   detenido tras 22 épocas\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "tf.keras.utils.set_random_seed(0)\n",
    "inp_x = tf.keras.Input((L, Xtr.shape[2])); inp_f = tf.keras.Input((H, Ftr.shape[2]))\n",
    "z = tf.keras.layers.LSTM(64)(inp_x)\n",
    "z = tf.keras.layers.Concatenate()([z, tf.keras.layers.Flatten()(inp_f)])\n",
    "z = tf.keras.layers.Dense(128, activation=\"relu\")(z)\n",
    "lstm = tf.keras.Model([inp_x, inp_f], tf.keras.layers.Dense(H)(z))\n",
    "lstm.compile(optimizer=tf.keras.optimizers.Adam(2e-3), loss=\"mse\")\n",
    "t0 = time.perf_counter()\n",
    "hist_k = lstm.fit([Xtr, Ftr], Ytr, validation_data=([Xva, Fva], Yva), epochs=30, batch_size=128, verbose=0,\n",
    "                  callbacks=[tf.keras.callbacks.EarlyStopping(patience=5, restore_best_weights=True)])\n",
    "score(\"LSTM (Keras)\", to_log(lstm.predict([Xte, Fte], verbose=0)), time.perf_counter() - t0)\n",
    "print(f\"   detenido tras {len(hist_k.history['loss'])} épocas\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f985cb80",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:32:23.045416Z",
     "iopub.status.busy": "2026-10-18T10:32:23.043342Z",
     "iopub.status.idle": "2026-10-18T10:34:24.703108Z",
     "shell.execute_reply": "2026-10-18T10:34:24.699790Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Transformer (PyTorch)  MAE   50.0   RMSE   83.0   (121 s)\n",
      "   detenido tras 17 épocas\n"
     ]
    }
   ],
   "source": [
    "class PatchTransformer(torch.nn.Module):\n",
    "    '''Al estilo de PatchTST: la semana se corta en 7 parches de 24 horas, cada parche se convierte en un token, y\n",
    "    la autoatención relaciona cada día de la semana con todos los demás. 7 tokens en lugar de 168 abaratan mucho\n",
    "    la atención, y así manejan las entradas largas los Transformers de previsión modernos.'''\n",
    "    def __init__(self, n_in, n_fut, d=64, heads=4, layers=2, patch=24):\n",
    "        super().__init__()\n",
    "        self.patch = patch\n",
    "        self.embed = torch.nn.Linear(n_in * patch, d)\n",
    "        self.pos = torch.nn.Parameter(torch.randn(1, L // patch, d) * 0.02)          # posición aprendida por día\n",
    "        layer = torch.nn.TransformerEncoderLayer(d, heads, dim_feedforward=128, dropout=0.1, batch_first=True)\n",
    "        self.encoder = torch.nn.TransformerEncoder(layer, layers)\n",
    "        self.head = torch.nn.Sequential(torch.nn.Linear(d * (L // patch) + n_fut * H, 128), torch.nn.ReLU(), torch.nn.Linear(128, H))\n",
    "    def forward(self, x, f):\n",
    "        tokens = x.reshape(x.shape[0], L // self.patch, -1)                          # (lote, 7 días, 24 h x variables)\n",
    "        z = self.encoder(self.embed(tokens) + self.pos)\n",
    "        return self.head(torch.cat([z.flatten(1), f.flatten(1)], 1))\n",
    "\n",
    "torch.manual_seed(0)\n",
    "t0 = time.perf_counter()\n",
    "p, ep = train_torch(PatchTransformer(Xtr.shape[2], Ftr.shape[2]), lr=1e-3)\n",
    "score(\"Transformer (PyTorch)\", to_log(p), time.perf_counter() - t0); print(f\"   detenido tras {ep} épocas\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "210c2f31",
   "metadata": {},
   "source": [
    "### 2.6 Resultados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "686e9ee4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:34:24.713011Z",
     "iopub.status.busy": "2026-10-18T10:34:24.711974Z",
     "iopub.status.idle": "2026-10-18T10:34:25.503405Z",
     "shell.execute_reply": "2026-10-18T10:34:25.501042Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MAE (bicis/h)</th>\n",
       "      <th>RMSE (bicis/h)</th>\n",
       "      <th>seconds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>XGBoost</th>\n",
       "      <td>44.6</td>\n",
       "      <td>71.0</td>\n",
       "      <td>3.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GRU (PyTorch)</th>\n",
       "      <td>46.4</td>\n",
       "      <td>75.0</td>\n",
       "      <td>250.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LSTM (Keras)</th>\n",
       "      <td>50.0</td>\n",
       "      <td>81.4</td>\n",
       "      <td>239.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transformer (PyTorch)</th>\n",
       "      <td>50.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>121.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ingenuo estacional (7 d)</th>\n",
       "      <td>75.9</td>\n",
       "      <td>129.8</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prophet</th>\n",
       "      <td>84.9</td>\n",
       "      <td>125.4</td>\n",
       "      <td>8.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SARIMA</th>\n",
       "      <td>94.3</td>\n",
       "      <td>140.6</td>\n",
       "      <td>50.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          MAE (bicis/h)  RMSE (bicis/h)  seconds\n",
       "XGBoost                            44.6            71.0      3.7\n",
       "GRU (PyTorch)                      46.4            75.0    250.4\n",
       "LSTM (Keras)                       50.0            81.4    239.1\n",
       "Transformer (PyTorch)              50.0            83.0    121.5\n",
       "Ingenuo estacional (7 d)           75.9           129.8      0.0\n",
       "Prophet                            84.9           125.4      8.9\n",
       "SARIMA                             94.3           140.6     50.2"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1300x380 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "table_a = pd.DataFrame(results).T.sort_values(\"MAE (bicis/h)\").round(1)\n",
    "display(table_a)\n",
    "\n",
    "week = slice(0, 24 * 7)\n",
    "idx = bike.index[bike.index >= TEST_START][week]\n",
    "plt.figure(figsize=(13, 3.8))\n",
    "plt.plot(idx, y_true[week], color=\"black\", lw=2, label=\"real\")\n",
    "for name in [\"XGBoost\", \"GRU (PyTorch)\", \"Prophet\", \"Ingenuo estacional (7 d)\"]:\n",
    "    plt.plot(idx, forecasts[name][week], lw=1.2, label=name)\n",
    "plt.legend(ncol=5, fontsize=8); plt.title(\"Primera semana de prueba: previsiones a un día\"); plt.ylabel(\"bicicletas por hora\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "dae79364",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:34:25.509926Z",
     "iopub.status.busy": "2026-10-18T10:34:25.509447Z",
     "iopub.status.idle": "2026-10-18T10:34:26.080690Z",
     "shell.execute_reply": "2026-10-18T10:34:26.077752Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "imp = pd.Series(xgb_model.get_booster().get_score(importance_type=\"gain\")).sort_values()\n",
    "imp.tail(10).plot.barh(figsize=(6, 3.6), color=\"#4f46e5\", title=\"XGBoost: qué impulsa la previsión (ganancia)\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e98869bd",
   "metadata": {},
   "source": [
    "### Por qué gana aquí el gradient boosting\n",
    "**XGBoost tiene el menor error** (unas 45 bicicletas por hora frente a 76 del ingenuo estacional) y se entrena en\n",
    "segundos. La GRU se queda cerca, a pocos puntos porcentuales, tras minutos de entrenamiento; la LSTM y el\n",
    "Transformer quedan algo más atrás. SARIMA y Prophet lo hacen peor que la referencia de una línea: la estructura\n",
    "lineal de SARIMA, ajustada con las semanas recientes, no puede representar el cambio entre el patrón laborable y\n",
    "el de fin de semana ni el efecto no lineal del tiempo, y Prophet nunca mira los últimos días, así que no puede\n",
    "ajustarse al nivel actual de demanda.\n",
    "\n",
    "Lo que convierte esto en un problema de gradient boosting:\n",
    "1. **La información está en unas pocas variables fuertes y conocidas.** La hora, el día laborable y el tiempo\n",
    "   deciden la mayor parte de la demanda, y todas se conocen al hacer la previsión. Un modelo que traduce\n",
    "   variables en demanda no necesita más memoria del pasado que unos pocos retardos.\n",
    "2. **Interacciones bruscas.** \"Hora punta, pero solo en días laborables\" y \"la lluvia hunde la demanda\" son\n",
    "   exactamente las divisiones si-entonces de las que están hechos los árboles; una red neuronal tiene que\n",
    "   aproximarlas con funciones suaves.\n",
    "3. **Pocos datos.** 21 meses de una sola ciudad son unas 5.000 ventanas de entrenamiento: de sobra para los\n",
    "   árboles, modesto para redes con decenas de miles de pesos.\n",
    "4. **Entradas mezcladas.** Las categorías, los indicadores binarios y los valores continuos de escalas distintas\n",
    "   no necesitan escalado ni embeddings en los árboles.\n",
    "5. **Coste y claridad.** Segundos en lugar de minutos, y un gráfico de importancia de variables que explica el modelo.\n",
    "\n",
    "Las redes no fueron inútiles: a partir de la semana de historial en bruto redescubrieron la mayor parte de la\n",
    "estructura que los retardos le daban gratis a XGBoost. Con muchos más datos (muchas ciudades, muchos años) esa\n",
    "ventaja crece."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc9353a1",
   "metadata": {},
   "source": [
    "## 3. Ejemplo 2: el caudal de un río impulsado por la lluvia\n",
    "Los hidrólogos prevén el caudal de los ríos para avisar de inundaciones. El caudal en una estación de aforo\n",
    "depende de la lluvia caída en la cuenca, pero no de forma sencilla: la lluvia primero empapa el suelo, y solo un\n",
    "suelo húmedo produce escorrentía; después el agua llega al río en horas o días por caminos lentos y rápidos, con\n",
    "un retardo y una forma propios de cada cuenca. La humedad del suelo es un **estado oculto** que nunca se mide\n",
    "directamente.\n",
    "\n",
    "Simulamos **24 cuencas** con un modelo conceptual estándar (un depósito de suelo con un umbral de escorrentía no\n",
    "lineal, depósitos rápido y lento y un retardo de tránsito propio de cada cuenca), cada una con sus parámetros\n",
    "desconocidos, así que el comportamiento real se conoce y no hay problemas de licencias. En grandes conjuntos de\n",
    "datos reales de este tipo (por ejemplo CAMELS, 671 cuencas de Estados Unidos) las LSTM han superado tanto a los\n",
    "modelos hidrológicos conceptuales como a los conjuntos de árboles, y este ejemplo lo reproduce en miniatura.\n",
    "\n",
    "**Tarea:** en cada origen de previsión, con las últimas 72 horas de lluvia y caudal y la **previsión de lluvia de\n",
    "las 48 horas siguientes**, predecir el caudal de esas 48 horas. Un solo modelo para todas las cuencas, sin decirle\n",
    "qué cuenca está viendo: tiene que reconocer el comportamiento de la cuenca a partir del historial."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bad3a55e",
   "metadata": {},
   "source": [
    "### 3.1 Simular las cuencas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a429df31",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:34:26.087819Z",
     "iopub.status.busy": "2026-10-18T10:34:26.087145Z",
     "iopub.status.idle": "2026-10-18T10:34:36.202127Z",
     "shell.execute_reply": "2026-10-18T10:34:36.200053Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "simuladas 24 cuencas x 17,520 horas en 3 s\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x460 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rng = np.random.default_rng(0)\n",
    "HOURS = 24 * 365 * 2                                  # dos años por cuenca: el año 1 para entrenar, el año 2 para probar\n",
    "\n",
    "def simulate_catchment(p, rng):\n",
    "    t = np.arange(HOURS)\n",
    "    season = 1 + 0.6 * np.sin(2 * np.pi * t / (24 * 365))\n",
    "    rain = np.zeros(HOURS)\n",
    "    for s in np.where(rng.random(HOURS) < 0.015 * season)[0]:          # tormentas: comienzos aleatorios, más en invierno\n",
    "        dur = rng.integers(2, 14)\n",
    "        rain[s:s + dur] += rng.gamma(1.4, 7) / dur\n",
    "    S, fast, slow, q = p[\"Smax\"] * 0.4, 0.0, 0.0, np.zeros(HOURS)\n",
    "    pet = 0.06 * (1 + 0.8 * np.sin(2 * np.pi * (t - 24 * 80) / (24 * 365)))   # evaporación, mayor en verano\n",
    "    for i in range(HOURS):\n",
    "        runoff = rain[i] * (S / p[\"Smax\"]) ** p[\"b\"]                    # suelo húmedo -> más lluvia se convierte en escorrentía\n",
    "        S = max(0.0, min(p[\"Smax\"], S + rain[i] - runoff) - pet[i] * S / p[\"Smax\"])\n",
    "        fast += runoff; slow += 0.004 * S                               # camino superficial rápido, camino subterráneo lento\n",
    "        out = p[\"kf\"] * fast + p[\"ks\"] * slow\n",
    "        fast -= p[\"kf\"] * fast; slow -= p[\"ks\"] * slow\n",
    "        q[i] = out\n",
    "    k = np.arange(48)\n",
    "    uh = k ** (p[\"shape\"] - 1) * np.exp(-k / p[\"scale\"]); uh /= uh.sum()   # retardo de tránsito, propio de cada cuenca\n",
    "    flow = np.convolve(q, uh)[:HOURS]\n",
    "    return rain, flow * (1 + 0.03 * rng.standard_normal(HOURS))       # 3% de ruido de medida\n",
    "\n",
    "t0 = time.perf_counter()\n",
    "catchments = []\n",
    "for c in range(24):\n",
    "    p = dict(Smax=rng.uniform(40, 220), b=rng.uniform(1.5, 4.5), kf=rng.uniform(0.1, 0.4),\n",
    "             ks=rng.uniform(0.004, 0.02), shape=rng.uniform(1.5, 6), scale=rng.uniform(1.5, 5))\n",
    "    catchments.append(simulate_catchment(p, rng))\n",
    "print(f\"simuladas {len(catchments)} cuencas x {HOURS:,} horas en {time.perf_counter() - t0:.0f} s\")\n",
    "\n",
    "fig, axes = plt.subplots(2, 1, figsize=(13, 4.6), sharex=True)\n",
    "for ax, c in zip(axes, [0, 5]):\n",
    "    rain, flow = catchments[c]\n",
    "    sl = slice(24 * 300, 24 * 340)\n",
    "    ax.bar(np.arange(sl.start, sl.stop), rain[sl], color=\"#0ea5e9\", width=1, label=\"lluvia\")\n",
    "    ax2 = ax.twinx(); ax2.plot(np.arange(sl.start, sl.stop), flow[sl], color=\"#4f46e5\", label=\"caudal del río\")\n",
    "    ax.set_ylabel(\"lluvia\"); ax2.set_ylabel(\"caudal\"); ax.set_title(f\"cuenca {c}: tormentas parecidas, respuestas distintas\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0aff77ed",
   "metadata": {},
   "source": [
    "Fíjate en lo distinto que responden las dos cuencas a tormentas parecidas: el tamaño de la respuesta depende de lo\n",
    "húmedo que ya estaba el suelo, y el retardo y la forma de la crecida dependen de la cuenca."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e4a20688",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:34:36.210150Z",
     "iopub.status.busy": "2026-10-18T10:34:36.209449Z",
     "iopub.status.idle": "2026-10-18T10:34:36.674804Z",
     "shell.execute_reply": "2026-10-18T10:34:36.669430Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "entrenamiento (11880, 72, 2) validación (672, 72, 2) prueba (8712, 72, 2)\n",
      "Persistencia (último caudal)       MAE 0.1186  RMSE 0.2649  MAE 5% caudales más altos 0.6219  (0 s)\n"
     ]
    }
   ],
   "source": [
    "L2, H2 = 72, 48\n",
    "def windows(rain, flow, start, end, stride):\n",
    "    X, R, Y = [], [], []\n",
    "    for o in range(max(start, L2), end - H2, stride):\n",
    "        X.append(np.stack([rain[o - L2:o], flow[o - L2:o]], 1)); R.append(rain[o:o + H2]); Y.append(flow[o:o + H2])\n",
    "    return np.array(X, np.float32), np.array(R, np.float32), np.array(Y, np.float32)\n",
    "\n",
    "YEAR = 24 * 365\n",
    "tr = [windows(r, f, 0, YEAR - 24 * 30, 16) for r, f in catchments]             # entrenamiento, se reserva el último mes\n",
    "va = [windows(r, f, YEAR - 24 * 30, YEAR, 24) for r, f in catchments]          # validación para la parada temprana\n",
    "te = [windows(r, f, YEAR, HOURS, 24) for r, f in catchments]                    # una previsión al día en el año 2\n",
    "stack = lambda parts, k: np.concatenate([p[k] for p in parts])\n",
    "Xtr2, Rtr2, Ytr2 = (stack(tr, k) for k in range(3))\n",
    "Xva2, Rva2, Yva2 = (stack(va, k) for k in range(3))\n",
    "Xte2, Rte2, Yte2 = (stack(te, k) for k in range(3))\n",
    "print(\"entrenamiento\", Xtr2.shape, \"validación\", Xva2.shape, \"prueba\", Xte2.shape)\n",
    "\n",
    "results2, preds2 = {}, {}\n",
    "def score2(name, pred, seconds):\n",
    "    preds2[name] = pred\n",
    "    results2[name] = {\"MAE\": float(np.mean(np.abs(pred - Yte2))), \"RMSE\": float(np.sqrt(np.mean((pred - Yte2) ** 2))),\n",
    "                      \"MAE caudales altos\": float(np.mean(np.abs(pred - Yte2)[Yte2 > np.quantile(Yte2, 0.95)])), \"seconds\": seconds}\n",
    "    r = results2[name]\n",
    "    print(f\"{name:<34} MAE {r['MAE']:.4f}  RMSE {r['RMSE']:.4f}  MAE 5% caudales más altos {r['MAE caudales altos']:.4f}  ({seconds:.0f} s)\")\n",
    "\n",
    "score2(\"Persistencia (último caudal)\", np.repeat(Xte2[:, -1:, 1], H2, 1), 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "094cf944",
   "metadata": {},
   "source": [
    "El ingenuo estacional, SARIMA y Prophet se dejan fuera a propósito: el caudal de un río no tiene un ciclo diario\n",
    "o semanal fiable, y su motor (la lluvia) actúa a través de una respuesta no lineal y dependiente del estado que\n",
    "esos modelos no pueden expresar. La persistencia es la referencia honesta.\n",
    "\n",
    "### 3.2 Gradient boosting con las mejores variables que podemos darle\n",
    "La misma receta que ganó el ejemplo 1: una tabla con el caudal y la lluvia recientes, los totales de la ventana y\n",
    "la lluvia prevista para cada una de las 48 horas siguientes con su total acumulado. Un solo modelo para todos los\n",
    "horizontes, con el horizonte como variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "80ab13ed",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:34:36.683972Z",
     "iopub.status.busy": "2026-10-18T10:34:36.682703Z",
     "iopub.status.idle": "2026-10-18T10:47:31.613583Z",
     "shell.execute_reply": "2026-10-18T10:47:31.607920Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGBoost (variables construidas)    MAE 0.0561  RMSE 0.1228  MAE 5% caudales más altos 0.2991  (775 s)\n"
     ]
    }
   ],
   "source": [
    "def table(X, R):\n",
    "    rain, flow = X[:, :, 0], X[:, :, 1]\n",
    "    base = np.concatenate([flow[:, -24:], rain[:, -24:], rain.sum(1, keepdims=True), flow.mean(1, keepdims=True),\n",
    "                           flow.max(1, keepdims=True), R, np.cumsum(R, 1)], 1)\n",
    "    n = len(base)\n",
    "    lead = np.tile(np.arange(H2), n)[:, None]\n",
    "    return np.concatenate([np.repeat(base, H2, 0), lead], 1).astype(np.float32)\n",
    "\n",
    "t0 = time.perf_counter()\n",
    "gbm2 = xgb.XGBRegressor(n_estimators=500, max_depth=8, learning_rate=0.05, subsample=0.5, colsample_bytree=0.8,\n",
    "                        tree_method=\"hist\", n_jobs=4, random_state=0)\n",
    "gbm2.fit(table(Xtr2, Rtr2), Ytr2.reshape(-1))\n",
    "score2(\"XGBoost (variables construidas)\", gbm2.predict(table(Xte2, Rte2)).reshape(-1, H2), time.perf_counter() - t0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e7bac77",
   "metadata": {},
   "source": [
    "### 3.3 Redes recurrentes: GRU (PyTorch) y LSTM (Keras) codificador-decodificador\n",
    "Un **codificador** lee las 72 horas pasadas de lluvia y caudal; su estado oculto final es la estimación propia de\n",
    "la red sobre el estado de la cuenca (lo húmeda que está, lo rápido que responde). Después un **decodificador**\n",
    "recorre las 48 horas de previsión, leyendo la lluvia prevista hora a hora y actualizando ese estado, tal como el\n",
    "agua se mueve por la cuenca. No se construye ninguna variable a mano."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5451460f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T10:47:31.621178Z",
     "iopub.status.busy": "2026-10-18T10:47:31.620500Z",
     "iopub.status.idle": "2026-10-18T11:17:52.956109Z",
     "shell.execute_reply": "2026-10-18T11:17:52.952020Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GRU codificador-decodificador (PyTorch) MAE 0.0342  RMSE 0.0816  MAE 5% caudales más altos 0.1799  (1821 s)\n",
      "   30 épocas\n"
     ]
    }
   ],
   "source": [
    "r_sd, f_sd = Xtr2[:, :, 0].std(), Ytr2.std()\n",
    "def norm(X, R):\n",
    "    return np.concatenate([X[:, :, :1] / r_sd, X[:, :, 1:] / f_sd], 2).astype(np.float32), (R / r_sd)[..., None].astype(np.float32)\n",
    "(Xtr_n, Rtr_n), (Xva_n, Rva_n), (Xte_n, Rte_n) = norm(Xtr2, Rtr2), norm(Xva2, Rva2), norm(Xte2, Rte2)\n",
    "\n",
    "class Seq2SeqGRU(torch.nn.Module):\n",
    "    def __init__(self, hidden=64):\n",
    "        super().__init__()\n",
    "        self.encoder = torch.nn.GRU(2, hidden, batch_first=True)\n",
    "        self.decoder = torch.nn.GRU(1, hidden, batch_first=True)\n",
    "        self.out = torch.nn.Linear(hidden, 1)\n",
    "    def forward(self, x, r):\n",
    "        _, state = self.encoder(x)                 # el \"estado de la cuenca\" aprendido\n",
    "        y, _ = self.decoder(r, state)              # llevado hacia delante a través de la lluvia prevista\n",
    "        return self.out(y).squeeze(-1)\n",
    "\n",
    "torch.manual_seed(0)\n",
    "net = Seq2SeqGRU(); opt = torch.optim.Adam(net.parameters(), lr=2e-3)\n",
    "T = lambda a: torch.tensor(a)\n",
    "xt, rt, yt = T(Xtr_n), T(Rtr_n), T(Ytr2 / f_sd)\n",
    "xv, rv, yv = T(Xva_n), T(Rva_n), T(Yva2 / f_sd)\n",
    "best, best_state, bad, t0 = np.inf, None, 0, time.perf_counter()\n",
    "for ep in range(30):\n",
    "    net.train()\n",
    "    for i in torch.randperm(len(xt)).split(128):\n",
    "        opt.zero_grad(); loss = torch.nn.functional.l1_loss(net(xt[i], rt[i]), yt[i]); loss.backward(); opt.step()\n",
    "    net.eval()\n",
    "    with torch.no_grad():\n",
    "        v = torch.nn.functional.l1_loss(net(xv, rv), yv).item()\n",
    "    if v < best:\n",
    "        best, best_state, bad = v, {k: x.clone() for k, x in net.state_dict().items()}, 0\n",
    "    else:\n",
    "        bad += 1\n",
    "        if bad >= 6:\n",
    "            break\n",
    "net.load_state_dict(best_state); net.eval()\n",
    "with torch.no_grad():\n",
    "    p = net(T(Xte_n), T(Rte_n)).numpy() * f_sd\n",
    "score2(\"GRU codificador-decodificador (PyTorch)\", p, time.perf_counter() - t0); print(f\"   {ep + 1} épocas\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1fe74513",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T11:17:52.965069Z",
     "iopub.status.busy": "2026-10-18T11:17:52.964319Z",
     "iopub.status.idle": "2026-10-18T11:30:40.968922Z",
     "shell.execute_reply": "2026-10-18T11:30:40.965959Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LSTM codificador-decodificador (Keras) MAE 0.0379  RMSE 0.0915  MAE 5% caudales más altos 0.2097  (768 s)\n",
      "   23 épocas\n"
     ]
    }
   ],
   "source": [
    "tf.keras.utils.set_random_seed(0)\n",
    "enc_in = tf.keras.Input((L2, 2)); dec_in = tf.keras.Input((H2, 1))\n",
    "_, h, c = tf.keras.layers.LSTM(64, return_state=True)(enc_in)\n",
    "dec = tf.keras.layers.LSTM(64, return_sequences=True)(dec_in, initial_state=[h, c])\n",
    "lstm2 = tf.keras.Model([enc_in, dec_in], tf.keras.layers.Dense(1)(dec))\n",
    "lstm2.compile(optimizer=tf.keras.optimizers.Adam(2e-3), loss=\"mae\")\n",
    "t0 = time.perf_counter()\n",
    "h2 = lstm2.fit([Xtr_n, Rtr_n], (Ytr2 / f_sd)[..., None], validation_data=([Xva_n, Rva_n], (Yva2 / f_sd)[..., None]),\n",
    "               epochs=30, batch_size=128, verbose=0,\n",
    "               callbacks=[tf.keras.callbacks.EarlyStopping(patience=6, restore_best_weights=True)])\n",
    "score2(\"LSTM codificador-decodificador (Keras)\", lstm2.predict([Xte_n, Rte_n], verbose=0)[..., 0] * f_sd, time.perf_counter() - t0)\n",
    "print(f\"   {len(h2.history['loss'])} épocas\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc90765a",
   "metadata": {},
   "source": [
    "### 3.4 Resultados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f193cbab",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-18T11:30:40.977048Z",
     "iopub.status.busy": "2026-10-18T11:30:40.976384Z",
     "iopub.status.idle": "2026-10-18T11:30:42.252060Z",
     "shell.execute_reply": "2026-10-18T11:30:42.250164Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MAE</th>\n",
       "      <th>RMSE</th>\n",
       "      <th>MAE caudales altos</th>\n",
       "      <th>seconds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GRU codificador-decodificador (PyTorch)</th>\n",
       "      <td>0.0342</td>\n",
       "      <td>0.0816</td>\n",
       "      <td>0.1799</td>\n",
       "      <td>1821.2151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LSTM codificador-decodificador (Keras)</th>\n",
       "      <td>0.0379</td>\n",
       "      <td>0.0915</td>\n",
       "      <td>0.2097</td>\n",
       "      <td>767.5537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XGBoost (variables construidas)</th>\n",
       "      <td>0.0561</td>\n",
       "      <td>0.1228</td>\n",
       "      <td>0.2991</td>\n",
       "      <td>774.8937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Persistencia (último caudal)</th>\n",
       "      <td>0.1186</td>\n",
       "      <td>0.2649</td>\n",
       "      <td>0.6219</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            MAE    RMSE  MAE caudales altos  \\\n",
       "GRU codificador-decodificador (PyTorch)  0.0342  0.0816              0.1799   \n",
       "LSTM codificador-decodificador (Keras)   0.0379  0.0915              0.2097   \n",
       "XGBoost (variables construidas)          0.0561  0.1228              0.2991   \n",
       "Persistencia (último caudal)             0.1186  0.2649              0.6219   \n",
       "\n",
       "                                           seconds  \n",
       "GRU codificador-decodificador (PyTorch)  1821.2151  \n",
       "LSTM codificador-decodificador (Keras)    767.5537  \n",
       "XGBoost (variables construidas)           774.8937  \n",
       "Persistencia (último caudal)                0.0000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x380 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "table_b = pd.DataFrame(results2).T.sort_values(\"MAE\").round(4)\n",
    "display(table_b)\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(13, 3.8))\n",
    "for name in preds2:\n",
    "    ax[0].plot(range(1, H2 + 1), np.mean(np.abs(preds2[name] - Yte2), 0), label=name)\n",
    "ax[0].set_xlabel(\"horas vista\"); ax[0].set_ylabel(\"MAE\"); ax[0].set_title(\"error por horizonte\"); ax[0].legend(fontsize=7)\n",
    "i = int(np.argmax(Rte2.sum(1)))                                   # la ventana de previsión con más lluvia\n",
    "ax[1].bar(range(H2), Rte2[i] / Rte2[i].max() * Yte2[i].max() * 0.4, color=\"#bae6fd\", label=\"lluvia prevista (escalada)\")\n",
    "ax[1].plot(Yte2[i], color=\"black\", lw=2, label=\"caudal real\")\n",
    "for name in [\"XGBoost (variables construidas)\", \"GRU codificador-decodificador (PyTorch)\"]:\n",
    "    ax[1].plot(preds2[name][i], label=name)\n",
    "ax[1].set_title(\"la ventana de previsión más lluviosa del año de prueba\"); ax[1].legend(fontsize=7)\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6eb44360",
   "metadata": {},
   "source": [
    "### Por qué ganan aquí las redes recurrentes\n",
    "**La GRU reduce el error en torno a un 40% respecto a XGBoost**, y en un margen parecido en el 5% de caudales más\n",
    "altos, las crecidas para las que existe un servicio de alerta. La LSTM le sigue de cerca. El gráfico de error por\n",
    "horizonte muestra dónde: la diferencia se abre desde la primera hora y crece hasta unas 12 horas vista, a medida\n",
    "que la previsión depende cada vez más de cómo convierte la cuenca la lluvia futura en caudal, y después se\n",
    "mantiene más o menos constante.\n",
    "\n",
    "Cada tormenta es distinta, y la ventana más lluviosa del año (gráfico de la derecha) es un caso difícil para\n",
    "ambos: XGBoost sube el caudal antes de que haya caído la lluvia, mientras que la GRU acierta aproximadamente el\n",
    "momento de la subida pero sobrestima el pico. Lo que decide entre modelos son las medias sobre las 8.700\n",
    "previsiones de arriba; las tormentas individuales son donde se busca qué mejorar.\n",
    "\n",
    "Lo que convierte esto en un problema de redes neuronales:\n",
    "1. **Un estado oculto.** El caudal depende de lo húmedo que está el suelo, que nunca se mide y resume semanas de\n",
    "   historia. El estado oculto final del codificador es una estimación aprendida de esa condición; un árbol solo ve\n",
    "   las columnas fijas que se le dan.\n",
    "2. **Una respuesta suave y repetida.** Cada hora de lluvia prevista añade un pulso de caudal retardado y propio de\n",
    "   la cuenca. El decodificador aplica la misma regla de actualización hora tras hora (los mismos pesos en cada\n",
    "   paso), así que aprende la respuesta una sola vez; un árbol tiene que aprender divisiones distintas para cada\n",
    "   combinación de hora de lluvia y horizonte.\n",
    "3. **Un comportamiento que hay que inferir.** Al modelo no se le dice qué cuenca ve. El estado recurrente lleva a la\n",
    "   previsión lo que infirió del historial (rápida o lenta, con retardo o inmediata).\n",
    "4. **Suficientes datos compartidos.** 24 cuencas entrenan un solo modelo, así que los patrones aprendidos en una\n",
    "   ayudan a las demás.\n",
    "\n",
    "La comparación es justa con XGBoost, pero no exhaustiva: un hidrólogo construiría una variable de humedad del\n",
    "suelo (un índice de precipitación antecedente) y reduciría la diferencia; el ejercicio 2 mide cuánto. La red\n",
    "aprende esa variable por sí sola, y esa es la ventaja real cuando no se sabe de antemano qué variables hacen falta."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02a25152",
   "metadata": {},
   "source": [
    "## 4. Una guía de decisión\n",
    "\n",
    "| Tu problema se parece a... | Empieza con | Después prueba |\n",
    "|---|---|---|\n",
    "| una o pocas series, estacionalidad estable, pocos años de datos | ingenuo estacional, ETS/SARIMA | Prophet si necesitas componentes explicables y festivos |\n",
    "| una tabla de factores potentes conocidos al prever (calendario, tiempo, precios, promociones) | **gradient boosting** (XGBoost, LightGBM) con retardos | una mezcla de boosting y un modelo lineal |\n",
    "| muchas series relacionadas (miles de productos, sensores, cuencas) | un modelo global de gradient boosting | una RNN o un Transformer globales |\n",
    "| estado oculto, memoria larga, respuestas suaves a entradas repartidas en el tiempo (hidrología, fisiología, almacenamiento de energía) | **redes recurrentes** (GRU/LSTM codificador-decodificador) | Transformers, o variables con base física para el boosting |\n",
    "| historiales muy largos, muchos datos, alta frecuencia | Transformers (PatchTST, TFT) | modelos fundacionales (Chronos, TimesFM) como referencia sin entrenamiento |\n",
    "| pocos datos y poco tiempo | ingenuo estacional, después un modelo fundacional sin entrenamiento | |\n",
    "\n",
    "Elijas lo que elijas: divide por tiempo, compara con una referencia ingenua, mira los errores por horizonte y en los\n",
    "sucesos que importan (picos, horas punta) y prefiere el modelo más sencillo que sea claramente mejor.\n",
    "\n",
    "## Ejercicios\n",
    "1. En el ejemplo 1, quita las columnas del tiempo meteorológico de XGBoost. ¿Cuánto empeora y cierra una red neuronal la diferencia?\n",
    "2. En el ejemplo 2, añade un *índice de precipitación antecedente* (una suma de la lluvia pasada con pesos que decaen exponencialmente, el indicador que usan los hidrólogos para la humedad del suelo) a la tabla de XGBoost. ¿Cuánta diferencia con la GRU cierra una sola variable bien elegida?\n",
    "3. Entrena la GRU del ejemplo 2 con solo 6 cuencas y pruébala con las otras 18. ¿Sigue superando a XGBoost en cuencas que nunca ha visto?\n",
    "4. Usa `pip install chronos-forecasting` para añadir un modelo fundacional sin entrenamiento al ejemplo 1."
   ]
  }
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