{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How to Use Forecasters in Merlion\n",
    "\n",
    "This notebook will guide you through using all the key features of forecasters in Merlion. Specifically, we will explain\n",
    "\n",
    "1. Initializing a forecasting model (including ensembles and automatic model selectors)\n",
    "1. Training the model\n",
    "1. Producing a forecast with the model\n",
    "1. Visualizing the model's predictions\n",
    "1. Quantitatively evaluating the model\n",
    "1. Saving and loading a trained model\n",
    "1. Simulating the live deployment of a model using a `ForecastEvaluator`\n",
    "\n",
    "We will be using a single example time series for this whole notebook. We load it now:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 414/414 [00:00<00:00, 709.91it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Has missing data: False\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "700 points in train split, 48 points in test split.\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "from merlion.utils.time_series import TimeSeries\n",
    "from ts_datasets.forecast import M4\n",
    "\n",
    "# Load the time series\n",
    "# time_series is a time-indexed pandas.DataFrame\n",
    "# trainval is a time-indexed pandas.Series indicating whether each timestamp is for training or testing\n",
    "time_series, metadata = M4(subset=\"Hourly\")[5]\n",
    "trainval = metadata[\"trainval\"]\n",
    "\n",
    "# Is there any missing data?\n",
    "timedeltas = np.diff(time_series.index)\n",
    "print(f\"Has missing data: {any(timedeltas != timedeltas[0])}\")\n",
    "\n",
    "# Visualize the time series and draw a dotted line to indicate the train/test split\n",
    "fig = plt.figure(figsize=(10, 6))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot(time_series)\n",
    "ax.axvline(time_series[trainval].index[-1], ls=\"--\", lw=\"2\", c=\"k\")\n",
    "plt.show()\n",
    "\n",
    "# Split the time series into train/test splits, and convert it to Merlion format\n",
    "train_data = TimeSeries.from_pd(time_series[trainval])\n",
    "test_data  = TimeSeries.from_pd(time_series[~trainval])\n",
    "print(f\"{len(train_data)} points in train split, \"\n",
    "      f\"{len(test_data)} points in test split.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model Initialization\n",
    "\n",
    "In this notebook, we will use three different forecasting models:\n",
    "1. ARIMA (a classic stochastic process model)\n",
    "2. Prophet (Facebook's popular time series forecasting model)\n",
    "3. MSES (the Multi-Scale Exponential Smoothing model, developed in-house)\n",
    "\n",
    "Let's start by initializing each of them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import models & configs\n",
    "from merlion.models.forecast.arima import Arima, ArimaConfig\n",
    "from merlion.models.forecast.prophet import Prophet, ProphetConfig\n",
    "from merlion.models.forecast.smoother import MSES, MSESConfig\n",
    "\n",
    "# Import data pre-processing transforms\n",
    "from merlion.transform.base import Identity\n",
    "from merlion.transform.resample import TemporalResample\n",
    "\n",
    "# All models are initialized using the syntax ModelClass(config),\n",
    "# where config is a model-specific configuration object. This is where\n",
    "# you specify any algorithm-specific hyperparameters, as well as any\n",
    "# data pre-processing transforms.\n",
    "\n",
    "# ARIMA assumes that input data is sampled at a regular interval,\n",
    "# so we set its transform to resample at that interval. We must also specify\n",
    "# a maximum prediction horizon.\n",
    "config1 = ArimaConfig(max_forecast_steps=100, order=(20, 1, 5),\n",
    "                      transform=TemporalResample(granularity=\"1h\"))\n",
    "model1  = Arima(config1)\n",
    "\n",
    "\n",
    "# Prophet has no real assumptions on the input data (and doesn't require\n",
    "# a maximum prediction horizon), so we skip data pre-processing by using\n",
    "# the Identity transform.\n",
    "config2 = ProphetConfig(max_forecast_steps=None, transform=Identity())\n",
    "model2  = Prophet(config2)\n",
    "\n",
    "\n",
    "# MSES assumes that the input data is sampled at a regular interval,\n",
    "# and requires us to specify a maximum prediction horizon. We will\n",
    "# also specify its look-back hyperparameter to be 60 here\n",
    "config3 = MSESConfig(max_forecast_steps=100, max_backstep=60,\n",
    "                     transform=TemporalResample(granularity=\"1h\"))\n",
    "model3  = MSES(config3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have initialized the individual models, we will also combine them in two different ensembles: `ensemble` simply takes the mean prediction of each individual model, and `selector` selects the best individual model based on its sMAPE (symmetric Mean Average Precision Error). The sMAPE is a metric used to evaluate the quality of a continuous forecast. For ground truth $y \\in \\mathbb{R}^T$ and prediction $\\hat{y} \\in \\mathbb{R}^T$, the sMAPE is computed as\n",
    "\n",
    "$$\n",
    "\\mathrm{sMAPE}(y, \\hat{y}) = \\frac{200}{T} \\sum_{t = 1}^{T} \\frac{\\lvert \\hat{y}_t - y_t \\rvert}{\\lvert\\hat{y}_t\\rvert + \\lvert y_t \\rvert}\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from merlion.evaluate.forecast import ForecastMetric\n",
    "from merlion.models.ensemble.combine import Mean, ModelSelector\n",
    "from merlion.models.ensemble.forecast import ForecasterEnsemble, ForecasterEnsembleConfig\n",
    "\n",
    "# The ForecasterEnsemble is a forecaster, and we treat it as a first-class model.\n",
    "# Its config takes a combiner object, specifying how you want to combine the \n",
    "# predictions of individual models in the ensemble. There are two ways to specify\n",
    "# the actual models in the ensemble, which we cover below.\n",
    "\n",
    "# The first way to specify the models in the ensemble is to provide them when\n",
    "# initializing the ForecasterEnsembleConfig.\n",
    "#\n",
    "# The combiner here will simply take the mean prediction of the ensembles here\n",
    "ensemble_config = ForecasterEnsembleConfig(\n",
    "    combiner=Mean(), models=[model1, model2, model3])\n",
    "ensemble = ForecasterEnsemble(config=ensemble_config)\n",
    "\n",
    "\n",
    "# Alternatively, you can directly specify the models when initializing the\n",
    "# ForecasterEnsemble itself.\n",
    "#\n",
    "# The combiner here uses the sMAPE to compare individual models, and\n",
    "# selects the model with the lowest sMAPE\n",
    "selector_config = ForecasterEnsembleConfig(\n",
    "    combiner=ModelSelector(metric=ForecastMetric.sMAPE))\n",
    "selector = ForecasterEnsemble(\n",
    "    config=selector_config, models=[model1, model2, model3])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model Training\n",
    "\n",
    "All forecasting models (and ensembles) share the same API for training. The `train()` method returns the model's predictions and standard error of those predictions on the training data. Note that the standard error is just `None` if the model doesn't support uncertainty estimation (this is the case for MSES and ensembles)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training Arima...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Training Prophet...\n",
      "\n",
      "Training MSES...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:merlion.models.ensemble.forecast:Training model 1/3 (Arima)...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Training ensemble...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:merlion.models.ensemble.forecast:Training model 2/3 (Prophet)...\n",
      "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n",
      "INFO:merlion.models.ensemble.forecast:Training model 3/3 (MSES)...\n",
      "INFO:merlion.models.ensemble.forecast:Training model 1/3 (Arima)...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Training model selector...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:merlion.models.ensemble.forecast:Training model 2/3 (Prophet)...\n",
      "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n",
      "INFO:merlion.models.ensemble.forecast:Training model 3/3 (MSES)...\n",
      "INFO:merlion.models.ensemble.forecast:Evaluating validation performance...\n",
      "INFO:merlion.models.ensemble.forecast:Re-training model 1/3 (Arima) on full data...\n",
      "INFO:merlion.models.ensemble.forecast:Re-training model 2/3 (Prophet) on full data...\n",
      "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n",
      "INFO:merlion.models.ensemble.forecast:Re-training model 3/3 (MSES) on full data...\n",
      "INFO:merlion.models.ensemble.forecast:Models used (of 3): 1 (Arima)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done!\n"
     ]
    }
   ],
   "source": [
    "print(f\"Training {type(model1).__name__}...\")\n",
    "forecast1, stderr1 = model1.train(train_data)\n",
    "\n",
    "print(f\"\\nTraining {type(model2).__name__}...\")\n",
    "forecast2, stderr2 = model2.train(train_data)\n",
    "\n",
    "print(f\"\\nTraining {type(model3).__name__}...\")\n",
    "forecast3, stderr3 = model3.train(train_data)\n",
    "\n",
    "print(\"\\nTraining ensemble...\")\n",
    "forecast_e, stderr_e = ensemble.train(train_data)\n",
    "\n",
    "print(\"\\nTraining model selector...\")\n",
    "forecast_s, stderr_s = selector.train(train_data)\n",
    "\n",
    "print(\"Done!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model Inference\n",
    "\n",
    "To obtain a forecast from a trained model, we simply call `model.forecast()` with the Unix timestamps at which we the model to generate a forecast. In many cases, you may obtain these directly from a time series as shown below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Truncate the test data to ensure that we are within each model's maximum\n",
    "# forecast horizon.\n",
    "sub_test_data = test_data[:50]\n",
    "\n",
    "# Obtain the time stamps corresponding to the test data\n",
    "time_stamps = sub_test_data.univariates[sub_test_data.names[0]].time_stamps\n",
    "\n",
    "# Get the forecast & standard error of each model. These are both\n",
    "# merlion.utils.TimeSeries objects. Note that the standard error is None for\n",
    "# models which don't support uncertainty estimation (like MSES and all\n",
    "# ensembles).\n",
    "forecast1, stderr1 = model1.forecast(time_stamps=time_stamps)\n",
    "forecast2, stderr2 = model2.forecast(time_stamps=time_stamps)\n",
    "\n",
    "# You may optionally specify a time series prefix as context. If one isn't\n",
    "# specified, the prefix is assumed to be the training data. Here, we just make\n",
    "# this dependence explicit. More generally, this feature is useful if you want\n",
    "# to use a pre-trained model to make predictions on data further in the future\n",
    "# from the last time it was trained.\n",
    "forecast3, stderr3 = model3.forecast(time_stamps=time_stamps, time_series_prev=train_data)\n",
    "\n",
    "# The same options are available for ensembles as well, though the stderr is None\n",
    "forecast_e, stderr_e = ensemble.forecast(time_stamps=time_stamps)\n",
    "forecast_s, stderr_s = selector.forecast(time_stamps=time_stamps, time_series_prev=train_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model Visualization and Quantitative Evaluation\n",
    "\n",
    "It is fairly transparent to visualize a model's forecast and also quantitatively evaluate the forecast, using standard metrics like sMAPE. We show examples for all five models below.\n",
    "\n",
    "Below, we quantitatively evaluate the models using the sMAPE metric. However, the `ForecastMetric` enum includes a number of other options as well. In general, you may use the syntax\n",
    "```\n",
    "ForecastMetric.<metric_name>.value(ground_truth=ground_truth, predict=forecast)\n",
    "```\n",
    "where `<metric_name>` is the name of the evaluation metric (see the API docs for details and more options), `ground_truth` is the original time series, and `forecast` is the forecast returned by the model. We show concrete examples with `ForecastMetric.sMAPE` below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Arima sMAPE is 3.768\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from merlion.evaluate.forecast import ForecastMetric\n",
    "\n",
    "# We begin by computing the sMAPE of ARIMA's forecast (scale is 0 to 100)\n",
    "smape1 = ForecastMetric.sMAPE.value(ground_truth=sub_test_data,\n",
    "                                    predict=forecast1)\n",
    "print(f\"{type(model1).__name__} sMAPE is {smape1:.3f}\")\n",
    "\n",
    "# Next, we can visualize the actual forecast, and understand why it\n",
    "# attains this particular sMAPE. Since ARIMA supports uncertainty\n",
    "# estimation, we plot its error bars too.\n",
    "fig, ax = model1.plot_forecast(time_series=sub_test_data,\n",
    "                               plot_forecast_uncertainty=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Prophet sMAPE is 2.913\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We begin by computing the sMAPE of Prophet's forecast (scale is 0 to 100)\n",
    "smape2 = ForecastMetric.sMAPE.value(sub_test_data, forecast2)\n",
    "print(f\"{type(model2).__name__} sMAPE is {smape2:.3f}\")\n",
    "\n",
    "# Next, we can visualize the actual forecast, and understand why it\n",
    "# attains this particular sMAPE. Since Prophet supports uncertainty\n",
    "# estimation, we plot its error bars too.\n",
    "# Note that we can specify time_series_prev here as well, though it\n",
    "# will not be visualized unless we also supply the keyword argument\n",
    "# plot_time_series_prev=True.\n",
    "fig, ax = model2.plot_forecast(time_series=sub_test_data,\n",
    "                               time_series_prev=train_data,\n",
    "                               plot_forecast_uncertainty=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MSES sMAPE is 4.377\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We begin by computing the sMAPE of MSES's forecast (scale is 0 to 100)\n",
    "smape3 = ForecastMetric.sMAPE.value(sub_test_data, forecast3)\n",
    "print(f\"{type(model3).__name__} sMAPE is {smape3:.3f}\")\n",
    "\n",
    "# Next, we visualize the actual forecast, and understand why it \n",
    "# attains this particular sMAPE.\n",
    "fig, ax = model3.plot_forecast(time_series=sub_test_data,\n",
    "                               plot_forecast_uncertainty=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ensemble sMAPE is 2.590\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute the sMAPE of the ensemble's forecast (scale is 0 to 100)\n",
    "smape_e = ForecastMetric.sMAPE.value(sub_test_data, forecast_e)\n",
    "print(f\"Ensemble sMAPE is {smape_e:.3f}\")\n",
    "\n",
    "# Visualize the forecast.\n",
    "fig, ax = ensemble.plot_forecast(time_series=sub_test_data,\n",
    "                                 plot_forecast_uncertainty=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selector sMAPE is 3.768\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute the sMAPE of the selector's forecast (scale is 0 to 100)\n",
    "smape_s = ForecastMetric.sMAPE.value(sub_test_data, forecast_s)\n",
    "print(f\"Selector sMAPE is {smape_s:.3f}\")\n",
    "\n",
    "# Visualize the forecast.\n",
    "fig, ax = selector.plot_forecast(time_series=sub_test_data,\n",
    "                                 plot_forecast_uncertainty=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Saving & Loading Models\n",
    "\n",
    "All models have a `save()` method and `load()` class method. Models may also be loaded with the assistance of the `ModelFactory`, which works for arbitrary models. The `save()` method creates a new directory at the specified path, where it saves a `json` file representing the model's config, as well as a binary file for the model's state.\n",
    "\n",
    "We will demonstrate these behaviors using our `Prophet` model (`model2`) for concreteness."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Prophet Config\n",
      "{'daily_seasonality': 'auto',\n",
      " 'dim': 1,\n",
      " 'holidays': None,\n",
      " 'max_forecast_steps': None,\n",
      " 'model_path': '/Users/abhatnagar/Desktop/Merlion_public/examples/forecast/models/prophet/model.pkl',\n",
      " 'seasonality_mode': 'additive',\n",
      " 'target_seq_index': 0,\n",
      " 'transform': {'name': 'Identity'},\n",
      " 'uncertainty_samples': 100,\n",
      " 'weekly_seasonality': 'auto',\n",
      " 'yearly_seasonality': 'auto'}\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import os\n",
    "import pprint\n",
    "from merlion.models.factory import ModelFactory\n",
    "\n",
    "# Save the model\n",
    "os.makedirs(\"models\", exist_ok=True)\n",
    "path = os.path.join(\"models\", \"prophet\")\n",
    "model2.save(path)\n",
    "\n",
    "# Print the config saved\n",
    "pp = pprint.PrettyPrinter()\n",
    "with open(os.path.join(path, \"config.json\")) as f:\n",
    "    print(f\"{type(model2).__name__} Config\")\n",
    "    pp.pprint(json.load(f))\n",
    "\n",
    "# Load the model using Prophet.load()\n",
    "model2_loaded = Prophet.load(dirname=path)\n",
    "\n",
    "# Load the model using the ModelFactory\n",
    "model2_factory_loaded = ModelFactory.load(name=\"Prophet\", model_path=path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can do the same exact thing with ensembles! Note that the ensemble stores its underlying models in a nested structure. Additionally, the combiner (which is saved in the `ForecasterEnsembleConfig`), keeps track of the sMAPE achieved by each model (the `metric_values` key). This is all reflected in the config."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selector Config\n",
      "{'combiner': {'abs_score': False,\n",
      "              'metric': 'ForecastMetric.sMAPE',\n",
      "              'metric_values': [5.479063255045728,\n",
      "                                8.691874724892063,\n",
      "                                17.72980301555831],\n",
      "              'n_models': 3,\n",
      "              'name': 'ModelSelector'},\n",
      " 'dim': 1,\n",
      " 'max_forecast_steps': None,\n",
      " 'model_path': '/Users/abhatnagar/Desktop/Merlion_public/examples/forecast/models/selector/model.pkl',\n",
      " 'models': [{'dim': 1,\n",
      "             'max_forecast_steps': 100,\n",
      "             'name': 'Arima',\n",
      "             'order': [20, 1, 5],\n",
      "             'target_seq_index': 0,\n",
      "             'transform': {'aggregation_policy': 'Mean',\n",
      "                           'granularity': 3600.0,\n",
      "                           'missing_value_policy': 'Interpolate',\n",
      "                           'name': 'TemporalResample',\n",
      "                           'origin': 0.0,\n",
      "                           'remove_non_overlapping': True,\n",
      "                           'trainable_granularity': False}},\n",
      "            {'daily_seasonality': 'auto',\n",
      "             'dim': 1,\n",
      "             'holidays': None,\n",
      "             'max_forecast_steps': None,\n",
      "             'name': 'Prophet',\n",
      "             'seasonality_mode': 'additive',\n",
      "             'target_seq_index': 0,\n",
      "             'transform': {'name': 'Identity'},\n",
      "             'uncertainty_samples': 100,\n",
      "             'weekly_seasonality': 'auto',\n",
      "             'yearly_seasonality': 'auto'},\n",
      "            {'accel_weight': 1.0,\n",
      "             'dim': 1,\n",
      "             'eta': 0.0,\n",
      "             'inflation': 1.0,\n",
      "             'max_backstep': 60,\n",
      "             'max_forecast_steps': 100,\n",
      "             'name': 'MSES',\n",
      "             'optimize_acc': True,\n",
      "             'phi': 2.0,\n",
      "             'recency_weight': 0.5,\n",
      "             'rho': 0.0,\n",
      "             'target_seq_index': 0,\n",
      "             'transform': {'aggregation_policy': 'Mean',\n",
      "                           'granularity': 3600.0,\n",
      "                           'missing_value_policy': 'Interpolate',\n",
      "                           'name': 'TemporalResample',\n",
      "                           'origin': 0.0,\n",
      "                           'remove_non_overlapping': True,\n",
      "                           'trainable_granularity': False}}],\n",
      " 'target_seq_index': 0,\n",
      " 'transform': {'name': 'Identity'},\n",
      " 'verbose': False}\n"
     ]
    }
   ],
   "source": [
    "# Save the selector\n",
    "path = os.path.join(\"models\", \"selector\")\n",
    "selector.save(path)\n",
    "\n",
    "# Print the config saved. Note that we've saved all individual models,\n",
    "# and their paths are specified under the model_paths key.\n",
    "pp = pprint.PrettyPrinter()\n",
    "with open(os.path.join(path, \"config.json\")) as f:\n",
    "    print(f\"Selector Config\")\n",
    "    pp.pprint(json.load(f))\n",
    "\n",
    "# Load the selector\n",
    "selector_loaded = ForecasterEnsemble.load(dirname=path)\n",
    "\n",
    "# Load the selector using the ModelFactory\n",
    "selector_factory_loaded = ModelFactory.load(name=\"ForecasterEnsemble\", model_path=path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simulating Live Model Deployment\n",
    "\n",
    "A typical model deployment scenario is as follows:\n",
    "1. Train an initial model on some recent historical data\n",
    "1. At a regular interval `cadence`, obtain the model's forecast for a certain `horizon`\n",
    "1. At a regular interval `retrain_freq`, retrain the entire model on the most recent data\n",
    "1. Optionally, specify a maximum amount of data (`train_window`) that the model should use for training\n",
    "\n",
    "We provide a `ForecastEvaluator` object which simulates the above deployment scenario, and also allows a user to evaluate the quality of the forecaster according to an evaluation metric of their choice. We illustrate two examples below, using ARIMA for the first example, and the model selector for the second."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from merlion.evaluate.forecast import ForecastEvaluator, ForecastEvaluatorConfig, ForecastMetric\n",
    "\n",
    "def create_evaluator(model):\n",
    "    # Re-initialize the model, so we can re-train it from scratch\n",
    "    model.reset()\n",
    "\n",
    "    # Create an evaluation pipeline for the model, where we\n",
    "    # -- get the model's forecast every hour\n",
    "    # -- have the model forecast for a horizon of 6 hours\n",
    "    # -- re-train the model every 12 hours\n",
    "    # -- when we re-train the model, retrain it on only the past 2 weeks of data\n",
    "    evaluator = ForecastEvaluator(\n",
    "        model=model, config=ForecastEvaluatorConfig(\n",
    "            cadence=\"1h\", horizon=\"6h\", retrain_freq=\"12h\", train_window=\"14d\")\n",
    "    )\n",
    "    return evaluator"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's evaluate ARIMA."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ForecastEvaluator: 100%|██████████| 169200/169200 [00:08<00:00, 20212.96it/s]\n"
     ]
    }
   ],
   "source": [
    "# Obtain the results of running the evaluation pipeline for ARIMA.\n",
    "# These result objects are to be treated as a black box, and should be\n",
    "# passed directly to the evaluator's evaluate() method.\n",
    "model1_evaluator = create_evaluator(model1)\n",
    "model1_train_result, model1_test_result = model1_evaluator.get_predict(\n",
    "    train_vals=train_data, test_vals=test_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Arima sMAPE: 2.015\n",
      "Arima RMSE:  143.416\n"
     ]
    }
   ],
   "source": [
    "# Evaluate ARIMA's sMAPE and RMSE\n",
    "smape = model1_evaluator.evaluate(\n",
    "    ground_truth=test_data,\n",
    "    predict=model1_test_result,\n",
    "    metric=ForecastMetric.sMAPE)\n",
    "rmse  = model1_evaluator.evaluate(\n",
    "    ground_truth=test_data,\n",
    "    predict=model1_test_result,\n",
    "    metric=ForecastMetric.RMSE)\n",
    "print(f\"{type(model1).__name__} sMAPE: {smape:.3f}\")\n",
    "print(f\"{type(model1).__name__} RMSE:  {rmse:.3f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we will evaluate the ensemble (taking the mean prediction of ARIMA, Prophet, and MSES every time the models are called)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:merlion.models.ensemble.forecast:Training model 1/3 (Arima)...\n",
      "INFO:merlion.models.ensemble.forecast:Training model 2/3 (Prophet)...\n",
      "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n",
      "INFO:merlion.models.ensemble.forecast:Training model 3/3 (MSES)...\n",
      "ForecastEvaluator:  26%|██▌       | 43200/169200 [00:03<00:10, 12027.46it/s]INFO:merlion.models.ensemble.forecast:Training model 1/3 (Arima)...\n",
      "INFO:merlion.models.ensemble.forecast:Training model 2/3 (Prophet)...\n",
      "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n",
      "INFO:prophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.\n",
      "INFO:merlion.models.ensemble.forecast:Training model 3/3 (MSES)...\n",
      "ForecastEvaluator:  51%|█████     | 86400/169200 [00:10<00:07, 10435.72it/s]INFO:merlion.models.ensemble.forecast:Training model 1/3 (Arima)...\n",
      "INFO:merlion.models.ensemble.forecast:Training model 2/3 (Prophet)...\n",
      "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n",
      "INFO:prophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.\n",
      "INFO:merlion.models.ensemble.forecast:Training model 3/3 (MSES)...\n",
      "ForecastEvaluator:  77%|███████▋  | 129600/169200 [00:19<00:03, 10447.73it/s]INFO:merlion.models.ensemble.forecast:Training model 1/3 (Arima)...\n",
      "INFO:merlion.models.ensemble.forecast:Training model 2/3 (Prophet)...\n",
      "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n",
      "INFO:prophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.\n",
      "INFO:merlion.models.ensemble.forecast:Training model 3/3 (MSES)...\n",
      "ForecastEvaluator: 100%|██████████| 169200/169200 [00:26<00:00, 6482.60it/s] \n"
     ]
    }
   ],
   "source": [
    "# Obtain the results of running the evaluation pipeline for the ensemble.\n",
    "# These result objects are to be treated as a black box, and should be\n",
    "# passed directly to the evaluator's evaluate() method.\n",
    "ensemble_evaluator = create_evaluator(ensemble)\n",
    "ensemble_train_result, ensemble_test_result = ensemble_evaluator.get_predict(\n",
    "    train_vals=train_data, test_vals=test_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ensemble sMAPE: 2.896\n",
      "Ensemble RMSE:  210.580\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the selector's sMAPE and RMSE\n",
    "smape = ensemble_evaluator.evaluate(\n",
    "    ground_truth=test_data,\n",
    "    predict=ensemble_test_result,\n",
    "    metric=ForecastMetric.sMAPE)\n",
    "rmse  = ensemble_evaluator.evaluate(\n",
    "    ground_truth=test_data,\n",
    "    predict=ensemble_test_result,\n",
    "    metric=ForecastMetric.RMSE)\n",
    "print(f\"Ensemble sMAPE: {smape:.3f}\")\n",
    "print(f\"Ensemble RMSE:  {rmse:.3f}\")"
   ]
  }
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