notebooks/latest/6_hybrid_modelling.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using FEDOT for hybrid modeling with custom model tuning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### FEDOT version = 0.7.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "!pip install fedot==0.7.2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Original repository on GitHub](https://github.com/nccr-itmo/FEDOT)\n",
    "\n",
    "This tutorial was prepared by [Natural Systems Simulation Team](https://github.com/ITMO-NSS-team)\n",
    "\n",
    "--- \n",
    "\n",
    "If you want to learn some basic things about FEDOT and time series forecasting, you can use [this notebook](3_intro_ts_forecasting.ipynb)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Additional imports \n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from hyperopt import hp\n",
    "from sklearn.linear_model import Ridge\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "# Imports for creating plots\n",
    "import matplotlib.pyplot as plt\n",
    "from pylab import rcParams\n",
    "rcParams['figure.figsize'] = 18, 7\n",
    "\n",
    "# Pipeline and nodes\n",
    "from fedot.core.pipelines.node import PrimaryNode, SecondaryNode\n",
    "from fedot.core.pipelines.pipeline import Pipeline\n",
    "\n",
    "# Data\n",
    "from fedot.core.repository.dataset_types import DataTypesEnum\n",
    "from fedot.core.data.data import InputData\n",
    "from fedot.core.data.data_split import train_test_data_setup\n",
    "\n",
    "# Tasks\n",
    "from fedot.core.repository.tasks import TaskTypesEnum, Task, TsForecastingParams\n",
    "\n",
    "#Tuning\n",
    "from fedot.core.pipelines.tuning.search_space import PipelineSearchSpace\n",
    "from golem.core.tuning.simultaneous import SimultaneousTuner\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import logging\n",
    "logging.raiseExceptions = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Read the file\n",
    "df = pd.read_csv('../data/metocean.csv')\n",
    "\n",
    "plt.plot(np.arange(len(df['value'])), df['value'])\n",
    "plt.grid()\n",
    "plt.show()\n",
    "\n",
    "# Specify forecast length\n",
    "len_forecast = 50\n",
    "\n",
    "# Got univariate time series as numpy array\n",
    "time_series = np.array(df['value'])\n",
    "\n",
    "# Wrapp data into InputData\n",
    "task = Task(TaskTypesEnum.ts_forecasting, TsForecastingParams(forecast_length=len_forecast))\n",
    "\n",
    "# Split data into train and test\n",
    "train_input, predict_input = train_test_data_setup(InputData(idx=range(len(time_series)),\n",
    "                                                                 features=time_series,\n",
    "                                                                 target=time_series,\n",
    "                                                                 task=Task(TaskTypesEnum.ts_forecasting,\n",
    "                                                                           TsForecastingParams(forecast_length=len_forecast)),\n",
    "                                                                 data_type=DataTypesEnum.ts))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have a time series of sea level. Based on this time series we will conduct the case of forecasting with custom model implantation in the pipeline."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Custom model specification"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some custom models have necessary step of fitting, but some of them such as domain specific models doesn't need fitting at all. For using with FEDOT custom model should be wrapped into function that provides fit (if it is necessary) and predict steps. Fit step returns model object, predict step returns predicted values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's prepare a function for imitation custom model without fitting\n",
    "def domain_model_imitation_predict(fitted_model: any, idx: np.array, predict_data: np.array, params: dict):\n",
    "    a = params.get('a')\n",
    "    b = params.get('b')\n",
    "    shape = predict_data.shape\n",
    "    result = np.random.rand(*shape) * a + b\n",
    "    # Available output_type's 'table', 'ts', 'image', 'text'\n",
    "    return result, 'table'\n",
    "\n",
    "# Function for custom regression model imitation (fit)\n",
    "def custom_ml_model_imitation_fit(idx: np.array, features: np.array, target: np.array, params: dict):\n",
    "    alpha = params.get('alpha')\n",
    "    reg = Ridge(alpha=alpha)\n",
    "    reg.fit(features, target)\n",
    "    return reg\n",
    "\n",
    "# Function for custom regression model imitation (predict)\n",
    "def custom_ml_model_imitation_predict(fitted_model: any, idx: np.array, features: np.array, params: dict):\n",
    "    res = fitted_model.predict(features)\n",
    "    return res, 'table'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Including custom model into pipeline is provided by using custom parameters of node. Also there should be indicated parameters of model for tune and initial approximation for them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's prepare a function for pipeline with custom node without fitting\n",
    "def get_domain_pipeline():\n",
    "    \"\"\"\n",
    "        Pipeline looking like this\n",
    "        lagged -> custom -> ridge\n",
    "    \"\"\"\n",
    "    lagged_node = PrimaryNode('lagged')\n",
    "    lagged_node.parameters = {'window_size': 10}\n",
    "\n",
    "    # For custom model params as initial approximation and model as function is necessary\n",
    "    custom_node = SecondaryNode('custom', nodes_from=[lagged_node])\n",
    "    custom_node.parameters = {\"a\": -50, \"b\": 500, 'model_predict': domain_model_imitation_predict}\n",
    "\n",
    "    node_final = SecondaryNode('ridge', nodes_from=[custom_node])\n",
    "    pipeline = Pipeline(node_final)\n",
    "\n",
    "    return pipeline\n",
    "\n",
    "# Function for pipeline with custom node with fitting\n",
    "def get_fitting_custom_pipeline():\n",
    "    \"\"\"\n",
    "        Pipeline looking like this\n",
    "        lagged -> custom -> ridge\n",
    "    \"\"\"\n",
    "    lagged_node = PrimaryNode('lagged')\n",
    "    lagged_node.parameters = {'window_size': 10}\n",
    "\n",
    "    # For custom model params as initial approximation and model as function is necessary\n",
    "    custom_node = SecondaryNode('custom', nodes_from=[lagged_node])\n",
    "    custom_node.parameters = {'alpha': 5,\n",
    "                                 'model_predict': custom_ml_model_imitation_predict,\n",
    "                                 'model_fit': custom_ml_model_imitation_fit}\n",
    "\n",
    "    node_final = SecondaryNode('lasso', nodes_from=[custom_node])\n",
    "    pipeline = Pipeline(node_final)\n",
    "\n",
    "    return pipeline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For pipeline tuning search space of custom model parameters should be specified. Hyperopt wrapper is used for that."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Function for prediction with/without fitting custom model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from fedot.core.pipelines.tuning.tuner_builder import TunerBuilder\n",
    "from fedot.core.repository.quality_metrics_repository import \\\n",
    "    MetricsRepository, RegressionMetricsEnum\n",
    "\n",
    "\n",
    "def run_pipeline_tuning(pipeline_type):\n",
    "\n",
    "    if pipeline_type == 'with_fit':\n",
    "        pipeline = get_fitting_custom_pipeline()\n",
    "        # Setting custom search space for tuner (necessary)\n",
    "        # model and output_type should be wrapped into hyperopt\n",
    "        custom_search_space = {\n",
    "            'custom': {\n",
    "                'alpha': {\n",
    "                    'hyperopt-dist': hp.uniform,\n",
    "                    'sampling-scope': [0.01, 10],\n",
    "                    'type': 'continuous'\n",
    "                },\n",
    "                'model_predict': {\n",
    "                    'hyperopt-dist': hp.choice,\n",
    "                    'sampling-scope': [[custom_ml_model_imitation_predict]],\n",
    "                    'type': 'categorical'\n",
    "                },\n",
    "                'model_fit': {\n",
    "                    'hyperopt-dist': hp.choice,\n",
    "                    'sampling-scope': [[custom_ml_model_imitation_fit]],\n",
    "                    'type': 'categorical'\n",
    "                }\n",
    "            }\n",
    "        }\n",
    "    elif pipeline_type == 'without_fit':\n",
    "        pipeline = get_domain_pipeline()\n",
    "        # Setting custom search space for tuner (necessary)\n",
    "        # model and output_type should be wrapped into hyperopt\n",
    "        custom_search_space = {\n",
    "            'custom': {\n",
    "                'a': {\n",
    "                    'hyperopt-dist': hp.uniform,\n",
    "                    'sampling-scope': [-100, 100],\n",
    "                    'type': 'discrete'\n",
    "                },\n",
    "                'b': {\n",
    "                    'hyperopt-dist': hp.uniform,\n",
    "                    'sampling-scope': [0, 1000],\n",
    "                    'type': 'discrete'\n",
    "                },\n",
    "                'model_predict': {\n",
    "                    'hyperopt-dist': hp.choice,\n",
    "                    'sampling-scope': [[domain_model_imitation_predict]],\n",
    "                    'type': 'categorical'\n",
    "                }\n",
    "            }\n",
    "        }\n",
    "    pipeline.fit_from_scratch(train_input)\n",
    "    pipeline.print_structure()\n",
    "    # Get prediction with initial approximation\n",
    "    predicted_before_tuning = pipeline.predict(predict_input).predict\n",
    "\n",
    "    replace_default_search_space = True\n",
    "\n",
    "    # Start tuning all nodes in the pipeline \n",
    "    tuner = (\n",
    "        TunerBuilder(train_input.task)\n",
    "            .with_tuner(SimultaneousTuner)\n",
    "            .with_metric(RegressionMetricsEnum.MSE)\n",
    "            .with_iterations(50)\n",
    "            .with_cv_folds(None)\n",
    "            .with_validation_blocks(3)\n",
    "            .with_search_space(PipelineSearchSpace(custom_search_space=custom_search_space,\n",
    "                                                   replace_default_search_space=replace_default_search_space))\n",
    "            .build(train_input)\n",
    "    )\n",
    "    tuned_pipeline = tuner.tune(pipeline)\n",
    "    \n",
    "    # Fit pipeline on the entire train data\n",
    "    pipeline.fit(train_input)\n",
    "    # Predict tuned pipeline\n",
    "    predicted_values = pipeline.predict(predict_input).predict\n",
    "    pipeline.print_structure()\n",
    "    return predicted_before_tuning, predicted_values, predict_input.target\n",
    "\n",
    "def plot_results(predicted_before_tuning, predicted_values, target):\n",
    "    plt.plot(np.arange(len(predicted_before_tuning[0])), predicted_before_tuning[0], label='Before tuning')\n",
    "    plt.plot(np.arange(len(predicted_values[0])), predicted_values[0], label='After tuning')\n",
    "    plt.plot(np.arange(len(target)), target, label='Real')\n",
    "    plt.legend()\n",
    "    plt.grid()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Case with using model with fitting "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pipeline structure:\n",
      "{'depth': 3, 'length': 3, 'nodes': [lasso, custom, lagged]}\n",
      "lasso - {}\n",
      "custom - {'alpha': 5, 'model_predict': <function custom_ml_model_imitation_predict at 0x000002689F6A99D0>, 'model_fit': <function custom_ml_model_imitation_fit at 0x000002689F6A9940>}\n",
      "lagged - {'window_size': 10}\n",
      "2023-10-06 10:33:04,774 - DataSourceSplitter - Hold out validation is applied.\n",
      "2023-10-06 10:33:04,776 - SimultaneousTuner - Hyperparameters optimization start: estimation of metric for initial graph\n",
      "2023-10-06 10:33:05,023 - SimultaneousTuner - Initial graph: {'depth': 3, 'length': 3, 'nodes': [lasso, custom, lagged]}\n",
      "lasso - {}\n",
      "custom - {'alpha': 5, 'model_predict': <function custom_ml_model_imitation_predict at 0x000002689F6A99D0>, 'model_fit': <function custom_ml_model_imitation_fit at 0x000002689F6A9940>}\n",
      "lagged - {'window_size': 10} \n",
      "Initial metric: [241.516]\n",
      "  0%|          | 0/5 [00:00<?, ?trial/s, best loss=?]2023-10-06 10:33:05,030 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:05,031 - TPE using 0 trials\n",
      " 20%|██        | 1/5 [00:00<00:00,  5.61trial/s, best loss: 242.86422554605878]2023-10-06 10:33:05,209 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:05,210 - TPE using 1/1 trials with best loss 242.864226\n",
      " 40%|████      | 2/5 [00:00<00:00,  6.01trial/s, best loss: 242.86422554605878]2023-10-06 10:33:05,367 - build_posterior_wrapper took 0.001997 seconds\n",
      "2023-10-06 10:33:05,368 - TPE using 2/2 trials with best loss 242.864226\n",
      " 60%|██████    | 3/5 [00:00<00:00,  6.24trial/s, best loss: 242.86422554605878]2023-10-06 10:33:05,520 - build_posterior_wrapper took 0.001997 seconds\n",
      "2023-10-06 10:33:05,521 - TPE using 3/3 trials with best loss 242.864226\n",
      " 80%|████████  | 4/5 [00:00<00:00,  6.12trial/s, best loss: 242.86422554605878]2023-10-06 10:33:05,689 - build_posterior_wrapper took 0.001997 seconds\n",
      "2023-10-06 10:33:05,691 - TPE using 4/4 trials with best loss 242.864226\n",
      "100%|██████████| 5/5 [00:00<00:00,  6.25trial/s, best loss: 242.86422554605878]\n",
      " 10%|█         | 5/50 [00:00<?, ?trial/s, best loss=?]2023-10-06 10:33:05,834 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:05,835 - TPE using 5/5 trials with best loss 242.864226\n",
      " 12%|█▏        | 6/50 [00:00<00:10,  4.08trial/s, best loss: 242.86422554605878]2023-10-06 10:33:06,080 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:06,081 - TPE using 6/6 trials with best loss 242.864226\n",
      " 14%|█▍        | 7/50 [00:00<00:19,  2.17trial/s, best loss: 242.86422554605878]2023-10-06 10:33:06,693 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:06,694 - TPE using 7/7 trials with best loss 242.864226\n",
      "2023-10-06 10:33:06,699 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 369 to 240.\n",
      " 16%|█▌        | 8/50 [00:01<00:25,  1.67trial/s, best loss: 242.86422554605878]2023-10-06 10:33:07,452 - build_posterior_wrapper took 0.001997 seconds\n",
      "2023-10-06 10:33:07,454 - TPE using 8/8 trials with best loss 242.864226\n",
      " 18%|█▊        | 9/50 [00:01<00:17,  2.31trial/s, best loss: 242.86422554605878]2023-10-06 10:33:07,635 - build_posterior_wrapper took 0.002000 seconds\n",
      "2023-10-06 10:33:07,637 - TPE using 9/9 trials with best loss 242.864226\n",
      "2023-10-06 10:33:07,642 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 322 to 240.\n",
      " 20%|██        | 10/50 [00:02<00:20,  1.93trial/s, best loss: 242.86422554605878]2023-10-06 10:33:08,300 - build_posterior_wrapper took 0.001997 seconds\n",
      "2023-10-06 10:33:08,301 - TPE using 10/10 trials with best loss 242.864226\n",
      "2023-10-06 10:33:08,306 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 372 to 240.\n",
      " 22%|██▏       | 11/50 [00:03<00:22,  1.74trial/s, best loss: 242.86422554605878]2023-10-06 10:33:08,991 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:08,992 - TPE using 11/11 trials with best loss 242.864226\n",
      "2023-10-06 10:33:08,996 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 366 to 240.\n",
      " 24%|██▍       | 12/50 [00:03<00:23,  1.64trial/s, best loss: 242.86422554605878]2023-10-06 10:33:09,668 - build_posterior_wrapper took 0.002000 seconds\n",
      "2023-10-06 10:33:09,668 - TPE using 12/12 trials with best loss 242.864226\n",
      "2023-10-06 10:33:09,673 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 337 to 240.\n",
      " 26%|██▌       | 13/50 [00:04<00:25,  1.43trial/s, best loss: 242.86422554605878]2023-10-06 10:33:10,556 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:10,557 - TPE using 13/13 trials with best loss 242.864226\n",
      "2023-10-06 10:33:10,562 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 390 to 240.\n",
      " 28%|██▊       | 14/50 [00:05<00:24,  1.46trial/s, best loss: 242.86422554605878]2023-10-06 10:33:11,209 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:11,210 - TPE using 14/14 trials with best loss 242.864226\n",
      "2023-10-06 10:33:11,215 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 263 to 240.\n",
      " 30%|███       | 15/50 [00:06<00:23,  1.47trial/s, best loss: 242.86422554605878]2023-10-06 10:33:11,884 - build_posterior_wrapper took 0.002004 seconds\n",
      "2023-10-06 10:33:11,885 - TPE using 15/15 trials with best loss 242.864226\n",
      "2023-10-06 10:33:11,890 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 479 to 240.\n",
      " 32%|███▏      | 16/50 [00:06<00:22,  1.49trial/s, best loss: 242.86422554605878]2023-10-06 10:33:12,535 - build_posterior_wrapper took 0.001996 seconds\n",
      "2023-10-06 10:33:12,536 - TPE using 16/16 trials with best loss 242.864226\n",
      "2023-10-06 10:33:12,541 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 408 to 240.\n",
      " 34%|███▍      | 17/50 [00:07<00:22,  1.45trial/s, best loss: 242.86422554605878]2023-10-06 10:33:13,272 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:13,274 - TPE using 17/17 trials with best loss 242.864226\n",
      "2023-10-06 10:33:13,278 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 337 to 240.\n",
      " 36%|███▌      | 18/50 [00:08<00:21,  1.46trial/s, best loss: 242.86422554605878]2023-10-06 10:33:13,941 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:13,943 - TPE using 18/18 trials with best loss 242.864226\n",
      " 38%|███▊      | 19/50 [00:08<00:16,  1.93trial/s, best loss: 165.46301305413766]2023-10-06 10:33:14,077 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:14,079 - TPE using 19/19 trials with best loss 165.463013\n",
      "2023-10-06 10:33:14,083 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 485 to 240.\n",
      " 40%|████      | 20/50 [00:08<00:17,  1.76trial/s, best loss: 165.46301305413766]2023-10-06 10:33:14,757 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:14,759 - TPE using 20/20 trials with best loss 165.463013\n",
      " 42%|████▏     | 21/50 [00:09<00:15,  1.92trial/s, best loss: 165.46301305413766]2023-10-06 10:33:15,169 - build_posterior_wrapper took 0.002000 seconds\n",
      "2023-10-06 10:33:15,170 - TPE using 21/21 trials with best loss 165.463013\n",
      " 44%|████▍     | 22/50 [00:09<00:12,  2.16trial/s, best loss: 165.46301305413766]2023-10-06 10:33:15,501 - build_posterior_wrapper took 0.002000 seconds\n",
      "2023-10-06 10:33:15,502 - TPE using 22/22 trials with best loss 165.463013\n",
      " 46%|████▌     | 23/50 [00:09<00:09,  2.71trial/s, best loss: 165.46301305413766]2023-10-06 10:33:15,647 - build_posterior_wrapper took 0.002005 seconds\n",
      "2023-10-06 10:33:15,649 - TPE using 23/23 trials with best loss 165.463013\n",
      " 48%|████▊     | 24/50 [00:10<00:08,  3.12trial/s, best loss: 165.46301305413766]2023-10-06 10:33:15,857 - build_posterior_wrapper took 0.003998 seconds\n",
      "2023-10-06 10:33:15,859 - TPE using 24/24 trials with best loss 165.463013\n",
      " 50%|█████     | 25/50 [00:10<00:07,  3.25trial/s, best loss: 165.46301305413766]2023-10-06 10:33:16,135 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:16,136 - TPE using 25/25 trials with best loss 165.463013\n",
      " 52%|█████▏    | 26/50 [00:10<00:07,  3.42trial/s, best loss: 165.46301305413766]2023-10-06 10:33:16,391 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:16,393 - TPE using 26/26 trials with best loss 165.463013\n",
      " 54%|█████▍    | 27/50 [00:10<00:05,  3.86trial/s, best loss: 165.46301305413766]2023-10-06 10:33:16,572 - build_posterior_wrapper took 0.002001 seconds\n",
      "2023-10-06 10:33:16,573 - TPE using 27/27 trials with best loss 165.463013\n",
      " 56%|█████▌    | 28/50 [00:11<00:06,  3.40trial/s, best loss: 165.46301305413766]2023-10-06 10:33:16,947 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:16,948 - TPE using 28/28 trials with best loss 165.463013\n",
      " 58%|█████▊    | 29/50 [00:11<00:05,  3.74trial/s, best loss: 165.46301305413766]2023-10-06 10:33:17,153 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:17,155 - TPE using 29/29 trials with best loss 165.463013\n",
      " 60%|██████    | 30/50 [00:11<00:05,  3.35trial/s, best loss: 165.46301305413766]2023-10-06 10:33:17,524 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:17,525 - TPE using 30/30 trials with best loss 165.463013\n",
      " 62%|██████▏   | 31/50 [00:11<00:04,  3.97trial/s, best loss: 165.46301305413766]2023-10-06 10:33:17,668 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:17,670 - TPE using 31/31 trials with best loss 165.463013\n",
      " 64%|██████▍   | 32/50 [00:12<00:06,  2.75trial/s, best loss: 165.46301305413766]2023-10-06 10:33:18,291 - build_posterior_wrapper took 0.002000 seconds\n",
      "2023-10-06 10:33:18,292 - TPE using 32/32 trials with best loss 165.463013\n",
      "2023-10-06 10:33:18,306 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 437 to 240.\n",
      " 66%|██████▌   | 33/50 [00:13<00:08,  2.04trial/s, best loss: 165.46301305413766]2023-10-06 10:33:19,074 - build_posterior_wrapper took 0.002996 seconds\n",
      "2023-10-06 10:33:19,075 - TPE using 33/33 trials with best loss 165.463013\n",
      " 68%|██████▊   | 34/50 [00:13<00:06,  2.46trial/s, best loss: 165.46301305413766]2023-10-06 10:33:19,287 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:19,289 - TPE using 34/34 trials with best loss 165.463013\n",
      " 70%|███████   | 35/50 [00:13<00:06,  2.49trial/s, best loss: 165.46301305413766]2023-10-06 10:33:19,680 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:19,681 - TPE using 35/35 trials with best loss 165.463013\n",
      "2023-10-06 10:33:19,694 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 294 to 240.\n",
      " 72%|███████▏  | 36/50 [00:14<00:07,  2.00trial/s, best loss: 165.46301305413766]2023-10-06 10:33:20,410 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:20,412 - TPE using 36/36 trials with best loss 165.463013\n",
      " 74%|███████▍  | 37/50 [00:15<00:06,  2.01trial/s, best loss: 165.46301305413766]2023-10-06 10:33:20,903 - build_posterior_wrapper took 0.002004 seconds\n",
      "2023-10-06 10:33:20,904 - TPE using 37/37 trials with best loss 165.463013\n",
      " 76%|███████▌  | 38/50 [00:15<00:04,  2.46trial/s, best loss: 164.43724697712824]2023-10-06 10:33:21,097 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:21,098 - TPE using 38/38 trials with best loss 164.437247\n",
      " 78%|███████▊  | 39/50 [00:15<00:03,  2.86trial/s, best loss: 164.43724697712824]2023-10-06 10:33:21,312 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:21,314 - TPE using 39/39 trials with best loss 164.437247\n",
      " 80%|████████  | 40/50 [00:15<00:03,  2.50trial/s, best loss: 164.43724697712824]2023-10-06 10:33:21,827 - build_posterior_wrapper took 0.002000 seconds\n",
      "2023-10-06 10:33:21,828 - TPE using 40/40 trials with best loss 164.437247\n",
      " 82%|████████▏ | 41/50 [00:16<00:03,  2.66trial/s, best loss: 164.43724697712824]2023-10-06 10:33:22,150 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:22,151 - TPE using 41/41 trials with best loss 164.437247\n",
      " 84%|████████▍ | 42/50 [00:16<00:02,  3.02trial/s, best loss: 164.43724697712824]2023-10-06 10:33:22,376 - build_posterior_wrapper took 0.002005 seconds\n",
      "2023-10-06 10:33:22,377 - TPE using 42/42 trials with best loss 164.437247\n",
      " 86%|████████▌ | 43/50 [00:17<00:02,  2.37trial/s, best loss: 164.43724697712824]2023-10-06 10:33:23,010 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:23,011 - TPE using 43/43 trials with best loss 164.437247\n",
      " 88%|████████▊ | 44/50 [00:17<00:02,  2.28trial/s, best loss: 164.43724697712824]2023-10-06 10:33:23,490 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:23,492 - TPE using 44/44 trials with best loss 164.437247\n",
      " 90%|█████████ | 45/50 [00:17<00:01,  2.51trial/s, best loss: 164.43724697712824]2023-10-06 10:33:23,795 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:23,796 - TPE using 45/45 trials with best loss 164.437247\n",
      "2023-10-06 10:33:23,811 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 255 to 240.\n",
      " 92%|█████████▏| 46/50 [00:18<00:01,  2.06trial/s, best loss: 164.43724697712824]2023-10-06 10:33:24,483 - build_posterior_wrapper took 0.001997 seconds\n",
      "2023-10-06 10:33:24,484 - TPE using 46/46 trials with best loss 164.437247\n",
      "2023-10-06 10:33:24,499 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 304 to 240.\n",
      " 94%|█████████▍| 47/50 [00:19<00:01,  1.82trial/s, best loss: 164.43724697712824]2023-10-06 10:33:25,183 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:25,184 - TPE using 47/47 trials with best loss 164.437247\n",
      "2023-10-06 10:33:25,199 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 448 to 240.\n",
      " 96%|█████████▌| 48/50 [00:20<00:01,  1.70trial/s, best loss: 164.43724697712824]2023-10-06 10:33:25,857 - build_posterior_wrapper took 0.001997 seconds\n",
      "2023-10-06 10:33:25,858 - TPE using 48/48 trials with best loss 164.437247\n",
      " 98%|█████████▊| 49/50 [00:20<00:00,  2.01trial/s, best loss: 164.43724697712824]2023-10-06 10:33:26,144 - build_posterior_wrapper took 0.002998 seconds\n",
      "2023-10-06 10:33:26,145 - TPE using 49/49 trials with best loss 164.437247\n",
      "2023-10-06 10:33:26,161 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 277 to 240.\n",
      "100%|██████████| 50/50 [00:20<00:00,  2.14trial/s, best loss: 164.43724697712824]\n",
      "2023-10-06 10:33:26,820 - SimultaneousTuner - Hyperparameters optimization finished\n",
      "2023-10-06 10:33:27,073 - SimultaneousTuner - Return tuned graph due to the fact that obtained metric 164.437 equal or better than initial (+ 0.05% deviation) 241.395\n",
      "2023-10-06 10:33:27,074 - SimultaneousTuner - Final graph: {'depth': 3, 'length': 3, 'nodes': [lasso, custom, lagged]}\n",
      "lasso - {'alpha': 1.0983510536759178}\n",
      "custom - {'alpha': 3.0896279976959677, 'model_predict': <function custom_ml_model_imitation_predict at 0x000002689F6A99D0>, 'model_fit': <function custom_ml_model_imitation_fit at 0x000002689F6A9940>}\n",
      "lagged - {'window_size': 28}\n",
      "2023-10-06 10:33:27,075 - SimultaneousTuner - Final metric: 164.437\n",
      "Pipeline structure:\n",
      "{'depth': 3, 'length': 3, 'nodes': [lasso, custom, lagged]}\n",
      "lasso - {}\n",
      "custom - {'alpha': 5, 'model_predict': <function custom_ml_model_imitation_predict at 0x000002689F6A99D0>, 'model_fit': <function custom_ml_model_imitation_fit at 0x000002689F6A9940>}\n",
      "lagged - {'window_size': 10}\n"
     ]
    }
   ],
   "source": [
    "predicted_before_tuning, predicted_values, target = run_pipeline_tuning(pipeline_type='with_fit')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_results(predicted_before_tuning, predicted_values, target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pipeline structure:\n",
      "{'depth': 3, 'length': 3, 'nodes': [ridge, custom, lagged]}\n",
      "ridge - {}\n",
      "custom - {'a': -50, 'b': 500, 'model_predict': <function domain_model_imitation_predict at 0x000002689F6A98B0>}\n",
      "lagged - {'window_size': 10}\n",
      "2023-10-06 10:33:27,647 - DataSourceSplitter - Hold out validation is applied.\n",
      "2023-10-06 10:33:27,650 - SimultaneousTuner - Hyperparameters optimization start: estimation of metric for initial graph\n",
      "2023-10-06 10:33:27,791 - SimultaneousTuner - Initial graph: {'depth': 3, 'length': 3, 'nodes': [ridge, custom, lagged]}\n",
      "ridge - {}\n",
      "custom - {'a': -50, 'b': 500, 'model_predict': <function domain_model_imitation_predict at 0x000002689F6A98B0>}\n",
      "lagged - {'window_size': 10} \n",
      "Initial metric: [38109.959]\n",
      "  0%|          | 0/5 [00:00<?, ?trial/s, best loss=?]2023-10-06 10:33:27,800 - build_posterior_wrapper took 0.002000 seconds\n",
      "2023-10-06 10:33:27,801 - TPE using 0 trials\n",
      "2023-10-06 10:33:27,895 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:27,897 - TPE using 1/1 trials with best loss 30480.276760\n",
      " 40%|████      | 2/5 [00:00<00:00, 10.70trial/s, best loss: 30480.27675951761]2023-10-06 10:33:27,989 - build_posterior_wrapper took 0.002999 seconds\n",
      "2023-10-06 10:33:27,990 - TPE using 2/2 trials with best loss 30480.276760\n",
      "2023-10-06 10:33:28,077 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:28,079 - TPE using 3/3 trials with best loss 30480.276760\n",
      " 80%|████████  | 4/5 [00:00<00:00, 11.05trial/s, best loss: 30480.27675951761]2023-10-06 10:33:28,165 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:28,166 - TPE using 4/4 trials with best loss 30480.276760\n",
      "100%|██████████| 5/5 [00:00<00:00, 11.05trial/s, best loss: 30480.27675951761]\n",
      " 10%|█         | 5/50 [00:00<?, ?trial/s, best loss=?]2023-10-06 10:33:28,258 - build_posterior_wrapper took 0.002001 seconds\n",
      "2023-10-06 10:33:28,260 - TPE using 5/5 trials with best loss 30480.276760\n",
      "2023-10-06 10:33:28,264 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 272 to 240.\n",
      " 12%|█▏        | 6/50 [00:00<00:28,  1.53trial/s, best loss: 636.4213823493861]2023-10-06 10:33:28,914 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:28,915 - TPE using 6/6 trials with best loss 636.421382\n",
      " 14%|█▍        | 7/50 [00:00<00:18,  2.29trial/s, best loss: 636.4213823493861]2023-10-06 10:33:29,197 - build_posterior_wrapper took 0.002998 seconds\n",
      "2023-10-06 10:33:29,197 - TPE using 7/7 trials with best loss 636.421382\n",
      "2023-10-06 10:33:29,202 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 391 to 240.\n",
      " 16%|█▌        | 8/50 [00:01<00:22,  1.90trial/s, best loss: 636.4213823493861]2023-10-06 10:33:29,832 - build_posterior_wrapper took 0.001997 seconds\n",
      "2023-10-06 10:33:29,833 - TPE using 8/8 trials with best loss 636.421382\n",
      "2023-10-06 10:33:29,837 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 446 to 240.\n",
      " 18%|█▊        | 9/50 [00:02<00:24,  1.69trial/s, best loss: 636.4213823493861]2023-10-06 10:33:30,521 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:30,523 - TPE using 9/9 trials with best loss 636.421382\n",
      " 20%|██        | 10/50 [00:02<00:21,  1.83trial/s, best loss: 636.4213823493861]2023-10-06 10:33:30,989 - build_posterior_wrapper took 0.001997 seconds\n",
      "2023-10-06 10:33:30,991 - TPE using 10/10 trials with best loss 636.421382\n",
      "2023-10-06 10:33:31,073 - build_posterior_wrapper took 0.002000 seconds\n",
      "2023-10-06 10:33:31,074 - TPE using 11/11 trials with best loss 495.105701\n",
      " 24%|██▍       | 12/50 [00:03<00:16,  2.29trial/s, best loss: 495.1057010159953]2023-10-06 10:33:31,648 - build_posterior_wrapper took 0.001997 seconds\n",
      "2023-10-06 10:33:31,649 - TPE using 12/12 trials with best loss 495.105701\n",
      "2023-10-06 10:33:31,654 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 400 to 240.\n",
      " 26%|██▌       | 13/50 [00:04<00:18,  2.02trial/s, best loss: 495.1057010159953]2023-10-06 10:33:32,301 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:32,303 - TPE using 13/13 trials with best loss 495.105701\n",
      " 28%|██▊       | 14/50 [00:04<00:15,  2.34trial/s, best loss: 495.1057010159953]2023-10-06 10:33:32,551 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:32,553 - TPE using 14/14 trials with best loss 495.105701\n",
      " 30%|███       | 15/50 [00:04<00:13,  2.68trial/s, best loss: 495.1057010159953]2023-10-06 10:33:32,789 - build_posterior_wrapper took 0.003998 seconds\n",
      "2023-10-06 10:33:32,790 - TPE using 15/15 trials with best loss 495.105701\n",
      "2023-10-06 10:33:32,796 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 443 to 240.\n",
      " 32%|███▏      | 16/50 [00:05<00:16,  2.06trial/s, best loss: 495.1057010159953]2023-10-06 10:33:33,556 - build_posterior_wrapper took 0.002995 seconds\n",
      "2023-10-06 10:33:33,557 - TPE using 16/16 trials with best loss 495.105701\n",
      " 34%|███▍      | 17/50 [00:05<00:13,  2.41trial/s, best loss: 495.1057010159953]2023-10-06 10:33:33,796 - build_posterior_wrapper took 0.002010 seconds\n",
      "2023-10-06 10:33:33,797 - TPE using 17/17 trials with best loss 495.105701\n",
      " 36%|███▌      | 18/50 [00:05<00:12,  2.66trial/s, best loss: 495.1057010159953]2023-10-06 10:33:34,080 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:34,081 - TPE using 18/18 trials with best loss 495.105701\n",
      "2023-10-06 10:33:34,085 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 447 to 240.\n",
      " 38%|███▊      | 19/50 [00:06<00:14,  2.20trial/s, best loss: 495.1057010159953]2023-10-06 10:33:34,722 - build_posterior_wrapper took 0.002996 seconds\n",
      "2023-10-06 10:33:34,723 - TPE using 19/19 trials with best loss 495.105701\n",
      "2023-10-06 10:33:34,728 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 487 to 240.\n",
      " 40%|████      | 20/50 [00:07<00:15,  1.90trial/s, best loss: 495.1057010159953]2023-10-06 10:33:35,422 - build_posterior_wrapper took 0.002997 seconds\n",
      "2023-10-06 10:33:35,423 - TPE using 20/20 trials with best loss 495.105701\n",
      "2023-10-06 10:33:35,436 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 319 to 240.\n",
      " 42%|████▏     | 21/50 [00:07<00:16,  1.77trial/s, best loss: 495.1057010159953]2023-10-06 10:33:36,072 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:36,073 - TPE using 21/21 trials with best loss 495.105701\n",
      " 44%|████▍     | 22/50 [00:07<00:12,  2.32trial/s, best loss: 495.1057010159953]2023-10-06 10:33:36,187 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:36,189 - TPE using 22/22 trials with best loss 495.105701\n",
      "2023-10-06 10:33:36,202 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 492 to 240.\n",
      " 46%|████▌     | 23/50 [00:08<00:13,  2.04trial/s, best loss: 495.1057010159953]2023-10-06 10:33:36,821 - build_posterior_wrapper took 0.002001 seconds\n",
      "2023-10-06 10:33:36,823 - TPE using 23/23 trials with best loss 495.105701\n",
      " 48%|████▊     | 24/50 [00:08<00:12,  2.12trial/s, best loss: 495.1057010159953]2023-10-06 10:33:37,248 - build_posterior_wrapper took 0.002000 seconds\n",
      "2023-10-06 10:33:37,249 - TPE using 24/24 trials with best loss 495.105701\n",
      "2023-10-06 10:33:37,263 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 346 to 240.\n",
      " 50%|█████     | 25/50 [00:09<00:13,  1.87trial/s, best loss: 495.1057010159953]2023-10-06 10:33:37,933 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:37,935 - TPE using 25/25 trials with best loss 495.105701\n",
      "2023-10-06 10:33:37,948 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 436 to 240.\n",
      " 52%|█████▏    | 26/50 [00:10<00:14,  1.67trial/s, best loss: 495.1057010159953]2023-10-06 10:33:38,674 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:38,676 - TPE using 26/26 trials with best loss 495.105701\n",
      " 54%|█████▍    | 27/50 [00:10<00:10,  2.20trial/s, best loss: 495.1057010159953]2023-10-06 10:33:38,793 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:38,794 - TPE using 27/27 trials with best loss 495.105701\n",
      "2023-10-06 10:33:38,888 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:38,889 - TPE using 28/28 trials with best loss 495.105701\n",
      " 58%|█████▊    | 29/50 [00:10<00:07,  2.86trial/s, best loss: 495.1057010159953]2023-10-06 10:33:39,249 - build_posterior_wrapper took 0.002004 seconds\n",
      "2023-10-06 10:33:39,251 - TPE using 29/29 trials with best loss 495.105701\n",
      "2023-10-06 10:33:39,265 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 391 to 240.\n",
      " 60%|██████    | 30/50 [00:11<00:08,  2.37trial/s, best loss: 495.1057010159953]2023-10-06 10:33:39,889 - build_posterior_wrapper took 0.002000 seconds\n",
      "2023-10-06 10:33:39,890 - TPE using 30/30 trials with best loss 495.105701\n",
      "2023-10-06 10:33:39,904 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 366 to 240.\n",
      " 62%|██████▏   | 31/50 [00:12<00:09,  2.09trial/s, best loss: 495.1057010159953]2023-10-06 10:33:40,528 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:40,529 - TPE using 31/31 trials with best loss 495.105701\n",
      "2023-10-06 10:33:40,544 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 292 to 240.\n",
      " 64%|██████▍   | 32/50 [00:12<00:09,  1.91trial/s, best loss: 495.1057010159953]2023-10-06 10:33:41,169 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:41,170 - TPE using 32/32 trials with best loss 495.105701\n",
      " 66%|██████▌   | 33/50 [00:13<00:09,  1.74trial/s, best loss: 495.1057010159953]2023-10-06 10:33:41,882 - build_posterior_wrapper took 0.002000 seconds\n",
      "2023-10-06 10:33:41,884 - TPE using 33/33 trials with best loss 495.105701\n",
      "2023-10-06 10:33:41,898 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 253 to 240.\n",
      " 68%|██████▊   | 34/50 [00:14<00:09,  1.69trial/s, best loss: 495.1057010159953]2023-10-06 10:33:42,516 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:42,517 - TPE using 34/34 trials with best loss 495.105701\n",
      " 70%|███████   | 35/50 [00:14<00:08,  1.70trial/s, best loss: 495.1057010159953]2023-10-06 10:33:43,091 - build_posterior_wrapper took 0.001997 seconds\n",
      "2023-10-06 10:33:43,093 - TPE using 35/35 trials with best loss 495.105701\n",
      " 72%|███████▏  | 36/50 [00:15<00:08,  1.69trial/s, best loss: 495.1057010159953]2023-10-06 10:33:43,694 - build_posterior_wrapper took 0.002000 seconds\n",
      "2023-10-06 10:33:43,695 - TPE using 36/36 trials with best loss 495.105701\n",
      " 74%|███████▍  | 37/50 [00:15<00:06,  2.15trial/s, best loss: 495.1057010159953]2023-10-06 10:33:43,855 - build_posterior_wrapper took 0.002997 seconds\n",
      "2023-10-06 10:33:43,856 - TPE using 37/37 trials with best loss 495.105701\n",
      " 76%|███████▌  | 38/50 [00:15<00:05,  2.32trial/s, best loss: 495.1057010159953]2023-10-06 10:33:44,209 - build_posterior_wrapper took 0.002999 seconds\n",
      "2023-10-06 10:33:44,209 - TPE using 38/38 trials with best loss 495.105701\n",
      " 78%|███████▊  | 39/50 [00:16<00:03,  2.99trial/s, best loss: 495.1057010159953]2023-10-06 10:33:44,312 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:44,313 - TPE using 39/39 trials with best loss 495.105701\n",
      "2023-10-06 10:33:44,331 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 282 to 240.\n",
      " 80%|████████  | 40/50 [00:16<00:04,  2.18trial/s, best loss: 495.1057010159953]2023-10-06 10:33:45,063 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:45,065 - TPE using 40/40 trials with best loss 495.105701\n",
      "2023-10-06 10:33:45,081 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 322 to 240.\n",
      " 82%|████████▏ | 41/50 [00:17<00:04,  1.94trial/s, best loss: 495.1057010159953]2023-10-06 10:33:45,709 - build_posterior_wrapper took 0.001993 seconds\n",
      "2023-10-06 10:33:45,710 - TPE using 41/41 trials with best loss 495.105701\n",
      " 84%|████████▍ | 42/50 [00:17<00:03,  2.41trial/s, best loss: 495.1057010159953]2023-10-06 10:33:45,893 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:45,894 - TPE using 42/42 trials with best loss 495.105701\n",
      " 86%|████████▌ | 43/50 [00:18<00:02,  2.46trial/s, best loss: 495.1057010159953]2023-10-06 10:33:46,278 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:46,280 - TPE using 43/43 trials with best loss 495.105701\n",
      " 88%|████████▊ | 44/50 [00:18<00:02,  2.11trial/s, best loss: 495.1057010159953]2023-10-06 10:33:46,912 - build_posterior_wrapper took 0.002001 seconds\n",
      "2023-10-06 10:33:46,913 - TPE using 44/44 trials with best loss 495.105701\n",
      "2023-10-06 10:33:46,931 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 321 to 240.\n",
      " 90%|█████████ | 45/50 [00:19<00:02,  1.90trial/s, best loss: 495.1057010159953]2023-10-06 10:33:47,561 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:47,563 - TPE using 45/45 trials with best loss 495.105701\n",
      " 92%|█████████▏| 46/50 [00:19<00:02,  1.83trial/s, best loss: 495.1057010159953]2023-10-06 10:33:48,156 - build_posterior_wrapper took 0.001999 seconds\n",
      "2023-10-06 10:33:48,157 - TPE using 46/46 trials with best loss 495.105701\n",
      " 94%|█████████▍| 47/50 [00:20<00:01,  2.09trial/s, best loss: 495.1057010159953]2023-10-06 10:33:48,472 - build_posterior_wrapper took 0.002999 seconds\n",
      "2023-10-06 10:33:48,473 - TPE using 47/47 trials with best loss 495.105701\n",
      "2023-10-06 10:33:48,493 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 466 to 240.\n",
      " 96%|█████████▌| 48/50 [00:20<00:01,  1.80trial/s, best loss: 495.1057010159953]2023-10-06 10:33:49,208 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:49,209 - TPE using 48/48 trials with best loss 495.105701\n",
      "2023-10-06 10:33:49,227 - LaggedTransformationImplementation - Warning: window size of lagged transformation was changed from 266 to 240.\n",
      " 98%|█████████▊| 49/50 [00:21<00:00,  1.69trial/s, best loss: 495.1057010159953]2023-10-06 10:33:49,886 - build_posterior_wrapper took 0.001998 seconds\n",
      "2023-10-06 10:33:49,888 - TPE using 49/49 trials with best loss 495.105701\n",
      "100%|██████████| 50/50 [00:21<00:00,  2.07trial/s, best loss: 495.1057010159953]\n",
      "2023-10-06 10:33:50,023 - SimultaneousTuner - Hyperparameters optimization finished\n",
      "2023-10-06 10:33:50,126 - SimultaneousTuner - Return tuned graph due to the fact that obtained metric 435.521 equal or better than initial (+ 0.05% deviation) 38090.904\n",
      "2023-10-06 10:33:50,127 - SimultaneousTuner - Final graph: {'depth': 3, 'length': 3, 'nodes': [ridge, custom, lagged]}\n",
      "ridge - {'alpha': 9.577672895830268}\n",
      "custom - {'a': -16.934975692231106, 'b': 88.21902072400734, 'model_predict': <function domain_model_imitation_predict at 0x000002689F6A98B0>}\n",
      "lagged - {'window_size': 9}\n",
      "2023-10-06 10:33:50,128 - SimultaneousTuner - Final metric: 435.521\n",
      "Pipeline structure:\n",
      "{'depth': 3, 'length': 3, 'nodes': [ridge, custom, lagged]}\n",
      "ridge - {}\n",
      "custom - {'a': -50, 'b': 500, 'model_predict': <function domain_model_imitation_predict at 0x000002689F6A98B0>}\n",
      "lagged - {'window_size': 10}\n"
     ]
    }
   ],
   "source": [
    "predicted_before_tuning, predicted_values, target = run_pipeline_tuning(pipeline_type='without_fit')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_results(predicted_before_tuning, predicted_values, target)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Thus, we demonstrated the use of imitation of custom model with FEDOT for providing the hybrid approach in composition with AutoML."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.17"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}