{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "62ec45df",
   "metadata": {},
   "source": [
    "# From one-step prediction to multi-step forecasting with stacked LSTMs\n",
    "**A progressive PyTorch practical — Mayank S. Jha's deep learning course**\n",
    "\n",
    "Execute the cells in order. Each code cell has one main purpose; inspect its output before continuing. Prerequisites: Python arrays, neural-network training and basic PyTorch.\n",
    "\n",
    "**Learning objectives:** construct sliding windows; prevent temporal leakage; understand a three-layer LSTM; train and validate a regressor; distinguish rolling one-step prediction, recursive forecasting and direct multi-output forecasting; evaluate error at each lead time.\n",
    "\n",
    "We use **Jena Climate 2009–2016**, recorded at the Max Planck Institute for Biogeochemistry, Germany. The target is hourly temperature in °C. The default `classroom` experiment uses three complete years and modest training settings. `full` uses all eight years and more epochs. Neither configuration guarantees that a deep model beats a simple baseline.\n",
    "\n",
    "Sources: [dataset and description](https://keras.io/examples/timeseries/timeseries_weather_forecasting/), [public ZIP](https://storage.googleapis.com/tensorflow/tf-keras-datasets/jena_climate_2009_2016.csv.zip), [PyTorch LSTM documentation](https://docs.pytorch.org/docs/stable/generated/torch.nn.LSTM.html).\n",
    "\n",
    "**Run:** install the packages below if needed, restart the kernel after installation, then choose **Run All**. Internet access is required only for package installation and the first dataset download. Alternatively put the downloaded ZIP in the `data/` directory next to this notebook. Plots and tables are stored inside the executed notebook; no account or API key is required.\n",
    "\n",
    "**Execution check (6 October 2026):** all 30 code cells were executed in order in a fresh IPython process on CPU (Python 3.12, PyTorch 2.14.1+cpu), including the multivariate extension, using the displayed classroom configuration (20 maximum epochs). Total execution time was approximately 3 minutes 14 seconds on the test machine; your hardware may differ. Outputs and figures below are from this run. Local socket restrictions prevented a separate Jupyter kernel launch, so the Jupyter front end itself was not tested here. The longer `full` configuration and assignment modifications have not been executed.\n",
    "\n",
    "The public dataset contains duplicate timestamps and missing hours; the preparation cells report and handle them explicitly. In this run, simple baselines remain strong and win several horizon comparisons. Treat the results as an experiment to analyse, not a promise that depth improves forecasting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "23eeabc0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Run this line only if your environment lacks these packages, then restart the kernel.\n",
    "# %pip install torch numpy pandas matplotlib scikit-learn"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2bb7ff7",
   "metadata": {},
   "source": [
    "## 1. Imports and experiment settings\n",
    "Keep the configuration in one cell. We use independent windows: hidden states reset for each batch, so shuffled training windows are permissible. Time order *inside* every window is preserved."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5d5d16ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PyTorch: 2.3.0 | device: cpu\n",
      "Exact numerical results may differ across devices and package versions.\n"
     ]
    }
   ],
   "source": [
    "from pathlib import Path\n",
    "import copy, random, time, urllib.request, zipfile, hashlib\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import torch\n",
    "from torch import nn\n",
    "from torch.utils.data import Dataset, DataLoader\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from IPython.display import display\n",
    "\n",
    "SEED = 42\n",
    "random.seed(SEED)\n",
    "np.random.seed(SEED)\n",
    "torch.manual_seed(SEED)\n",
    "if torch.cuda.is_available():\n",
    "    torch.cuda.manual_seed_all(SEED)\n",
    "torch.set_num_threads(min(4, torch.get_num_threads()))\n",
    "DEVICE = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "plt.rcParams.update({\"figure.figsize\": (11, 3.5), \"axes.grid\": True})\n",
    "print(\"PyTorch:\", torch.__version__, \"| device:\", DEVICE)\n",
    "print(\"Exact numerical results may differ across devices and package versions.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "768af4d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'mode': 'classroom', 'lookback': 168, 'horizons': (1, 6, 24, 72), 'epochs': 20}\n"
     ]
    }
   ],
   "source": [
    "MODE = \"classroom\"  # Change to \"full\" for a longer experiment.\n",
    "assert MODE in {\"classroom\", \"full\"}\n",
    "LOOKBACK = 168              # Observed hours supplied at each forecast origin.\n",
    "HORIZONS = (1, 6, 24, 72)\n",
    "MAX_HORIZON = max(HORIZONS)\n",
    "BATCH_SIZE = 128\n",
    "EPOCHS = 20 if MODE == \"classroom\" else 40\n",
    "PATIENCE = 4 if MODE == \"classroom\" else 6\n",
    "TRAIN_STRIDE = 6 if MODE == \"classroom\" else 3\n",
    "EVAL_STRIDE = 6             # Forecast origins spaced six hours apart.\n",
    "LEARNING_RATE = 1e-3\n",
    "RUN_MULTIVARIATE = True     # Optional extension near the end.\n",
    "print(dict(mode=MODE, lookback=LOOKBACK, horizons=HORIZONS, epochs=EPOCHS))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3361ee52",
   "metadata": {},
   "source": [
    "## 2. Download, inspect and aggregate the observations\n",
    "The file is cached locally. A failed download is reported rather than silently replaced by synthetic data. We read just the CSV member from the ZIP.\n",
    "\n",
    "Hourly means are **right-labelled and right-closed**: the value at 13:00 uses measurements in (12:00, 13:00]. Thus it is available at 13:00. This avoids accidentally assigning later measurements to an earlier forecast origin.\n",
    "\n",
    "Missing temperatures may be causally filled for inputs, but the original missing-label mask is retained: we never score a forecast against an imputed target."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "180bd046",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloaded ZIP SHA256: 63d757501e92284a7de7cdbef0337f03b24e13ead7ac2b5b8c86a18d8e38ba5b\n",
      "Raw shape: (420551, 15)\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>Date Time</th>\n",
       "      <th>p (mbar)</th>\n",
       "      <th>T (degC)</th>\n",
       "      <th>Tpot (K)</th>\n",
       "      <th>Tdew (degC)</th>\n",
       "      <th>rh (%)</th>\n",
       "      <th>VPmax (mbar)</th>\n",
       "      <th>VPact (mbar)</th>\n",
       "      <th>VPdef (mbar)</th>\n",
       "      <th>sh (g/kg)</th>\n",
       "      <th>H2OC (mmol/mol)</th>\n",
       "      <th>rho (g/m**3)</th>\n",
       "      <th>wv (m/s)</th>\n",
       "      <th>max. wv (m/s)</th>\n",
       "      <th>wd (deg)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01.01.2009 00:10:00</td>\n",
       "      <td>996.52</td>\n",
       "      <td>-8.02</td>\n",
       "      <td>265.40</td>\n",
       "      <td>-8.90</td>\n",
       "      <td>93.3</td>\n",
       "      <td>3.33</td>\n",
       "      <td>3.11</td>\n",
       "      <td>0.22</td>\n",
       "      <td>1.94</td>\n",
       "      <td>3.12</td>\n",
       "      <td>1307.75</td>\n",
       "      <td>1.03</td>\n",
       "      <td>1.75</td>\n",
       "      <td>152.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01.01.2009 00:20:00</td>\n",
       "      <td>996.57</td>\n",
       "      <td>-8.41</td>\n",
       "      <td>265.01</td>\n",
       "      <td>-9.28</td>\n",
       "      <td>93.4</td>\n",
       "      <td>3.23</td>\n",
       "      <td>3.02</td>\n",
       "      <td>0.21</td>\n",
       "      <td>1.89</td>\n",
       "      <td>3.03</td>\n",
       "      <td>1309.80</td>\n",
       "      <td>0.72</td>\n",
       "      <td>1.50</td>\n",
       "      <td>136.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>01.01.2009 00:30:00</td>\n",
       "      <td>996.53</td>\n",
       "      <td>-8.51</td>\n",
       "      <td>264.91</td>\n",
       "      <td>-9.31</td>\n",
       "      <td>93.9</td>\n",
       "      <td>3.21</td>\n",
       "      <td>3.01</td>\n",
       "      <td>0.20</td>\n",
       "      <td>1.88</td>\n",
       "      <td>3.02</td>\n",
       "      <td>1310.24</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.63</td>\n",
       "      <td>171.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01.01.2009 00:40:00</td>\n",
       "      <td>996.51</td>\n",
       "      <td>-8.31</td>\n",
       "      <td>265.12</td>\n",
       "      <td>-9.07</td>\n",
       "      <td>94.2</td>\n",
       "      <td>3.26</td>\n",
       "      <td>3.07</td>\n",
       "      <td>0.19</td>\n",
       "      <td>1.92</td>\n",
       "      <td>3.08</td>\n",
       "      <td>1309.19</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.50</td>\n",
       "      <td>198.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>01.01.2009 00:50:00</td>\n",
       "      <td>996.51</td>\n",
       "      <td>-8.27</td>\n",
       "      <td>265.15</td>\n",
       "      <td>-9.04</td>\n",
       "      <td>94.1</td>\n",
       "      <td>3.27</td>\n",
       "      <td>3.08</td>\n",
       "      <td>0.19</td>\n",
       "      <td>1.92</td>\n",
       "      <td>3.09</td>\n",
       "      <td>1309.00</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.63</td>\n",
       "      <td>214.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date Time  p (mbar)  T (degC)  Tpot (K)  Tdew (degC)  rh (%)  \\\n",
       "0  01.01.2009 00:10:00    996.52     -8.02    265.40        -8.90    93.3   \n",
       "1  01.01.2009 00:20:00    996.57     -8.41    265.01        -9.28    93.4   \n",
       "2  01.01.2009 00:30:00    996.53     -8.51    264.91        -9.31    93.9   \n",
       "3  01.01.2009 00:40:00    996.51     -8.31    265.12        -9.07    94.2   \n",
       "4  01.01.2009 00:50:00    996.51     -8.27    265.15        -9.04    94.1   \n",
       "\n",
       "   VPmax (mbar)  VPact (mbar)  VPdef (mbar)  sh (g/kg)  H2OC (mmol/mol)  \\\n",
       "0          3.33          3.11          0.22       1.94             3.12   \n",
       "1          3.23          3.02          0.21       1.89             3.03   \n",
       "2          3.21          3.01          0.20       1.88             3.02   \n",
       "3          3.26          3.07          0.19       1.92             3.08   \n",
       "4          3.27          3.08          0.19       1.92             3.09   \n",
       "\n",
       "   rho (g/m**3)  wv (m/s)  max. wv (m/s)  wd (deg)  \n",
       "0       1307.75      1.03           1.75     152.3  \n",
       "1       1309.80      0.72           1.50     136.1  \n",
       "2       1310.24      0.19           0.63     171.6  \n",
       "3       1309.19      0.34           0.50     198.0  \n",
       "4       1309.00      0.32           0.63     214.3  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "DATA_DIR = Path(\"data\")\n",
    "DATA_DIR.mkdir(exist_ok=True)\n",
    "ZIP_PATH = DATA_DIR / \"jena_climate_2009_2016.csv.zip\"\n",
    "URL = \"https://storage.googleapis.com/tensorflow/tf-keras-datasets/jena_climate_2009_2016.csv.zip\"\n",
    "if not ZIP_PATH.exists():\n",
    "    temporary_path = ZIP_PATH.with_suffix(\".download\")\n",
    "    try:\n",
    "        with urllib.request.urlopen(URL, timeout=90) as response:\n",
    "            temporary_path.write_bytes(response.read())\n",
    "        temporary_path.replace(ZIP_PATH)\n",
    "    except Exception as error:\n",
    "        temporary_path.unlink(missing_ok=True)\n",
    "        raise RuntimeError(f\"Download failed. Download {URL} manually into {ZIP_PATH}.\") from error\n",
    "with zipfile.ZipFile(ZIP_PATH) as archive:\n",
    "    csv_name = next(name for name in archive.namelist() if name.endswith(\".csv\"))\n",
    "    with archive.open(csv_name) as stream:\n",
    "        raw = pd.read_csv(stream)\n",
    "print(\"Downloaded ZIP SHA256:\", hashlib.sha256(ZIP_PATH.read_bytes()).hexdigest())\n",
    "print(\"Raw shape:\", raw.shape)\n",
    "display(raw.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0863a919",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Duplicate timestamps: 327\n",
      "Missing hourly entries before filling: {'T (degC)': 88, 'p (mbar)': 88, 'rh (%)': 88}\n",
      "Hourly data: (26280, 3) 2013-01-01 00:00:00 to 2015-12-31 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>T (degC)</th>\n",
       "      <th>p (mbar)</th>\n",
       "      <th>rh (%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>26268.000000</td>\n",
       "      <td>26268.000000</td>\n",
       "      <td>26268.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>10.101323</td>\n",
       "      <td>989.569111</td>\n",
       "      <td>76.299519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.939309</td>\n",
       "      <td>7.959751</td>\n",
       "      <td>16.296083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-13.223333</td>\n",
       "      <td>945.663333</td>\n",
       "      <td>24.453333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.008333</td>\n",
       "      <td>984.626250</td>\n",
       "      <td>65.521250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>10.090000</td>\n",
       "      <td>989.782500</td>\n",
       "      <td>79.391667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>15.581667</td>\n",
       "      <td>994.930417</td>\n",
       "      <td>89.433333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>36.943333</td>\n",
       "      <td>1013.828333</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           T (degC)      p (mbar)        rh (%)\n",
       "count  26268.000000  26268.000000  26268.000000\n",
       "mean      10.101323    989.569111     76.299519\n",
       "std        7.939309      7.959751     16.296083\n",
       "min      -13.223333    945.663333     24.453333\n",
       "25%        4.008333    984.626250     65.521250\n",
       "50%       10.090000    989.782500     79.391667\n",
       "75%       15.581667    994.930417     89.433333\n",
       "max       36.943333   1013.828333    100.000000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "FEATURES = [\"T (degC)\", \"p (mbar)\", \"rh (%)\"]\n",
    "raw[\"Date Time\"] = pd.to_datetime(raw[\"Date Time\"], format=\"%d.%m.%Y %H:%M:%S\")\n",
    "raw = raw.sort_values(\"Date Time\").set_index(\"Date Time\")\n",
    "print(\"Duplicate timestamps:\", raw.index.duplicated().sum())\n",
    "raw = raw[~raw.index.duplicated(keep=\"first\")]\n",
    "weather = raw[FEATURES].apply(pd.to_numeric, errors=\"coerce\")\n",
    "# Treat impossible values as missing; these bounds do not use future data.\n",
    "weather.loc[~weather[\"T (degC)\"].between(-80, 60), \"T (degC)\"] = np.nan\n",
    "weather.loc[~weather[\"p (mbar)\"].between(700, 1100), \"p (mbar)\"] = np.nan\n",
    "weather.loc[~weather[\"rh (%)\"].between(0, 100), \"rh (%)\"] = np.nan\n",
    "hourly = weather.resample(\"1h\", closed=\"right\", label=\"right\").mean()\n",
    "print(\"Missing hourly entries before filling:\", hourly.isna().sum().to_dict())\n",
    "# Causal filling: use preceding values only, for at most three hours.\n",
    "# Longer gaps remain NaN and any affected windows are excluded later.\n",
    "observed_temperature = hourly[\"T (degC)\"].copy()\n",
    "hourly = hourly.ffill(limit=3)\n",
    "if MODE == \"classroom\":\n",
    "    hourly = hourly.loc[\"2013-01-01\":\"2015-12-31 23:00:00\"]\n",
    "else:\n",
    "    hourly = hourly.loc[\"2009-01-01\":\"2016-12-31 23:00:00\"]\n",
    "assert hourly.index.is_monotonic_increasing and hourly.index.is_unique\n",
    "assert (hourly.index.to_series().diff().dropna() == pd.Timedelta(hours=1)).all()\n",
    "print(\"Hourly data:\", hourly.shape, hourly.index.min(), \"to\", hourly.index.max())\n",
    "display(hourly.describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a56a22ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 1, figsize=(12, 6))\n",
    "hourly[\"T (degC)\"].plot(ax=axes[0], title=\"Hourly temperature: full selected period\")\n",
    "hourly[\"T (degC)\"].iloc[:14*24].plot(ax=axes[1], title=\"Zoom: first two weeks\")\n",
    "for ax in axes:\n",
    "    ax.set_ylabel(\"Temperature (°C)\")\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "614825cb",
   "metadata": {},
   "source": [
    "## 3. What is one sample?\n",
    "At origin $t$, all observations up to and including $t$ are known:\n",
    "$$X_t=[y_{t-L+1},\\ldots,y_t],\\qquad Y_t=[y_{t+1},\\ldots,y_{t+H}].$$\n",
    "`L` is the **lookback**, `H` the **forecast horizon**, and `F` the number of input features. Batch shapes will be `(B, L, F)` and `(B, H)`.\n",
    "\n",
    "Predicting only $y_{t+H}$ is a different target from predicting the entire next $H$ values. This practical learns the entire sequence.\n",
    "\n",
    "In Python below, `start` denotes the **first target index**, so the last observed index is `start - 1`. Slice ends are excluded."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8e48cdfa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input: [1. 2. 3. 4.] | one step: [5.] | next three: [5. 6. 7.] | only third step: 7.0\n",
      "Input: [2. 3. 4. 5.] | one step: [6.] | next three: [6. 7. 8.] | only third step: 8.0\n",
      "Input: [3. 4. 5. 6.] | one step: [7.] | next three: [7. 8. 9.] | only third step: 9.0\n"
     ]
    }
   ],
   "source": [
    "toy = np.arange(1, 13, dtype=np.float32)\n",
    "L_toy, H_toy = 4, 3\n",
    "for start in range(L_toy, L_toy + 3):\n",
    "    x = toy[start-L_toy:start]\n",
    "    print(\"Input:\", x, \"| one step:\", toy[start:start+1],\n",
    "          \"| next three:\", toy[start:start+H_toy],\n",
    "          \"| only third step:\", toy[start+H_toy-1])\n",
    "assert np.array_equal(toy[4:7], [5, 6, 7])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9febe1eb",
   "metadata": {},
   "source": [
    "## 4. Split chronologically, then fit the scaler\n",
    "Use the first calendar year for training, the next for validation and the last for testing in classroom mode. Full mode uses 2009–2013 / 2014 / 2015–2016.\n",
    "\n",
    "Validation selects the checkpoint; test data are used only after model selection. Never fit a scaler on all years. No target window may cross a split boundary. Inputs for a validation/test forecast may include earlier observations: these were already available at that forecast origin."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f0d68703",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train 2013-01-01 00:00:00 to 2013-12-31 23:00:00 | hours: 8760\n",
      "validation 2014-01-01 00:00:00 to 2014-12-31 23:00:00 | hours: 8760\n",
      "test 2015-01-01 00:00:00 to 2015-12-31 23:00:00 | hours: 8760\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x350 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "VAL_DATE = pd.Timestamp(\"2014-01-01\")\n",
    "TEST_DATE = pd.Timestamp(\"2015-01-01\")\n",
    "n = len(hourly)\n",
    "train_end = int(hourly.index.searchsorted(VAL_DATE))\n",
    "val_end = int(hourly.index.searchsorted(TEST_DATE))\n",
    "SPLITS = {\"train\": (0, train_end), \"validation\": (train_end, val_end), \"test\": (val_end, n)}\n",
    "assert LOOKBACK + MAX_HORIZON < train_end < val_end < n\n",
    "for name, (lo, hi) in SPLITS.items():\n",
    "    print(name, hourly.index[lo], \"to\", hourly.index[hi-1], \"| hours:\", hi-lo)\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(hourly.index, hourly[\"T (degC)\"], lw=0.5, color=\"black\")\n",
    "for (name, (lo, hi)), color in zip(SPLITS.items(), [\"#b8e0c4\", \"#ffe09b\", \"#b6d4fa\"]):\n",
    "    ax.axvspan(hourly.index[lo], hourly.index[hi-1], alpha=0.55, color=color, label=name)\n",
    "ax.set(ylabel=\"Temperature (°C)\", title=\"Chronological split by target timestamps\")\n",
    "ax.legend(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4825ea28",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training mean / standard deviation: 9.094704985361414 8.612176442262738\n"
     ]
    }
   ],
   "source": [
    "temperature = hourly[[\"T (degC)\"]].to_numpy(dtype=np.float32)\n",
    "scaler = StandardScaler()\n",
    "scaler.fit(temperature[:train_end])\n",
    "z = scaler.transform(temperature).astype(np.float32)\n",
    "target_temperature = observed_temperature.reindex(hourly.index).to_numpy(dtype=np.float32)\n",
    "# Preserve missing labels: imputed values may be inputs, never evaluation truth.\n",
    "target_z = scaler.transform(target_temperature[:, None])[:, 0].astype(np.float32)\n",
    "TEMP_MEAN = float(scaler.mean_[0])\n",
    "TEMP_STD = float(scaler.scale_[0])\n",
    "def to_celsius(values):\n",
    "    \"\"\"Undo the target scaling for arrays of any shape.\"\"\"\n",
    "    return np.asarray(values) * TEMP_STD + TEMP_MEAN\n",
    "print(\"Training mean / standard deviation:\", TEMP_MEAN, TEMP_STD)\n",
    "assert np.allclose(to_celsius(z[:10, 0]), temperature[:10, 0], atol=1e-5, equal_nan=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e0135f2",
   "metadata": {},
   "source": [
    "### Choose common forecast origins\n",
    "We use origins that support the maximum horizon, even for the one-step model. Thus all models see the same training origins and all evaluation comparisons use identical origins. A few usable short-horizon samples are deliberately sacrificed for comparability.\n",
    "\n",
    "Training windows may overlap. The split is defined by target time, not by randomly assigning windows. We retain the regular hourly index and reject windows containing unresolved gaps rather than compressing time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a381ed5c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train windows: 1421\n",
      "validation windows: 1407\n",
      "test windows: 1449\n"
     ]
    }
   ],
   "source": [
    "def valid_starts(features, targets, lo, hi, lookback, horizon, stride):\n",
    "    \"\"\"First-target indices whose inputs are finite and entire targets belong to [lo, hi).\"\"\"\n",
    "    candidates = np.arange(max(lo, lookback), hi-horizon+1, stride, dtype=int)\n",
    "    bad_x = (~np.isfinite(features).all(axis=1)).astype(int)\n",
    "    bad_y = (~np.isfinite(targets)).astype(int)\n",
    "    cx = np.r_[0, np.cumsum(bad_x)]\n",
    "    cy = np.r_[0, np.cumsum(bad_y)]\n",
    "    good = ((cx[candidates]-cx[candidates-lookback]) == 0)\n",
    "    good &= ((cy[candidates+horizon]-cy[candidates]) == 0)\n",
    "    return candidates[good]\n",
    "\n",
    "starts = {}\n",
    "for name, (lo, hi) in SPLITS.items():\n",
    "    stride = TRAIN_STRIDE if name == \"train\" else EVAL_STRIDE\n",
    "    starts[name] = valid_starts(z, target_z, lo, hi, LOOKBACK, MAX_HORIZON, stride)\n",
    "    assert len(starts[name]) > 0\n",
    "    assert starts[name].min() >= lo\n",
    "    assert starts[name].max() + MAX_HORIZON <= hi\n",
    "    print(name, \"windows:\", len(starts[name]))\n",
    "assert starts[\"train\"].max() + MAX_HORIZON <= starts[\"validation\"].min()\n",
    "assert starts[\"validation\"].max() + MAX_HORIZON <= starts[\"test\"].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "048abb08",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "One-step batch: torch.Size([128, 168, 1]) torch.Size([128, 1])\n"
     ]
    }
   ],
   "source": [
    "class ForecastDataset(Dataset):\n",
    "    def __init__(self, features, targets, first_targets, lookback, horizon):\n",
    "        self.features = torch.as_tensor(features, dtype=torch.float32)\n",
    "        self.targets = torch.as_tensor(targets, dtype=torch.float32)\n",
    "        self.starts = np.asarray(first_targets)\n",
    "        self.lookback, self.horizon = lookback, horizon\n",
    "    def __len__(self):\n",
    "        return len(self.starts)\n",
    "    def __getitem__(self, index):\n",
    "        s = int(self.starts[index])\n",
    "        x = self.features[s-self.lookback:s]\n",
    "        y = self.targets[s:s+self.horizon]\n",
    "        return x, y\n",
    "\n",
    "def make_loaders(horizon, features=z, origin_sets=starts):\n",
    "    loaders = {}\n",
    "    for name in SPLITS:\n",
    "        dataset = ForecastDataset(features, target_z, origin_sets[name], LOOKBACK, horizon)\n",
    "        # A new seeded generator keeps experiments reproducible.\n",
    "        generator = torch.Generator().manual_seed(SEED)\n",
    "        loaders[name] = DataLoader(dataset, batch_size=BATCH_SIZE,\n",
    "                                  shuffle=(name == \"train\"), num_workers=0,\n",
    "                                  generator=generator)\n",
    "    return loaders\n",
    "\n",
    "loaders_one = make_loaders(1)\n",
    "xb, yb = next(iter(loaders_one[\"train\"]))\n",
    "print(\"One-step batch:\", xb.shape, yb.shape)\n",
    "assert xb.shape[1:] == (LOOKBACK, 1) and yb.shape[1:] == (1,)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c4ea1c07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x350 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last input: 2013-01-10 11:00:00 | first target: 2013-01-10 12:00:00\n"
     ]
    }
   ],
   "source": [
    "s = int(starts[\"train\"][10])\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(hourly.index[s-LOOKBACK:s], temperature[s-LOOKBACK:s, 0], label=\"Observed input\")\n",
    "ax.plot(hourly.index[s:s+MAX_HORIZON], temperature[s:s+MAX_HORIZON, 0],\n",
    "        color=\"tab:orange\", label=\"Future target (training label)\")\n",
    "ax.axvline(hourly.index[s-1], color=\"black\", ls=\"--\", label=\"Forecast origin\")\n",
    "ax.set(ylabel=\"Temperature (°C)\", title=\"One supervised sample: history and future labels\")\n",
    "ax.legend(); plt.show()\n",
    "print(\"Last input:\", hourly.index[s-1], \"| first target:\", hourly.index[s])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c4ea8fd",
   "metadata": {},
   "source": [
    "## 5. Build a deep LSTM explicitly\n",
    "Three separate `nn.LSTM` modules make the stack visible. Each receives the **complete sequence output** of the previous layer. Only after the third layer do we select the representation at the last observed time.\n",
    "\n",
    "The number of layers is depth; the lookback is sequence length. These are different concepts. The hidden state `h` is an output representation; the cell state `c` is the internal memory. Here we use zero initial states (PyTorch's default) for each independent window. We never carry a hidden state from one shuffled window to the next.\n",
    "\n",
    "The linear head has `H` outputs. There is no output activation because standardised temperature can be positive or negative. Dropout operates between layers and is disabled by `model.eval()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "70dc8d0a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "StackedLSTM(\n",
      "  (lstm1): LSTM(1, 8, batch_first=True)\n",
      "  (lstm2): LSTM(8, 8, batch_first=True)\n",
      "  (lstm3): LSTM(8, 8, batch_first=True)\n",
      "  (dropout): Dropout(p=0.1, inplace=False)\n",
      "  (head): Linear(in_features=8, out_features=6, bias=True)\n",
      ")\n",
      "Trainable parameters: 1558\n"
     ]
    }
   ],
   "source": [
    "class StackedLSTM(nn.Module):\n",
    "    def __init__(self, input_size=1, horizon=1, dropout=0.1):\n",
    "        super().__init__()\n",
    "        self.lstm1 = nn.LSTM(input_size=input_size, hidden_size=8, batch_first=True)\n",
    "        self.lstm2 = nn.LSTM(input_size=8, hidden_size=8, batch_first=True)\n",
    "        self.lstm3 = nn.LSTM(input_size=8, hidden_size=8, batch_first=True)\n",
    "        self.dropout = nn.Dropout(dropout)\n",
    "        self.head = nn.Linear(8, horizon)\n",
    "    def forward(self, x):\n",
    "        sequence1, (h1, c1) = self.lstm1(x)       # (B, L, 64)\n",
    "        sequence2, (h2, c2) = self.lstm2(self.dropout(sequence1))\n",
    "        sequence3, (h3, c3) = self.lstm3(self.dropout(sequence2))  # (B, L, 32)\n",
    "        last_observed_representation = sequence3[:, -1, :]        # (B, 32)\n",
    "        return self.head(last_observed_representation)           # (B, H)\n",
    "\n",
    "model_demo = StackedLSTM(horizon=6)\n",
    "print(model_demo)\n",
    "print(\"Trainable parameters:\", sum(p.numel() for p in model_demo.parameters() if p.requires_grad))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "409ee81c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input: torch.Size([2, 168, 1])\n",
      "Layer 1: torch.Size([2, 168, 8]) hidden: torch.Size([1, 2, 8]) cell: torch.Size([1, 2, 8])\n",
      "Layer 2: torch.Size([2, 168, 8]) Layer 3: torch.Size([2, 168, 8]) Forecast: torch.Size([2, 6])\n",
      "Compact equal-width stack: LSTM(1, 64, num_layers=3, batch_first=True, dropout=0.1)\n"
     ]
    }
   ],
   "source": [
    "# Inspect intermediate tensors without updating the weights.\n",
    "model_demo.eval()\n",
    "with torch.no_grad():\n",
    "    a, (h, c) = model_demo.lstm1(xb[:2])\n",
    "    b, _ = model_demo.lstm2(a)\n",
    "    d, _ = model_demo.lstm3(b)\n",
    "    out = model_demo(xb[:2])\n",
    "print(\"Input:\", xb[:2].shape)\n",
    "print(\"Layer 1:\", a.shape, \"hidden:\", h.shape, \"cell:\", c.shape)\n",
    "print(\"Layer 2:\", b.shape, \"Layer 3:\", d.shape, \"Forecast:\", out.shape)\n",
    "assert out.shape == (2, 6)\n",
    "# Compact alternative when ALL hidden layers have the same width:\n",
    "compact_stack = nn.LSTM(input_size=1, hidden_size=64, num_layers=3,\n",
    "                        dropout=0.1, batch_first=True)\n",
    "print(\"Compact equal-width stack:\", compact_stack)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfd7d340",
   "metadata": {},
   "source": [
    "## 6. Understand one optimisation step\n",
    "MSE averages squared errors over samples and forecast leads. Training uses standardised units; final metrics use °C. The demonstration model below is disposable: the actual experiment starts with fresh weights."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0fccec00",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "One illustrative training-batch MSE: 0.81968092918396\n"
     ]
    }
   ],
   "source": [
    "demo = StackedLSTM(horizon=1).to(DEVICE)\n",
    "optimizer_demo = torch.optim.Adam(demo.parameters(), lr=LEARNING_RATE)\n",
    "loss_function = nn.MSELoss()\n",
    "x_batch, y_batch = xb.to(DEVICE), yb.to(DEVICE)\n",
    "demo.train()\n",
    "optimizer_demo.zero_grad()                 # Remove gradients from the previous update.\n",
    "prediction = demo(x_batch)                 # Forward pass.\n",
    "assert prediction.shape == y_batch.shape  # Avoid accidental broadcasting.\n",
    "loss = loss_function(prediction, y_batch)\n",
    "loss.backward()                           # Backpropagate through layers and time.\n",
    "nn.utils.clip_grad_norm_(demo.parameters(), max_norm=1.0)\n",
    "optimizer_demo.step()                     # Change weights using the gradients.\n",
    "print(\"One illustrative training-batch MSE:\", loss.item())\n",
    "del demo, optimizer_demo"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5bcf2d9b",
   "metadata": {},
   "source": [
    "### Turn the same steps into a readable epoch loop\n",
    "Validation never updates weights. We accumulate sample-weighted losses, so a smaller final batch is handled correctly. Early stopping monitors **validation loss only** and restores a copied best checkpoint. The test loader is not passed to this function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "cc55e86b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def fit_model(model, train_loader, val_loader, epochs=EPOCHS):\n",
    "    model = model.to(DEVICE)\n",
    "    optimizer = torch.optim.Adam(model.parameters(), lr=LEARNING_RATE)\n",
    "    criterion = nn.MSELoss()\n",
    "    best_loss, stale = float(\"inf\"), 0\n",
    "    best_state, best_epoch = None, None\n",
    "    rows = []\n",
    "    start_time = time.perf_counter()\n",
    "    for epoch in range(1, epochs+1):\n",
    "        model.train()\n",
    "        total, count = 0.0, 0\n",
    "        for x, y in train_loader:\n",
    "            x, y = x.to(DEVICE), y.to(DEVICE)\n",
    "            optimizer.zero_grad()\n",
    "            forecast = model(x)\n",
    "            assert forecast.shape == y.shape\n",
    "            loss = criterion(forecast, y)\n",
    "            if not torch.isfinite(loss):\n",
    "                raise RuntimeError(\"Non-finite training loss: inspect data and learning rate.\")\n",
    "            loss.backward()\n",
    "            nn.utils.clip_grad_norm_(model.parameters(), 1.0)\n",
    "            optimizer.step()\n",
    "            total += loss.item() * len(x)\n",
    "            count += len(x)\n",
    "        train_loss = total / count\n",
    "        model.eval()\n",
    "        total, count = 0.0, 0\n",
    "        with torch.no_grad():\n",
    "            for x, y in val_loader:\n",
    "                x, y = x.to(DEVICE), y.to(DEVICE)\n",
    "                total += criterion(model(x), y).item() * len(x)\n",
    "                count += len(x)\n",
    "        val_loss = total / count\n",
    "        rows.append({\"epoch\": epoch, \"train_mse\": train_loss, \"val_mse\": val_loss})\n",
    "        print(f\"epoch {epoch:02d} | train {train_loss:.4f} | validation {val_loss:.4f}\")\n",
    "        if val_loss < best_loss:\n",
    "            best_loss, stale, best_epoch = val_loss, 0, epoch\n",
    "            best_state = copy.deepcopy(model.state_dict())\n",
    "        else:\n",
    "            stale += 1\n",
    "        if stale >= PATIENCE:\n",
    "            print(\"Early stopping\")\n",
    "            break\n",
    "    assert best_state is not None\n",
    "    model.load_state_dict(best_state)\n",
    "    model.eval()\n",
    "    print(f\"Restored epoch {best_epoch}; elapsed {time.perf_counter()-start_time:.1f} s\")\n",
    "    return model, pd.DataFrame(rows)\n",
    "\n",
    "def plot_history(history, title):\n",
    "    history.set_index(\"epoch\")[[\"train_mse\", \"val_mse\"]].plot(marker=\"o\")\n",
    "    plt.title(title); plt.ylabel(\"MSE (standardised units)\"); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b36871ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 01 | train 1.0072 | validation 0.7269\n",
      "epoch 02 | train 0.9781 | validation 0.6906\n",
      "epoch 03 | train 0.9210 | validation 0.6301\n",
      "epoch 04 | train 0.8095 | validation 0.5179\n",
      "epoch 05 | train 0.6277 | validation 0.3745\n",
      "epoch 06 | train 0.4434 | validation 0.3032\n",
      "epoch 07 | train 0.3489 | validation 0.3050\n",
      "epoch 08 | train 0.3227 | validation 0.3187\n",
      "epoch 09 | train 0.3116 | validation 0.3028\n",
      "epoch 10 | train 0.2906 | validation 0.2729\n",
      "epoch 11 | train 0.2754 | validation 0.2553\n",
      "epoch 12 | train 0.2600 | validation 0.2474\n",
      "epoch 13 | train 0.2433 | validation 0.2376\n",
      "epoch 14 | train 0.2286 | validation 0.2253\n",
      "epoch 15 | train 0.2168 | validation 0.2158\n",
      "epoch 16 | train 0.2025 | validation 0.2108\n",
      "epoch 17 | train 0.1909 | validation 0.1949\n",
      "epoch 18 | train 0.1801 | validation 0.1897\n",
      "epoch 19 | train 0.1700 | validation 0.1841\n",
      "epoch 20 | train 0.1624 | validation 0.1741\n",
      "Restored epoch 20; elapsed 46.4 s\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x350 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "torch.manual_seed(SEED)\n",
    "model_one, history_one = fit_model(StackedLSTM(horizon=1),\n",
    "                                   loaders_one[\"train\"], loaders_one[\"validation\"])\n",
    "plot_history(history_one, \"One-step model: training and validation\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5244236b",
   "metadata": {},
   "source": [
    "## 7. Rolling one-step forecasts\n",
    "At each test origin, the input contains the latest **observed** temperatures. This is an evaluation with updated observations, not a multi-day forecast from a single origin. Our evaluation origins are spaced six hours apart to keep computation manageable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e1469096",
   "metadata": {},
   "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 (°C)</th>\n",
       "      <th>RMSE (°C)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LSTM</th>\n",
       "      <td>2.991766</td>\n",
       "      <td>3.913813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Persistence</th>\n",
       "      <td>0.663593</td>\n",
       "      <td>0.937228</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             MAE (°C)  RMSE (°C)\n",
       "LSTM         2.991766   3.913813\n",
       "Persistence  0.663593   0.937228"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def predict_direct(model, loader):\n",
    "    predictions, targets = [], []\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        for x, y in loader:\n",
    "            predictions.append(model(x.to(DEVICE)).cpu().numpy())\n",
    "            targets.append(y.numpy())\n",
    "    return np.concatenate(predictions), np.concatenate(targets)\n",
    "\n",
    "pred_one_z, truth_one_z = predict_direct(model_one, loaders_one[\"test\"])\n",
    "pred_one, truth_one = to_celsius(pred_one_z), to_celsius(truth_one_z)\n",
    "\n",
    "def scores(truth, prediction):\n",
    "    error = np.asarray(prediction) - np.asarray(truth)\n",
    "    return {\"MAE (°C)\": float(np.mean(np.abs(error))),\n",
    "            \"RMSE (°C)\": float(np.sqrt(np.mean(error**2)))}\n",
    "\n",
    "persistence_one = temperature[starts[\"test\"]-1, 0][:, None]\n",
    "display(pd.DataFrame({\"LSTM\": scores(truth_one, pred_one),\n",
    "                      \"Persistence\": scores(truth_one, persistence_one)}).T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a6971422",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x350 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show = min(60, len(starts[\"test\"]))\n",
    "target_times = hourly.index[starts[\"test\"][:show]]\n",
    "plt.plot(target_times, truth_one[:show, 0], label=\"Observed\", color=\"black\")\n",
    "plt.plot(target_times, pred_one[:show, 0], label=\"Rolling one-step LSTM\")\n",
    "plt.plot(target_times, persistence_one[:show, 0], label=\"Persistence\", alpha=0.7)\n",
    "plt.title(\"Next-hour predictions at successive evaluation origins\")\n",
    "plt.ylabel(\"Temperature (°C)\"); plt.legend(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a90e22a",
   "metadata": {},
   "source": [
    "## 8. Recursive multi-step forecasts: feed predictions back\n",
    "Starting from one observed window, predict the next hour, drop the oldest observation and append the prediction. Repeat without inserting the true future values.\n",
    "\n",
    "For clarity, we re-evaluate the entire updated window at every step and reset hidden states each time. This matches how the one-step model was trained. It costs more computation than a specially trained recurrent decoder. The main exercise is univariate: feeding unknown future pressure or humidity into this loop would leak information."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c2dcb713",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[24], line 17\u001b[0m\n\u001b[1;32m     14\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39mconcatenate(predictions)\n\u001b[1;32m     16\u001b[0m loaders_72 \u001b[38;5;241m=\u001b[39m make_loaders(MAX_HORIZON)\n\u001b[0;32m---> 17\u001b[0m recursive_z \u001b[38;5;241m=\u001b[39m predict_recursive(model_one, loaders_72[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtest\u001b[39m\u001b[38;5;124m\"\u001b[39m], MAX_HORIZON)\n\u001b[1;32m     18\u001b[0m recursive \u001b[38;5;241m=\u001b[39m to_celsius(recursive_z)\n\u001b[1;32m     19\u001b[0m truth \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mstack([temperature[s:s\u001b[38;5;241m+\u001b[39mMAX_HORIZON, \u001b[38;5;241m0\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m s \u001b[38;5;129;01min\u001b[39;00m starts[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtest\u001b[39m\u001b[38;5;124m\"\u001b[39m]])\n",
      "Cell \u001b[0;32mIn[24], line 10\u001b[0m, in \u001b[0;36mpredict_recursive\u001b[0;34m(model, loader, horizon)\u001b[0m\n\u001b[1;32m      8\u001b[0m future \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m      9\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m lead \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(horizon):\n\u001b[0;32m---> 10\u001b[0m     next_value \u001b[38;5;241m=\u001b[39m model(window)                   \u001b[38;5;66;03m# (B, 1)\u001b[39;00m\n\u001b[1;32m     11\u001b[0m     future\u001b[38;5;241m.\u001b[39mappend(next_value)\n\u001b[1;32m     12\u001b[0m     window \u001b[38;5;241m=\u001b[39m torch\u001b[38;5;241m.\u001b[39mcat([window[:, \u001b[38;5;241m1\u001b[39m:, :], next_value\u001b[38;5;241m.\u001b[39munsqueeze(\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)], dim\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\n",
      "File \u001b[0;32m~/anaconda3/lib/python3.11/site-packages/torch/nn/modules/module.py:1532\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1530\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)  \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m   1531\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1532\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "File \u001b[0;32m~/anaconda3/lib/python3.11/site-packages/torch/nn/modules/module.py:1541\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1536\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m   1537\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m   1538\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m   1539\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m   1540\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1541\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m forward_call(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m   1543\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   1544\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
      "Cell \u001b[0;32mIn[17], line 10\u001b[0m, in \u001b[0;36mStackedLSTM.forward\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mforward\u001b[39m(\u001b[38;5;28mself\u001b[39m, x):\n\u001b[0;32m---> 10\u001b[0m     sequence1, (h1, c1) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlstm1(x)       \u001b[38;5;66;03m# (B, L, 64)\u001b[39;00m\n\u001b[1;32m     11\u001b[0m     sequence2, (h2, c2) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlstm2(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdropout(sequence1))\n\u001b[1;32m     12\u001b[0m     sequence3, (h3, c3) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlstm3(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdropout(sequence2))  \u001b[38;5;66;03m# (B, L, 32)\u001b[39;00m\n",
      "File \u001b[0;32m~/anaconda3/lib/python3.11/site-packages/torch/nn/modules/module.py:1532\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1530\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)  \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m   1531\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1532\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "File \u001b[0;32m~/anaconda3/lib/python3.11/site-packages/torch/nn/modules/module.py:1541\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1536\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m   1537\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m   1538\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m   1539\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m   1540\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1541\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m forward_call(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m   1543\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   1544\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
      "File \u001b[0;32m~/anaconda3/lib/python3.11/site-packages/torch/nn/modules/rnn.py:911\u001b[0m, in \u001b[0;36mLSTM.forward\u001b[0;34m(self, input, hx)\u001b[0m\n\u001b[1;32m    908\u001b[0m         hx \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpermute_hidden(hx, sorted_indices)\n\u001b[1;32m    910\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m batch_sizes \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 911\u001b[0m     result \u001b[38;5;241m=\u001b[39m _VF\u001b[38;5;241m.\u001b[39mlstm(\u001b[38;5;28minput\u001b[39m, hx, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_flat_weights, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbias, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnum_layers,\n\u001b[1;32m    912\u001b[0m                       \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdropout, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtraining, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbidirectional, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbatch_first)\n\u001b[1;32m    913\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    914\u001b[0m     result \u001b[38;5;241m=\u001b[39m _VF\u001b[38;5;241m.\u001b[39mlstm(\u001b[38;5;28minput\u001b[39m, batch_sizes, hx, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_flat_weights, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbias,\n\u001b[1;32m    915\u001b[0m                       \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnum_layers, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdropout, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtraining, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbidirectional)\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "def predict_recursive(model, loader, horizon):\n",
    "    predictions = []\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        for x, _ in loader:\n",
    "            window = x.to(DEVICE).clone()\n",
    "            assert window.shape[-1] == 1, \"This recursive loop is univariate.\"\n",
    "            future = []\n",
    "            for lead in range(horizon):\n",
    "                next_value = model(window)                   # (B, 1)\n",
    "                future.append(next_value)\n",
    "                window = torch.cat([window[:, 1:, :], next_value.unsqueeze(-1)], dim=1)\n",
    "            predictions.append(torch.cat(future, dim=1).cpu().numpy())\n",
    "    return np.concatenate(predictions)\n",
    "\n",
    "loaders_72 = make_loaders(MAX_HORIZON)\n",
    "recursive_z = predict_recursive(model_one, loaders_72[\"test\"], MAX_HORIZON)\n",
    "recursive = to_celsius(recursive_z)\n",
    "truth = np.stack([temperature[s:s+MAX_HORIZON, 0] for s in starts[\"test\"]])\n",
    "assert recursive.shape == truth.shape\n",
    "assert np.allclose(recursive[:, 0], pred_one[:, 0], atol=1e-4)\n",
    "print(\"Recursive predictions:\", recursive.shape, \"= (origins, future hours)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51ba0a79",
   "metadata": {},
   "source": [
    "## 9. Direct multi-output forecasts\n",
    "Train a separate model for each horizon (6, 24, 72). Each model sees only observed history and returns its complete forecast in one pass. The horizon changes both the target shape and the linear head width. It does not require changing the LSTM layers.\n",
    "\n",
    "Errors can still grow with lead time; avoiding recursive feedback does not guarantee better accuracy. Each experiment is initialised afresh and selected on validation loss."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ec4ee5f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Inspect the new target before training.\n",
    "x6, y6 = next(iter(make_loaders(6)[\"train\"]))\n",
    "print(\"Six-step input:\", x6.shape, \"| six-step target:\", y6.shape)\n",
    "assert y6.shape[1] == 6\n",
    "print(\"First target sequence in °C:\", to_celsius(y6[0].numpy()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8986cd02",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "DIRECT MODEL: next 6 hours\n",
      "epoch 01 | train 0.9976 | validation 0.6779\n",
      "epoch 02 | train 0.6701 | validation 0.3712\n",
      "epoch 03 | train 0.4118 | validation 0.4743\n",
      "epoch 04 | train 0.3580 | validation 0.3254\n",
      "epoch 05 | train 0.2767 | validation 0.2490\n",
      "epoch 06 | train 0.2214 | validation 0.2273\n",
      "epoch 07 | train 0.1893 | validation 0.2202\n",
      "epoch 08 | train 0.1870 | validation 0.2237\n",
      "epoch 09 | train 0.1807 | validation 0.2086\n",
      "epoch 10 | train 0.1827 | validation 0.2047\n",
      "epoch 11 | train 0.1741 | validation 0.2034\n",
      "epoch 12 | train 0.1738 | validation 0.2016\n",
      "epoch 13 | train 0.1724 | validation 0.1937\n",
      "epoch 14 | train 0.1741 | validation 0.1953\n",
      "epoch 15 | train 0.1715 | validation 0.1912\n",
      "epoch 16 | train 0.1668 | validation 0.1905\n",
      "epoch 17 | train 0.1599 | validation 0.1860\n",
      "epoch 18 | train 0.1546 | validation 0.1735\n",
      "epoch 19 | train 0.1458 | validation 0.1572\n",
      "epoch 20 | train 0.1285 | validation 0.1358\n",
      "Restored epoch 20; elapsed 34.2 s\n",
      "\n",
      "DIRECT MODEL: next 24 hours\n",
      "epoch 01 | train 1.0193 | validation 0.7333\n",
      "epoch 02 | train 0.8399 | validation 0.4706\n",
      "epoch 03 | train 0.5371 | validation 0.4216\n",
      "epoch 04 | train 0.3968 | validation 0.3314\n",
      "epoch 05 | train 0.2853 | validation 0.2352\n",
      "epoch 06 | train 0.2155 | validation 0.2079\n",
      "epoch 07 | train 0.1914 | validation 0.2089\n",
      "epoch 08 | train 0.1898 | validation 0.2016\n",
      "epoch 09 | train 0.1837 | validation 0.2008\n",
      "epoch 10 | train 0.1922 | validation 0.1971\n",
      "epoch 11 | train 0.1820 | validation 0.1983\n",
      "epoch 12 | train 0.1797 | validation 0.2000\n",
      "epoch 13 | train 0.1837 | validation 0.1981\n",
      "epoch 14 | train 0.1808 | validation 0.1948\n",
      "epoch 15 | train 0.1781 | validation 0.1951\n",
      "epoch 16 | train 0.1784 | validation 0.1991\n",
      "epoch 17 | train 0.1772 | validation 0.1955\n",
      "epoch 18 | train 0.1785 | validation 0.1922\n",
      "epoch 19 | train 0.1787 | validation 0.1913\n",
      "epoch 20 | train 0.1761 | validation 0.1917\n",
      "Restored epoch 19; elapsed 33.0 s\n",
      "\n",
      "DIRECT MODEL: next 72 hours\n",
      "epoch 01 | train 1.0261 | validation 0.7369\n",
      "epoch 02 | train 0.8970 | validation 0.5415\n",
      "epoch 03 | train 0.6113 | validation 0.5419\n",
      "epoch 04 | train 0.5041 | validation 0.5053\n",
      "epoch 05 | train 0.4304 | validation 0.4259\n",
      "epoch 06 | train 0.3797 | validation 0.3484\n",
      "epoch 07 | train 0.3087 | validation 0.2792\n",
      "epoch 08 | train 0.2707 | validation 0.2751\n",
      "epoch 09 | train 0.2601 | validation 0.2715\n",
      "epoch 10 | train 0.2579 | validation 0.2752\n",
      "epoch 11 | train 0.2558 | validation 0.2704\n",
      "epoch 12 | train 0.2554 | validation 0.2640\n",
      "epoch 13 | train 0.2538 | validation 0.2685\n",
      "epoch 14 | train 0.2519 | validation 0.2612\n",
      "epoch 15 | train 0.2486 | validation 0.2630\n",
      "epoch 16 | train 0.2496 | validation 0.2680\n",
      "epoch 17 | train 0.2470 | validation 0.2632\n",
      "epoch 18 | train 0.2483 | validation 0.2612\n",
      "Early stopping\n",
      "Restored epoch 14; elapsed 31.6 s\n"
     ]
    }
   ],
   "source": [
    "models_direct = {1: model_one}\n",
    "histories_direct = {1: history_one}\n",
    "for horizon in (6, 24, 72):\n",
    "    print(f\"\\nDIRECT MODEL: next {horizon} hours\")\n",
    "    loaders = make_loaders(horizon)\n",
    "    torch.manual_seed(SEED)\n",
    "    models_direct[horizon], histories_direct[horizon] = fit_model(\n",
    "        StackedLSTM(horizon=horizon), loaders[\"train\"], loaders[\"validation\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "176a211a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x350 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 3, figsize=(15, 3.5))\n",
    "for ax, horizon in zip(axes, (6, 24, 72)):\n",
    "    history = histories_direct[horizon]\n",
    "    ax.plot(history.epoch, history.train_mse, label=\"Train\")\n",
    "    ax.plot(history.epoch, history.val_mse, label=\"Validation\")\n",
    "    ax.set(title=f\"H = {horizon}\", xlabel=\"Epoch\", ylabel=\"Standardised MSE\")\n",
    "    ax.legend()\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1a8429bc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All direct prediction shapes: {1: (1449, 1), 6: (1449, 6), 24: (1449, 24), 72: (1449, 72)}\n"
     ]
    }
   ],
   "source": [
    "direct_predictions = {1: pred_one}\n",
    "for horizon in (6, 24, 72):\n",
    "    p, target = predict_direct(models_direct[horizon], make_loaders(horizon)[\"test\"])\n",
    "    direct_predictions[horizon] = to_celsius(p)\n",
    "    assert np.allclose(to_celsius(target), truth[:, :horizon], atol=1e-4)\n",
    "    assert np.isfinite(p).all()\n",
    "print(\"All direct prediction shapes:\", {h: p.shape for h, p in direct_predictions.items()})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bafc3d7c",
   "metadata": {},
   "source": [
    "## 10. Baselines and fair comparisons\n",
    "**Persistence:** repeat the last observed temperature. **Daily seasonal persistence:** repeat the entire most recent 24-hour observed pattern, cycling it for longer horizons. Even beyond 24 hours this baseline never accesses future measurements.\n",
    "\n",
    "All methods below use the same origins and target timestamps. Aggregate metrics average over both origins and leads; lead-wise metrics reveal what the aggregate hides. Overlapping target windows are legitimate repeated forecast tasks, but their errors are dependent: this is not an independent-sample confidence interval.\n",
    "\n",
    "We avoid MAPE for Celsius temperatures because zero and negative values make percentage errors misleading. These are point forecasts, not uncertainty intervals."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "11591d89",
   "metadata": {},
   "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>Horizon (h)</th>\n",
       "      <th>Method</th>\n",
       "      <th>MAE (°C)</th>\n",
       "      <th>RMSE (°C)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Persistence</td>\n",
       "      <td>0.664</td>\n",
       "      <td>0.937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Daily seasonal</td>\n",
       "      <td>2.789</td>\n",
       "      <td>3.611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Recursive LSTM</td>\n",
       "      <td>0.895</td>\n",
       "      <td>1.292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>Direct LSTM</td>\n",
       "      <td>0.895</td>\n",
       "      <td>1.292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>Persistence</td>\n",
       "      <td>2.140</td>\n",
       "      <td>3.021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>Daily seasonal</td>\n",
       "      <td>2.752</td>\n",
       "      <td>3.574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>Recursive LSTM</td>\n",
       "      <td>1.774</td>\n",
       "      <td>2.527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>6</td>\n",
       "      <td>Direct LSTM</td>\n",
       "      <td>2.648</td>\n",
       "      <td>3.487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>24</td>\n",
       "      <td>Persistence</td>\n",
       "      <td>3.460</td>\n",
       "      <td>4.710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>24</td>\n",
       "      <td>Daily seasonal</td>\n",
       "      <td>2.753</td>\n",
       "      <td>3.574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>24</td>\n",
       "      <td>Recursive LSTM</td>\n",
       "      <td>2.998</td>\n",
       "      <td>3.991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>24</td>\n",
       "      <td>Direct LSTM</td>\n",
       "      <td>3.178</td>\n",
       "      <td>4.113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>72</td>\n",
       "      <td>Persistence</td>\n",
       "      <td>4.138</td>\n",
       "      <td>5.442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>72</td>\n",
       "      <td>Daily seasonal</td>\n",
       "      <td>3.362</td>\n",
       "      <td>4.351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>72</td>\n",
       "      <td>Recursive LSTM</td>\n",
       "      <td>3.946</td>\n",
       "      <td>5.113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>72</td>\n",
       "      <td>Direct LSTM</td>\n",
       "      <td>3.671</td>\n",
       "      <td>4.759</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Horizon (h)          Method  MAE (°C)  RMSE (°C)\n",
       "0             1     Persistence     0.664      0.937\n",
       "1             1  Daily seasonal     2.789      3.611\n",
       "2             1  Recursive LSTM     0.895      1.292\n",
       "3             1     Direct LSTM     0.895      1.292\n",
       "4             6     Persistence     2.140      3.021\n",
       "5             6  Daily seasonal     2.752      3.574\n",
       "6             6  Recursive LSTM     1.774      2.527\n",
       "7             6     Direct LSTM     2.648      3.487\n",
       "8            24     Persistence     3.460      4.710\n",
       "9            24  Daily seasonal     2.753      3.574\n",
       "10           24  Recursive LSTM     2.998      3.991\n",
       "11           24     Direct LSTM     3.178      4.113\n",
       "12           72     Persistence     4.138      5.442\n",
       "13           72  Daily seasonal     3.362      4.351\n",
       "14           72  Recursive LSTM     3.946      5.113\n",
       "15           72     Direct LSTM     3.671      4.759"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "persistence = np.repeat(temperature[starts[\"test\"]-1, 0][:, None], MAX_HORIZON, axis=1)\n",
    "seasonal = np.stack([\n",
    "    temperature[s-24 + np.arange(MAX_HORIZON) % 24, 0] for s in starts[\"test\"]\n",
    "])\n",
    "assert np.isfinite(seasonal).all()\n",
    "results = []\n",
    "for horizon in HORIZONS:\n",
    "    methods = {\"Persistence\": persistence[:, :horizon],\n",
    "               \"Daily seasonal\": seasonal[:, :horizon],\n",
    "               \"Recursive LSTM\": recursive[:, :horizon],\n",
    "               \"Direct LSTM\": direct_predictions[horizon]}\n",
    "    for name, prediction in methods.items():\n",
    "        results.append({\"Horizon (h)\": horizon, \"Method\": name,\n",
    "                        **scores(truth[:, :horizon], prediction)})\n",
    "results = pd.DataFrame(results)\n",
    "display(results.round(3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "aeafce95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def errors_by_lead(target, prediction):\n",
    "    error = prediction - target\n",
    "    return np.mean(np.abs(error), axis=0), np.sqrt(np.mean(error**2, axis=0))\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(13, 4))\n",
    "for name, prediction in {\"Persistence\": persistence, \"Daily seasonal\": seasonal,\n",
    "                         \"Recursive LSTM\": recursive, \"Direct LSTM (H=72)\": direct_predictions[72]}.items():\n",
    "    mae, rmse = errors_by_lead(truth, prediction)\n",
    "    axes[0].plot(np.arange(1, 73), mae, label=name)\n",
    "    axes[1].plot(np.arange(1, 73), rmse, label=name)\n",
    "for ax, metric in zip(axes, [\"MAE\", \"RMSE\"]):\n",
    "    ax.set(xlabel=\"Lead time (hours)\", ylabel=f\"{metric} (°C)\", title=f\"{metric} versus lead time\")\n",
    "    ax.legend(fontsize=8)\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "3ae5da31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Predetermined origins spread through the test period, not hand-picked successes.\n",
    "example_indices = np.linspace(0, len(starts[\"test\"])-1, 4, dtype=int)\n",
    "fig, axes = plt.subplots(2, 2, figsize=(14, 8))\n",
    "for ax, index in zip(axes.ravel(), example_indices):\n",
    "    s = starts[\"test\"][index]\n",
    "    past_times = hourly.index[s-48:s]\n",
    "    future_times = hourly.index[s:s+72]\n",
    "    ax.plot(past_times, temperature[s-48:s, 0], color=\"gray\", label=\"Observed history\")\n",
    "    ax.plot(future_times, truth[index], color=\"black\", label=\"Future observations\")\n",
    "    ax.plot(future_times, recursive[index], label=\"Recursive\")\n",
    "    ax.plot(future_times, direct_predictions[72][index], label=\"Direct 72h\")\n",
    "    ax.plot(future_times, seasonal[index], ls=\":\", label=\"Daily seasonal\")\n",
    "    ax.axvline(hourly.index[s-1], color=\"black\", ls=\"--\")\n",
    "    ax.set(title=f\"Origin: {hourly.index[s-1]}\", ylabel=\"°C\")\n",
    "    ax.tick_params(axis=\"x\", rotation=25)\n",
    "axes[0, 0].legend(fontsize=8)\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a10d158b",
   "metadata": {},
   "source": [
    "## 11. Optional extension: several past variables, one future target\n",
    "Use past temperature, pressure and humidity to predict the next 24 temperatures. Each feature is standardised using training data only. The output remains `(B, 24)` because we predict one variable at 24 leads.\n",
    "\n",
    "Only **past** weather variables enter the model. Actual future pressure/humidity are not available at forecast time. For a fair comparison, use the same origins for this model and the univariate direct model; if missing auxiliary values remove origins, evaluate both on the retained origins."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "ac40a584",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Multivariate batch: torch.Size([128, 168, 3])\n",
      "epoch 01 | train 1.0145 | validation 0.7154\n",
      "epoch 02 | train 0.8307 | validation 0.4514\n",
      "epoch 03 | train 0.5177 | validation 0.4167\n",
      "epoch 04 | train 0.4269 | validation 0.3470\n",
      "epoch 05 | train 0.3183 | validation 0.2579\n",
      "epoch 06 | train 0.2473 | validation 0.2239\n",
      "epoch 07 | train 0.2019 | validation 0.2033\n",
      "epoch 08 | train 0.1829 | validation 0.2021\n",
      "epoch 09 | train 0.1793 | validation 0.1949\n",
      "epoch 10 | train 0.1727 | validation 0.1928\n",
      "epoch 11 | train 0.1714 | validation 0.1917\n",
      "epoch 12 | train 0.1708 | validation 0.1908\n",
      "epoch 13 | train 0.1692 | validation 0.1903\n",
      "epoch 14 | train 0.1682 | validation 0.1929\n",
      "epoch 15 | train 0.1689 | validation 0.1898\n",
      "epoch 16 | train 0.1665 | validation 0.1889\n",
      "epoch 17 | train 0.1654 | validation 0.1871\n",
      "epoch 18 | train 0.1646 | validation 0.1836\n",
      "epoch 19 | train 0.1606 | validation 0.1820\n",
      "epoch 20 | train 0.1591 | validation 0.1825\n",
      "Restored epoch 19; elapsed 34.9 s\n"
     ]
    }
   ],
   "source": [
    "if RUN_MULTIVARIATE:\n",
    "    feature_scaler = StandardScaler().fit(hourly[FEATURES].iloc[:train_end])\n",
    "    z_multi = feature_scaler.transform(hourly[FEATURES]).astype(np.float32)\n",
    "    multi_starts = {}\n",
    "    for name, (lo, hi) in SPLITS.items():\n",
    "        candidates = valid_starts(z_multi, target_z, lo, hi, LOOKBACK, MAX_HORIZON,\n",
    "                                  TRAIN_STRIDE if name == \"train\" else EVAL_STRIDE)\n",
    "        multi_starts[name] = np.intersect1d(starts[name], candidates)\n",
    "        assert len(multi_starts[name]) > 0\n",
    "    loaders_multi = make_loaders(24, features=z_multi, origin_sets=multi_starts)\n",
    "    print(\"Multivariate batch:\", next(iter(loaders_multi[\"train\"]))[0].shape)\n",
    "    torch.manual_seed(SEED)\n",
    "    model_multi, history_multi = fit_model(StackedLSTM(input_size=3, horizon=24),\n",
    "                                           loaders_multi[\"train\"], loaders_multi[\"validation\"])\n",
    "else:\n",
    "    print(\"Multivariate extension skipped by configuration.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "6f02b6dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input sizes differ; models also have different parameter counts.\n",
      "For a strict training-origin comparison, retrain both on multi_starts if origins were removed.\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>MAE (°C)</th>\n",
       "      <th>RMSE (°C)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Univariate direct 24h</th>\n",
       "      <td>3.178</td>\n",
       "      <td>4.113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Multivariate direct 24h</th>\n",
       "      <td>3.096</td>\n",
       "      <td>3.980</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         MAE (°C)  RMSE (°C)\n",
       "Univariate direct 24h       3.178      4.113\n",
       "Multivariate direct 24h     3.096      3.980"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if RUN_MULTIVARIATE:\n",
    "    p_multi, target_multi = predict_direct(model_multi, loaders_multi[\"test\"])\n",
    "    matched_uni_loader = make_loaders(24, features=z, origin_sets=multi_starts)[\"test\"]\n",
    "    p_uni, target_uni = predict_direct(models_direct[24], matched_uni_loader)\n",
    "    assert np.array_equal(target_multi, target_uni)\n",
    "    display(pd.DataFrame({\n",
    "        \"Univariate direct 24h\": scores(to_celsius(target_uni), to_celsius(p_uni)),\n",
    "        \"Multivariate direct 24h\": scores(to_celsius(target_multi), to_celsius(p_multi))\n",
    "    }).T.round(3))\n",
    "    print(\"Input sizes differ; models also have different parameter counts.\")\n",
    "    print(\"For a strict training-origin comparison, retrain both on multi_starts if origins were removed.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f19fd8b",
   "metadata": {},
   "source": [
    "## 12. Interpret what actually happened\n",
    "A small training loss is not sufficient evidence of forecast skill. Compare the selected models with both baselines and examine how results change across leads and seasons. A deeper model is not automatically better; seasonal patterns can make a simple baseline competitive. Classroom mode intentionally trades training time for a complete workflow. It is not a tuned weather forecasting system.\n",
    "\n",
    "Do not repeatedly tune on the test results. Use validation for choices, then reserve a new future period for a fresh final assessment if test results have influenced development."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "d737bb5e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Execution reached the final verification cell.\n",
      "Configuration: classroom | maximum epochs: 20 | device: cpu\n",
      "Number of test forecast origins: 1449\n",
      "H= 1: lowest observed test MAE among compared methods: Persistence (0.664 °C)\n",
      "H= 6: lowest observed test MAE among compared methods: Recursive LSTM (1.774 °C)\n",
      "H=24: lowest observed test MAE among compared methods: Daily seasonal (2.753 °C)\n",
      "H=72: lowest observed test MAE among compared methods: Daily seasonal (3.362 °C)\n",
      "All shape, chronology and finite-output checks passed.\n"
     ]
    }
   ],
   "source": [
    "print(\"Execution reached the final verification cell.\")\n",
    "print(\"Configuration:\", MODE, \"| maximum epochs:\", EPOCHS, \"| device:\", DEVICE)\n",
    "print(\"Number of test forecast origins:\", len(starts[\"test\"]))\n",
    "assert all(np.isfinite(p).all() for p in direct_predictions.values())\n",
    "assert np.isfinite(recursive).all()\n",
    "assert all(h.val_mse.notna().all() for h in histories_direct.values())\n",
    "for horizon in HORIZONS:\n",
    "    table = results[results[\"Horizon (h)\"] == horizon].sort_values(\"MAE (°C)\")\n",
    "    print(f\"H={horizon:2d}: lowest observed test MAE among compared methods: \"\n",
    "          f\"{table.iloc[0]['Method']} ({table.iloc[0]['MAE (°C)']:.3f} °C)\")\n",
    "print(\"All shape, chronology and finite-output checks passed.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5134bb4",
   "metadata": {},
   "source": [
    "## Assignment — submit your notebook and a short discussion\n",
    "Keep the original results before changing settings. Use validation for model choices, record seeds and settings, and report all attempted configurations. The test set must not become a tuning set.\n",
    "\n",
    "1. **Windows by hand.** For the sequence `[10, 11, 12, 13, 14, 15, 16, 17]`, write every input–target pair with `L=3`, `H=2`, stride 1. How many samples are there? Derive the general sample-count formula for a length-`N` series without missing values.\n",
    "2. **Target definition.** Modify the dataset to predict only the value 24 hours ahead, rather than all next 24 values. Show the target and model-output shapes. Compare its validation error with lead 24 of the 24-output model.\n",
    "3. **Leakage audit.** Explain why fitting the scaler on the full series and randomly splitting overlapping windows can bias evaluation. Why is using the last training observations as the first validation input allowed? Identify the exact checks in this notebook that enforce target separation.\n",
    "4. **Lookback experiment.** Compare `L=24`, `72`, and `168` for a direct 24-hour model. Hold the forecast origins, seed, architecture and maximum epochs fixed wherever feasible. Select using validation; discuss memory, training time and errors.\n",
    "5. **Depth experiment.** Implement a one-layer and a two-layer LSTM. Compare them with the three-layer model. Report parameter counts and training times. Does greater depth improve validation performance? Discuss whether parameter count confounds this comparison.\n",
    "6. **Recursive versus direct.** At 6, 24 and 72 hours, report both the error at the last lead and the average error over all leads. Explain why these are different quantities. Use the curves to discuss error accumulation without assuming it must be monotonic.\n",
    "7. **A strong baseline.** Implement an additional forecast baseline, such as a linear model using the same input window. Fit it only on training data. Does the LSTM justify its added complexity?\n",
    "8. **More inputs.** Compare past temperature alone with temperature, pressure and humidity for the 24-hour task. Use matching training, validation and test origins. Explain why observed future weather variables cannot be supplied to the model.\n",
    "9. **Seasonal behaviour.** Report MAE separately for winter and summer forecast origins. Use the same origins for every method. Discuss whether a single aggregate score adequately represents performance.\n",
    "10. **Sensitivity to initialisation.** Repeat a selected experiment with three seeds. Report mean and standard deviation of the metrics and training time. Explain why this variability is not a calibrated prediction interval.\n",
    "11. **Challenge: 168-hour forecasts.** Extend the maximum horizon to one week, rebuild every dataset and baseline, and retrain the corresponding direct model. Check all boundary assertions. Explain the practical limits of the observed forecasts.\n",
    "12. **Challenge: model preservation.** Save model weights together with feature names, scaling parameters, lookback and horizon. Reload into a fresh model and verify that predictions agree in evaluation mode.\n",
    "\n",
    "**Suggested submission:** executed notebook; a table of configurations and validation results; final test results for your selected configuration; at least three informative plots; a 1–2 page discussion of findings and limitations. Good experimental reasoning matters more than obtaining the smallest error."
   ]
  }
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