diff --git a/examples/tutorial/__init__.py b/examples/tutorial/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/examples/tutorial/time_series/ts_classification/classification_example.ipynb b/examples/tutorial/time_series/ts_classification/classification_example.ipynb new file mode 100644 index 000000000..1b2c522a0 --- /dev/null +++ b/examples/tutorial/time_series/ts_classification/classification_example.ipynb @@ -0,0 +1,782 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 120, + "metadata": { + "collapsed": true, + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "\n", + "from fedot_ind.core.architecture.pipelines.abstract_pipeline import AbstractPipeline, ApiTemplate" + ] + }, + { + "cell_type": "code", + "execution_count": 148, + "outputs": [], + "source": [ + "def plot_mean_sample(X,y, labels:list = [], n_channel: int = 1):\n", + " mean_sample = []\n", + " if len(labels) == 0:\n", + " labels = list(np.unique(y))\n", + " for label in labels:\n", + " mean_sample.append(np.mean(X[y == label] , axis=0)) # Данные класса 1\n", + " ax = plt.gca()\n", + " channels = [f'Channel {x}' for x in range(n_channel)]\n", + " df = pd.DataFrame(mean_sample).T\n", + " df.columns = labels\n", + " df.plot(kind ='line',ax=ax)\n", + " plt.legend(fontsize='small')\n", + " plt.legend(loc='upper left', bbox_to_anchor=(1, 1))\n", + " plt.show()" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 149, + "outputs": [], + "source": [ + "def plot_mean_sample_multi(X,y, labels:list = [], n_channel: int = None):\n", + " mean_sample = {}\n", + " if len(labels) == 0:\n", + " labels = list(np.unique(y))\n", + " if n_channel is None:\n", + " n_channel = X.shape[1]\n", + " channels = [f'Channel {x}' for x in range(n_channel)]\n", + " for label in labels:\n", + " mask = y == label\n", + " for chn in range(n_channel):\n", + " mean_sample.update({f'Label_{label}_channel_{chn}':np.mean(X[mask.flatten(),chn,:] , axis=0)}) # Данные класса 1\n", + " ax = plt.gca()\n", + " df = pd.DataFrame(mean_sample)\n", + " df.plot(kind ='line', ax=ax)\n", + " plt.suptitle('Усреднённые семплы по классам')\n", + " plt.legend(fontsize='small')\n", + " plt.legend(loc='upper left', bbox_to_anchor=(1, 1))\n", + " plt.show()" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 140, + "outputs": [], + "source": [ + "finetune = False\n", + "metric_names = ('f1', 'accuracy', 'precision', 'roc_auc')\n", + "api_config = dict(problem='classification',\n", + " metric='accuracy',\n", + " timeout=1,\n", + " pop_size=10,\n", + " with_tunig=False,\n", + " n_jobs=2,\n", + " logging_level=20)\n", + "pipeline_creator = AbstractPipeline(task='classification')" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "# Our datasets and models for experiments" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%% md\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 152, + "outputs": [], + "source": [ + "easy_to_clf_uno = 'ItalyPowerDemand'\n", + "hard_to_clf_uno = 'ElectricDevices'\n", + "easy_to_clf_multi = 'BasicMotions'\n", + "hard_to_clf_multi = 'AtrialFibrillation'\n", + "node_list_model = ['quantile_extractor','logit']" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "# Our datasets" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%% md\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 153, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-10-14 17:24:08,554 - Reading data from D:\\WORK\\Repo\\Industiral\\IndustrialTS\\fedot_ind\\data\\ItalyPowerDemand\n", + "2024-10-14 17:24:08,571 - Data read successfully from local folder\n", + "2024-10-14 17:24:08,573 - Reading data from D:\\WORK\\Repo\\Industiral\\IndustrialTS\\fedot_ind\\data\\ElectricDevices\n", + "2024-10-14 17:24:09,029 - Data read successfully from local folder\n", + "2024-10-14 17:24:09,061 - Reading data from D:\\WORK\\Repo\\Industiral\\IndustrialTS\\fedot_ind\\data\\BasicMotions\n", + "2024-10-14 17:24:09,143 - Data read successfully from local folder\n", + "2024-10-14 17:24:09,150 - Reading data from D:\\WORK\\Repo\\Industiral\\IndustrialTS\\fedot_ind\\data\\AtrialFibrillation\n", + "2024-10-14 17:24:09,175 - Data read successfully from local folder\n" + ] + } + ], + "source": [ + "easy_to_clf_uno_dataset = pipeline_creator.create_input_data(easy_to_clf_uno)\n", + "hard_to_clf_uno_dataset = pipeline_creator.create_input_data(hard_to_clf_uno)\n", + "easy_to_clf_multi_dataset = pipeline_creator.create_input_data(easy_to_clf_multi)\n", + "hard_to_clf_multi_dataset = pipeline_creator.create_input_data(hard_to_clf_multi)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "# Lets Visualise our data" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%% md\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "## Easy to clf data" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%% md\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 154, + "outputs": [ + { + "data": { + "text/plain": "
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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_mean_sample(easy_to_clf_uno_dataset[0].features,easy_to_clf_uno_dataset[0].target)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "## Hard to clf data" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%% md\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 155, + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_mean_sample(hard_to_clf_uno_dataset[0].features,hard_to_clf_uno_dataset[0].target)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 145, + "outputs": [ + { + "data": { + "text/plain": "
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Easy dataset" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%% md\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 131, + "outputs": [], + "source": [ + "stat_pipeline = pipeline_creator.create_pipeline(node_list_model)\n", + "feature_extractor = pipeline_creator.create_pipeline(['quantile_extractor'])\n", + "feature_matrix = feature_extractor.fit(easy_to_clf_uno_dataset[0])\n", + "initial_ts, transformed_ts = pd.DataFrame(feature_matrix.features.squeeze()),pd.DataFrame(feature_matrix.predict.squeeze())\n", + "transformed_ts['target'] = feature_matrix.target" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "node_dict = {'quantile_extractor':{'window_size':10,\n", + " 'stride':50}}" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 132, + "outputs": [ + { + "data": { + "text/plain": " 0 1 2 3 4 5 6 \\\ntarget \n1.0 0.199062 -1.086262 3.0 0.074049 0.882922 1.441785 0.958333 \n2.0 -0.306763 -1.338495 4.0 0.077907 0.776345 1.698066 0.958333 \n\n 7 8 9 ... 18 19 20 \\\ntarget ... \n1.0 0.166667 0.810975 4.220176 ... 0.743115 -1.850372e-17 -0.203329 \n2.0 0.166667 0.915196 4.251629 ... 0.704191 -4.166667e-10 0.154370 \n\n 21 22 23 24 25 26 27 \ntarget \n1.0 0.978945 1.732495 -1.493878 -1.435400 -0.606625 0.835160 1.409857 \n2.0 0.978945 1.330520 -1.521644 -1.508412 -0.882112 0.815954 1.292295 \n\n[2 rows x 28 columns]", + "text/html": "
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target
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" + }, + "execution_count": 132, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "transformed_ts.groupby(by='target').first()" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 146, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-10-14 17:12:42,894 - Reading data from D:\\WORK\\Repo\\Industiral\\IndustrialTS\\fedot_ind\\data\\ItalyPowerDemand\n", + "2024-10-14 17:12:42,904 - Data read successfully from local folder\n", + "2024-10-14 17:12:42,909 - Initialising experiment setup\n", + "2024-10-14 17:12:42,910 - -------------------------------------------------\n", + "2024-10-14 17:12:42,911 - Initialising Industrial Repository\n", + "2024-10-14 17:12:42,912 - -------------------------------------------------\n", + "2024-10-14 17:12:42,912 - Initialising Dask Server\n", + "Creating Dask Server\n", + "2024-10-14 17:12:42,922 - State start\n", + "2024-10-14 17:12:42,934 - Scheduler at: inproc://10.64.4.172/17848/75\n", + "2024-10-14 17:12:42,935 - dashboard at: http://10.64.4.172:60191/status\n", + "2024-10-14 17:12:42,936 - Registering Worker plugin shuffle\n", + "2024-10-14 17:12:42,953 - Start worker at: inproc://10.64.4.172/17848/78\n", + "2024-10-14 17:12:42,957 - Listening to: inproc10.64.4.172\n", + "2024-10-14 17:12:42,958 - Worker name: 0\n", + "2024-10-14 17:12:42,959 - dashboard at: 10.64.4.172:60192\n", + "2024-10-14 17:12:42,959 - Waiting to connect to: inproc://10.64.4.172/17848/75\n", + "2024-10-14 17:12:42,960 - -------------------------------------------------\n", + "2024-10-14 17:12:42,961 - Threads: 8\n", + "2024-10-14 17:12:42,962 - Memory: 31.95 GiB\n", + "2024-10-14 17:12:42,963 - Local Directory: C:\\Users\\user\\AppData\\Local\\Temp\\dask-scratch-space\\worker-in7kt88h\n", + "2024-10-14 17:12:42,964 - -------------------------------------------------\n", + "2024-10-14 17:12:42,968 - Register worker \n", + "2024-10-14 17:12:42,973 - Starting worker compute stream, inproc://10.64.4.172/17848/78\n", + "2024-10-14 17:12:42,974 - Starting established connection to inproc://10.64.4.172/17848/79\n", + "2024-10-14 17:12:42,976 - Starting Worker plugin shuffle\n", + "2024-10-14 17:12:42,977 - Registered to: inproc://10.64.4.172/17848/75\n", + "2024-10-14 17:12:42,978 - -------------------------------------------------\n", + "2024-10-14 17:12:42,980 - Starting established connection to inproc://10.64.4.172/17848/75\n", + "2024-10-14 17:12:42,985 - Receive client connection: Client-60de385f-8a36-11ef-85b8-b42e99a00ea1\n", + "2024-10-14 17:12:42,990 - Starting established connection to inproc://10.64.4.172/17848/80\n", + "2024-10-14 17:12:42,992 - LinK Dask Server - http://10.64.4.172:60191/status\n", + "2024-10-14 17:12:42,994 - -------------------------------------------------\n", + "2024-10-14 17:12:42,994 - Initialising solver\n", + "AssumptionsHandler - Initial pipeline fitting started\n", + "AssumptionsHandler - Initial pipeline was fitted successfully\n", + "AssumptionsHandler - Memory consumption for fitting of the initial pipeline in main session: current 0.3 MiB, max: 0.4 MiB\n", + "ApiComposer - Initial pipeline was fitted in 0.5 sec.\n", + "AssumptionsHandler - Preset was changed to best_quality due to fit time estimation for initial model.\n", + "ApiComposer - AutoML configured. Parameters tuning: True. Time limit: 1 min. Set of candidate models: ['xgboost', 'catboost', 'logit', 'dt', 'rf', 'mlp', 'lgbm', 'one_class_svm', 'inception_model', 'nbeats_model', 'tcn_model', 'deepar_model', 'channel_filtration', 'eigen_basis', 'wavelet_basis', 'fourier_basis', 'quantile_extractor', 'topological_extractor', 'minirocket_extractor', 'scaling', 'normalization', 'simple_imputation', 'kernel_pca', 'topological_extractor'].\n", + "ApiComposer - Pipeline composition started.\n", + "DataSourceSplitter - K-folds cross validation is applied.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Generations: 0%| | 0/10000 [00:00 on (/n_quantile_extractor_{'window_size': 45, 'stride': 1, 'add_global_features': False};)/n_logit\n", + "PipelineObjectiveEvaluate - Unsuccessful pipeline fit during fitness evaluation. Skipping the pipeline. Exception <'list' object has no attribute 'supplementary_data'> on (/n_quantile_extractor_{'window_size': 35, 'stride': 9, 'add_global_features': True};)/n_logit_{'C': 0.08018172582949566, 'penalty': 'l1', 'solver': 'liblinear'}\n", + "PipelineObjectiveEvaluate - Unsuccessful pipeline fit during fitness evaluation. Skipping the pipeline. Exception on (/n_scaling;)/n_logit\n", + "PipelineObjectiveEvaluate - Unsuccessful pipeline fit during fitness evaluation. Skipping the pipeline. Exception <'list' object has no attribute 'supplementary_data'> on (/n_quantile_extractor_{'window_size': 25, 'stride': 3, 'add_global_features': False};)/n_logit_{'C': 0.4647070387880487, 'penalty': 'l2', 'solver': 'liblinear'}\n", + "IndustrialDispatcher - 2 individuals out of 13 in previous population were evaluated successfully. 0.15384615384615385% is a fairly small percentage of successful evaluation.\n", + "IndustrialEvoOptimizer - Generation num: 1 size: 2\n", + "IndustrialEvoOptimizer - Best individuals: HallOfFame archive fitness (1): ['']\n", + "GroupedCondition - Optimisation stopped: Time limit is reached\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Generations: 0%| | 0/10000 [00:43']\n", + "IndustrialEvoOptimizer - no improvements for 1 iterations\n", + "IndustrialEvoOptimizer - spent time: 0.7 min\n", + "GPComposer - GP composition finished\n", + "DataSourceSplitter - K-folds cross validation is applied.\n", + "ApiComposer - Hyperparameters tuning started with 0 min. timeout\n", + "SimultaneousTuner - Hyperparameters optimization start: estimation of metric for initial graph\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SimultaneousTuner - Initial graph: {'depth': 2, 'length': 2, 'nodes': [logit, quantile_extractor]}\n", + "logit - {'C': 0.9004533434023936, 'penalty': 'l2', 'solver': 'liblinear'}\n", + "quantile_extractor - {} \n", + "Initial metric: [0.792]\n", + " 0%| | 0/10 [00:00 on (/n_quantile_extractor_{'add_global_features': False, 'stride': 8, 'window_size': 5};)/n_logit_{'C': 0.9004533434023936, 'penalty': 'l2', 'solver': 'liblinear'}\n", + " 10%|█ | 1/10 [00:00<00:03, 2.43trial/s, best loss: inf]2024-10-14 17:13:28,918 - build_posterior_wrapper took 0.009996 seconds\n", + "2024-10-14 17:13:28,924 - TPE using 1/1 trials with best loss inf\n", + "PipelineObjectiveEvaluate - Unsuccessful pipeline fit during fitness evaluation. Skipping the pipeline. Exception <'list' object has no attribute 'supplementary_data'> on (/n_quantile_extractor_{'add_global_features': True, 'stride': 5, 'window_size': 35};)/n_logit_{'C': 0.9004533434023936, 'penalty': 'l2', 'solver': 'liblinear'}\n", + " 20%|██ | 2/10 [00:08<00:40, 5.06s/trial, best loss: inf]2024-10-14 17:13:37,233 - build_posterior_wrapper took 0.012998 seconds\n", + "2024-10-14 17:13:37,241 - TPE using 2/2 trials with best loss inf\n", + "PipelineObjectiveEvaluate - Unsuccessful pipeline fit during fitness evaluation. Skipping the pipeline. Exception <'list' object has no attribute 'supplementary_data'> on (/n_quantile_extractor_{'add_global_features': False, 'stride': 8, 'window_size': 35};)/n_logit_{'C': 0.9004533434023936, 'penalty': 'l2', 'solver': 'liblinear'}\n", + " 30%|███ | 3/10 [00:17<00:39, 5.67s/trial, best loss: inf]\n", + "SimultaneousTuner - Tunner stopped after initial search due to the lack of time\n", + "SimultaneousTuner - Hyperparameters optimization finished\n", + "PipelineObjectiveEvaluate - Unsuccessful pipeline fit during fitness evaluation. Skipping the pipeline. Exception <'list' object has no attribute 'supplementary_data'> on (/n_quantile_extractor_{'add_global_features': False, 'stride': 8, 'window_size': 5};)/n_logit_{'C': 0.9004533434023936, 'penalty': 'l2', 'solver': 'liblinear'}\n", + "SimultaneousTuner - Return init graph due to the fact that obtained metric is None. Initial metric is 0.793\n", + "SimultaneousTuner - Final graph: {'depth': 2, 'length': 2, 'nodes': [logit, quantile_extractor]}\n", + "logit - {'C': 0.9004533434023936, 'penalty': 'l2', 'solver': 'liblinear'}\n", + "quantile_extractor - {}\n", + "SimultaneousTuner - Final metric: 0.792\n", + "ApiComposer - Hyperparameters tuning finished\n", + "ApiComposer - Model generation finished\n", + "FEDOT logger - Final pipeline was fitted\n", + "FEDOT logger - Final pipeline: {'depth': 2, 'length': 2, 'nodes': [logit, quantile_extractor]}\n", + "logit - {'C': 0.9004533434023936, 'penalty': 'l2', 'solver': 'liblinear'}\n", + "quantile_extractor - {}\n", + "MemoryAnalytics - Memory consumption for finish in main session: current 18.7 MiB, max: 19.3 MiB\n", + "FEDOT logger - Predictions was saved in current directory.\n", + "FEDOT logger - Predictions was saved in current directory.\n" + ] + } + ], + "source": [ + "result_dict = ApiTemplate(api_config=api_config,\n", + " metric_list=metric_names).eval(dataset='ItalyPowerDemand',\n", + " finetune=finetune,\n", + " initial_assumption = node_list_model)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 147, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " accuracy f1 precision\n", + "0 0.723 0.742 0.728\n" + ] + } + ], + "source": [ + "print(result_dict['metrics'])" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "# Transform initial row in feature vector. Hard dataset" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%% md\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 156, + "outputs": [], + "source": [ + "stat_pipeline = pipeline_creator.create_pipeline(node_list_model)\n", + "feature_extractor = pipeline_creator.create_pipeline(['quantile_extractor'])\n", + "feature_matrix = feature_extractor.fit(hard_to_clf_uno_dataset[0])\n", + "initial_ts, transformed_ts = pd.DataFrame(feature_matrix.features.squeeze()),pd.DataFrame(feature_matrix.predict.squeeze())\n", + "transformed_ts['target'] = feature_matrix.target" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 160, + "outputs": [ + { + "data": { + "text/plain": " 0 1 2 3 4 5 6 \\\n0 4.781661 21.857035 2.0 0.004143 0.303948 0.000000 0.989583 \n1 6.982644 51.614110 1.0 0.004286 0.862304 0.000000 0.989583 \n2 0.631072 -1.492669 10.0 -0.000874 0.217731 2.014866 0.989583 \n3 2.141406 3.358323 6.0 0.018356 0.034031 0.000000 0.989583 \n4 8.295791 72.098259 1.0 -0.002390 0.864106 0.000000 0.989583 \n... ... ... ... ... ... ... ... \n8921 5.898298 34.676828 2.0 0.007734 0.866926 0.000000 0.989583 \n8922 0.135169 -0.445727 33.0 0.009239 0.517216 1.597863 0.989583 \n8923 -1.173111 -0.637535 23.0 -0.000499 0.140819 0.574335 0.989583 \n8924 6.817212 49.579918 2.0 0.005960 0.859749 0.000000 0.989583 \n8925 5.778912 34.677022 19.0 0.011177 0.631451 0.157468 0.989583 \n\n 7 8 9 ... 19 20 21 \\\n0 0.041667 0.503727 0.498850 ... -1.770833e-09 -0.213938 0.994778 \n1 0.020833 0.619377 0.333216 ... 1.145833e-09 -0.166598 0.994778 \n2 0.218750 0.544344 2.323477 ... 3.333333e-09 -0.783021 0.994778 \n3 0.125000 0.768398 1.151543 ... -5.000000e-09 -0.435438 0.994778 \n4 0.020833 0.333090 0.166928 ... -3.125000e-09 -0.133151 0.994778 \n... ... ... ... ... ... ... ... \n8921 0.020833 0.670338 0.416115 ... -1.135417e-09 -0.180066 0.994778 \n8922 0.458333 -0.037192 4.296933 ... -8.322917e-09 0.094318 0.994778 \n8923 0.489583 -0.333333 0.811278 ... -5.000000e-09 0.574335 0.994778 \n8924 0.020833 0.561447 0.498850 ... 7.291667e-10 -0.185983 0.994778 \n8925 0.020833 0.551156 3.885481 ... 9.166668e-11 -0.245496 0.994778 \n\n 22 23 24 25 26 27 target \n0 5.585047 -0.213938 -0.213938 -2.139382e-01 -0.213938 0.154251 1.0 \n1 8.131040 -0.166598 -0.166598 -1.665976e-01 -0.166598 -0.166598 4.0 \n2 1.696814 -0.783021 -0.783021 -7.830209e-01 1.231845 1.580572 2.0 \n3 3.662803 -0.435438 -0.435438 -4.354381e-01 -0.435438 2.125963 5.0 \n4 8.997227 -0.133151 -0.133151 -1.331514e-01 -0.133151 -0.133151 3.0 \n... ... ... ... ... ... ... ... \n8921 6.532028 -0.180066 -0.180066 -1.800663e-01 -0.180066 -0.117773 4.0 \n8922 2.757423 -1.858625 -1.503544 -7.933832e-01 0.804479 1.559026 4.0 \n8923 0.574335 -1.723006 -1.723006 -5.000000e-09 0.574335 0.574335 5.0 \n8924 8.019215 -0.185983 -0.185983 -1.859831e-01 -0.185983 0.676157 4.0 \n8925 6.436382 -0.303235 -0.274366 -2.717411e-01 -0.114273 0.452610 4.0 \n\n[8926 rows x 29 columns]", + "text/html": "
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" + }, + "execution_count": 157, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "transformed_ts.groupby(by='target').first()" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 158, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-10-14 17:24:46,814 - Reading data from D:\\WORK\\Repo\\Industiral\\IndustrialTS\\fedot_ind\\data\\Phoneme\n", + "2024-10-14 17:24:47,323 - Data read successfully from local folder\n", + "2024-10-14 17:24:47,332 - Initialising experiment setup\n", + "2024-10-14 17:24:47,337 - -------------------------------------------------\n", + "2024-10-14 17:24:47,338 - Initialising Industrial Repository\n", + "2024-10-14 17:24:47,339 - -------------------------------------------------\n", + "2024-10-14 17:24:47,339 - Initialising Dask Server\n", + "Creating Dask Server\n", + "2024-10-14 17:24:47,351 - State start\n", + "2024-10-14 17:24:47,372 - Scheduler at: inproc://10.64.4.172/17848/87\n", + "2024-10-14 17:24:47,374 - dashboard at: http://10.64.4.172:61112/status\n", + "2024-10-14 17:24:47,376 - Registering Worker plugin shuffle\n", + "2024-10-14 17:24:47,396 - Start worker at: inproc://10.64.4.172/17848/90\n", + "2024-10-14 17:24:47,397 - Listening to: inproc10.64.4.172\n", + "2024-10-14 17:24:47,398 - Worker name: 0\n", + "2024-10-14 17:24:47,399 - dashboard at: 10.64.4.172:61113\n", + "2024-10-14 17:24:47,400 - Waiting to connect to: inproc://10.64.4.172/17848/87\n", + "2024-10-14 17:24:47,401 - -------------------------------------------------\n", + "2024-10-14 17:24:47,402 - Threads: 8\n", + "2024-10-14 17:24:47,403 - Memory: 31.95 GiB\n", + "2024-10-14 17:24:47,405 - Local Directory: C:\\Users\\user\\AppData\\Local\\Temp\\dask-scratch-space\\worker-70jkow7u\n", + "2024-10-14 17:24:47,406 - -------------------------------------------------\n", + "2024-10-14 17:24:47,413 - Register worker \n", + "2024-10-14 17:24:47,416 - Starting worker compute stream, inproc://10.64.4.172/17848/90\n", + "2024-10-14 17:24:47,417 - Starting established connection to inproc://10.64.4.172/17848/91\n", + "2024-10-14 17:24:47,424 - Starting Worker plugin shuffle\n", + "2024-10-14 17:24:47,428 - Registered to: inproc://10.64.4.172/17848/87\n", + "2024-10-14 17:24:47,429 - -------------------------------------------------\n", + "2024-10-14 17:24:47,431 - Starting established connection to inproc://10.64.4.172/17848/87\n", + "2024-10-14 17:24:47,439 - Receive client connection: Client-10acbaa4-8a38-11ef-85b8-b42e99a00ea1\n", + "2024-10-14 17:24:47,443 - Starting established connection to inproc://10.64.4.172/17848/92\n", + "2024-10-14 17:24:47,445 - LinK Dask Server - http://10.64.4.172:61112/status\n", + "2024-10-14 17:24:47,447 - -------------------------------------------------\n", + "2024-10-14 17:24:47,448 - Initialising solver\n", + "AssumptionsHandler - Initial pipeline fitting started\n", + "AssumptionsHandler - Initial pipeline was fitted successfully\n", + "AssumptionsHandler - Memory consumption for fitting of the initial pipeline in main session: current 4.6 MiB, max: 6.8 MiB\n", + "ApiComposer - Initial pipeline was fitted in 2.5 sec.\n", + "AssumptionsHandler - Preset was changed to fast_train due to fit time estimation for initial model.\n", + "ApiComposer - AutoML configured. Parameters tuning: True. Time limit: 1 min. Set of candidate models: ['xgboost', 'catboost', 'logit', 'dt', 'rf', 'mlp', 'lgbm', 'one_class_svm', 'inception_model', 'nbeats_model', 'tcn_model', 'deepar_model', 'channel_filtration', 'eigen_basis', 'wavelet_basis', 'fourier_basis', 'quantile_extractor', 'topological_extractor', 'minirocket_extractor', 'scaling', 'normalization', 'simple_imputation', 'kernel_pca', 'topological_extractor'].\n", + "ApiComposer - Timeout is too small for composing and is skipped because fit_time is 2.485536 sec.\n", + "DataSourceSplitter - Hold out validation is applied.\n", + "ApiComposer - Hyperparameters tuning started with 1 min. timeout\n", + "SimultaneousTuner - Hyperparameters optimization start: estimation of metric for initial graph\n", + "SimultaneousTuner - Initial graph: {'depth': 2, 'length': 2, 'nodes': [logit, quantile_extractor]}\n", + "logit - {}\n", + "quantile_extractor - {} \n", + "Initial metric: [0.083]\n", + " 0%| | 0/100000 [00:00 on (/n_quantile_extractor_{'add_global_features': True, 'stride': 8, 'window_size': 5};)/n_logit_{'C': 7.013310954134132, 'penalty': 'l1', 'solver': 'liblinear'}\n", + " 0%| | 1/100000 [00:00<13:58:19, 1.99trial/s, best loss: inf]2024-10-14 17:24:53,635 - build_posterior_wrapper took 0.010000 seconds\n", + "2024-10-14 17:24:53,647 - TPE using 1/1 trials with best loss inf\n", + "PipelineObjectiveEvaluate - Unsuccessful pipeline fit during fitness evaluation. Skipping the pipeline. Exception <'list' object has no attribute 'supplementary_data'> on (/n_quantile_extractor_{'add_global_features': True, 'stride': 8, 'window_size': 30};)/n_logit_{'C': 4.629539905077404, 'penalty': 'l1', 'solver': 'liblinear'}\n", + " 0%| | 2/100000 [00:09<150:53:16, 5.43s/trial, best loss: inf]2024-10-14 17:25:02,519 - build_posterior_wrapper took 0.010000 seconds\n", + "2024-10-14 17:25:02,523 - TPE using 2/2 trials with best loss inf\n", + "PipelineObjectiveEvaluate - Unsuccessful pipeline fit during fitness evaluation. Skipping the pipeline. Exception <'list' object has no attribute 'supplementary_data'> on (/n_quantile_extractor_{'add_global_features': False, 'stride': 3, 'window_size': 25};)/n_logit_{'C': 1.4623270887022872, 'penalty': 'l2', 'solver': 'liblinear'}\n", + " 0%| | 3/100000 [00:18<191:34:27, 6.90s/trial, best loss: inf]2024-10-14 17:25:11,161 - build_posterior_wrapper took 0.011999 seconds\n", + "2024-10-14 17:25:11,171 - TPE using 3/3 trials with best loss inf\n", + "PipelineObjectiveEvaluate - Unsuccessful pipeline fit during fitness evaluation. Skipping the pipeline. Exception <'list' object has no attribute 'supplementary_data'> on (/n_quantile_extractor_{'add_global_features': False, 'stride': 5, 'window_size': 45};)/n_logit_{'C': 0.9861086567698546, 'penalty': 'l1', 'solver': 'liblinear'}\n", + " 0%| | 4/100000 [00:27<215:40:41, 7.76s/trial, best loss: inf]2024-10-14 17:25:20,255 - build_posterior_wrapper took 0.010998 seconds\n", + "2024-10-14 17:25:20,272 - TPE using 4/4 trials with best loss inf\n", + "PipelineObjectiveEvaluate - Unsuccessful pipeline fit during fitness evaluation. Skipping the pipeline. Exception <'list' object has no attribute 'supplementary_data'> on (/n_quantile_extractor_{'add_global_features': False, 'stride': 7, 'window_size': 15};)/n_logit_{'C': 7.162224422667747, 'penalty': 'l2', 'solver': 'liblinear'}\n", + " 0%| | 5/100000 [00:36<232:48:32, 8.38s/trial, best loss: inf]2024-10-14 17:25:29,728 - build_posterior_wrapper took 0.010000 seconds\n", + "2024-10-14 17:25:29,734 - TPE using 5/5 trials with best loss inf\n", + "PipelineObjectiveEvaluate - Unsuccessful pipeline fit during fitness evaluation. Skipping the pipeline. Exception <'list' object has no attribute 'supplementary_data'> on (/n_quantile_extractor_{'add_global_features': False, 'stride': 3, 'window_size': 35};)/n_logit_{'C': 5.358362329054688, 'penalty': 'l1', 'solver': 'liblinear'}\n", + " 0%| | 6/100000 [00:46<245:06:36, 8.82s/trial, best loss: inf]2024-10-14 17:25:39,416 - build_posterior_wrapper took 0.010999 seconds\n", + "2024-10-14 17:25:39,446 - TPE using 6/6 trials with best loss inf\n", + "PipelineObjectiveEvaluate - Unsuccessful pipeline fit during fitness evaluation. Skipping the pipeline. Exception <'list' object has no attribute 'supplementary_data'> on (/n_quantile_extractor_{'add_global_features': False, 'stride': 4, 'window_size': 10};)/n_logit_{'C': 5.481147127254816, 'penalty': 'l2', 'solver': 'liblinear'}\n", + " 0%| | 7/100000 [00:57<228:34:40, 8.23s/trial, best loss: inf]\n", + "SimultaneousTuner - Hyperparameters optimization finished\n", + "PipelineObjectiveEvaluate - Unsuccessful pipeline fit during fitness evaluation. Skipping the pipeline. Exception <'list' object has no attribute 'supplementary_data'> on (/n_quantile_extractor_{'add_global_features': True, 'stride': 8, 'window_size': 5};)/n_logit_{'C': 7.013310954134132, 'penalty': 'l1', 'solver': 'liblinear'}\n", + "SimultaneousTuner - Return init graph due to the fact that obtained metric is None. Initial metric is 0.083\n", + "SimultaneousTuner - Final graph: {'depth': 2, 'length': 2, 'nodes': [logit, quantile_extractor]}\n", + "logit - {}\n", + "quantile_extractor - {}\n", + "SimultaneousTuner - Final metric: 0.083\n", + "ApiComposer - Hyperparameters tuning finished\n", + "ApiComposer - Model generation finished\n", + "FEDOT logger - Final pipeline was fitted\n", + "FEDOT logger - Final pipeline: {'depth': 2, 'length': 2, 'nodes': [logit, quantile_extractor]}\n", + "logit - {}\n", + "quantile_extractor - {}\n", + "MemoryAnalytics - Memory consumption for finish in main session: current 9.2 MiB, max: 9.8 MiB\n", + "FEDOT logger - Predictions was saved in current directory.\n", + "FEDOT logger - Predictions was saved in current directory.\n" + ] + } + ], + "source": [ + "result_dict = ApiTemplate(api_config=api_config,\n", + " metric_list=metric_names).eval(dataset='Phoneme',\n", + " finetune=finetune,\n", + " initial_assumption = node_list_model)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 159, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " accuracy f1 precision\n", + "0 0.262 0.21 0.148\n" + ] + } + ], + "source": [ + "print(result_dict['metrics'])" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/examples/tutorial/time_series/ts_forecasting/__init__.py b/examples/tutorial/time_series/ts_forecasting/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/fedot_ind/core/models/base_extractor.py b/fedot_ind/core/models/base_extractor.py index 99973a1f7..a273c6675 100644 --- a/fedot_ind/core/models/base_extractor.py +++ b/fedot_ind/core/models/base_extractor.py @@ -131,10 +131,11 @@ def apply_window_for_stat_feature(self, ts_data: np.array, else: ts_slices = list(range(0, subseq_set.shape[1])) - features = list(map(lambda slice: feature_generator(subseq_set[:, slice]).features, ts_slices)) + features = list(map(lambda slice: feature_generator(subseq_set[:, slice]), ts_slices)) names = list(map(lambda ts_tup: [x + f'_on_interval: {ts_tup[1] + 1} - {ts_tup[1] + 1 + window_size}' for x in ts_tup[0].supplementary_data['feature_name']], zip(features, ts_slices))) + features = [x.features for x in features] return features, names diff --git a/fedot_ind/core/repository/IndustrialDispatcher.py b/fedot_ind/core/repository/IndustrialDispatcher.py index 978451d6d..520d5347b 100644 --- a/fedot_ind/core/repository/IndustrialDispatcher.py +++ b/fedot_ind/core/repository/IndustrialDispatcher.py @@ -41,7 +41,6 @@ def _multithread_eval(self, individuals_to_evaluate): uid_of_individual=ind.uid, logs_initializer=log), individuals_to_evaluate)) - return evaluation_results def _eval_at_least_one(self, individuals): diff --git a/tests/unit/api/main/test_api_main.py b/tests/unit/api/main/test_api_main.py index 23dc6292d..3e1949ea5 100644 --- a/tests/unit/api/main/test_api_main.py +++ b/tests/unit/api/main/test_api_main.py @@ -5,6 +5,7 @@ from matplotlib import get_backend, pyplot as plt from fedot_ind.api.main import FedotIndustrial +from fedot_ind.api.utils.data import SynthTimeSeriesData from fedot_ind.tools.synthetic.ts_datasets_generator import TimeSeriesDatasetsGenerator @@ -109,7 +110,7 @@ def ts_config(): def test_generate_ts(fedot_industrial_classification, ts_config): industrial = fedot_industrial_classification - ts = industrial.generate_ts(ts_config=ts_config) + ts = SynthTimeSeriesData(ts_config).generate_ts() assert isinstance(ts, np.ndarray) assert ts.shape[0] == 1000 @@ -129,8 +130,7 @@ def test_generate_anomaly_ts( ts_config, anomaly_config): industrial = fedot_industrial_classification - init_synth_ts, mod_synth_ts, synth_inters = industrial.generate_anomaly_ts( - ts_data=ts_config, anomaly_config=anomaly_config) + init_synth_ts, mod_synth_ts, synth_inters = SynthTimeSeriesData(anomaly_config).generate_anomaly_ts(ts_config) assert len(init_synth_ts) == len(mod_synth_ts) for anomaly_type in synth_inters: for interval in synth_inters[anomaly_type]: