{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "855fdafb-cce9-44ee-bdf9-776a375494ed",
   "metadata": {},
   "source": [
    "\n",
    "# User-Friendly Wrapper\n",
    "\n",
    "In this notebook we present the a __user-friendly approach__ in the well-known ABT-BUY dataset. This is a simple approach, specially developed for novice users in ER."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c43b9af-44cc-4091-8f22-857b15092e76",
   "metadata": {},
   "source": [
    "# How to install?\n",
    "\n",
    "pyJedAI is an open-source library that can be installed from PyPI.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "74187cf8-e496-4c43-a2ab-ef9a0cc57de0",
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip install pyjedai -U"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b2b0b53e-3fd9-486f-a8aa-dc8be53de12a",
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip show pyjedai"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31da2f6d-830f-4639-9e67-37100c86d49d",
   "metadata": {},
   "source": [
    "Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4583ae66-fdc5-4e17-a297-83d7b59e79b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d574554b-4712-4a9d-b449-596f91372fda",
   "metadata": {},
   "source": [
    "## Data Reading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "81b21794-778c-451b-b323-77b47022b915",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyjedai.datamodel import Data\n",
    "\n",
    "data = Data(\n",
    "    dataset_1=pd.read_csv(\"./../data/ccer/D2/abt.csv\", sep='|', engine='python', na_filter=False).astype(str),\n",
    "    attributes_1=['id','name','description'],\n",
    "    id_column_name_1='id',\n",
    "    dataset_2=pd.read_csv(\"./../data/ccer/D2/buy.csv\", sep='|', engine='python', na_filter=False).astype(str),\n",
    "    attributes_2=['id','name','description'],\n",
    "    id_column_name_2='id',\n",
    "    ground_truth=pd.read_csv(\"./../data/ccer/D2/gt.csv\", sep='|', engine='python'),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fadab403-9b4c-410f-9112-2264ca299252",
   "metadata": {},
   "source": [
    "## WorkFlow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "94f6212e-3d0d-4b89-b213-d06cfbb553c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/konstantinos/pyJedAI-Dev/src/pyjedai/workflow.py:11: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from tqdm.autonotebook import tqdm\n"
     ]
    }
   ],
   "source": [
    "from pyjedai.workflow import BlockingBasedWorkFlow, EmbeddingsNNWorkFlow, compare_workflows\n",
    "from pyjedai.block_building import StandardBlocking, QGramsBlocking, ExtendedQGramsBlocking, SuffixArraysBlocking, ExtendedSuffixArraysBlocking\n",
    "from pyjedai.block_cleaning import BlockFiltering, BlockPurging\n",
    "from pyjedai.comparison_cleaning import WeightedEdgePruning, WeightedNodePruning, CardinalityEdgePruning, CardinalityNodePruning, BLAST, ReciprocalCardinalityNodePruning, ReciprocalWeightedNodePruning, ComparisonPropagation\n",
    "from pyjedai.matching import EntityMatching\n",
    "from pyjedai.clustering import ConnectedComponentsClustering, UniqueMappingClustering\n",
    "from pyjedai.vector_based_blocking import EmbeddingsNNBlockBuilding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1a3675c9-a30f-4c20-a91c-affe3e09f14c",
   "metadata": {},
   "outputs": [],
   "source": [
    "w = BlockingBasedWorkFlow(\n",
    "    block_building = dict(\n",
    "        method=QGramsBlocking,\n",
    "        params=dict(qgrams=3),\n",
    "        attributes_1=['name'],\n",
    "        attributes_2=['name']\n",
    "    ),\n",
    "    block_cleaning = [\n",
    "        dict(\n",
    "            method=BlockPurging, \n",
    "            params=dict(smoothing_factor=1.025)\n",
    "        ),\n",
    "        dict(\n",
    "            method=BlockFiltering,\n",
    "            params=dict(ratio=0.8)\n",
    "        )\n",
    "    ],\n",
    "    comparison_cleaning = dict(method=CardinalityEdgePruning),\n",
    "        entity_matching = dict(\n",
    "        method=EntityMatching,\n",
    "        metric='sorensen_dice',\n",
    "        similarity_threshold=0.5,\n",
    "        attributes = ['description', 'name']\n",
    "    ),\n",
    "    clustering = dict(method=ConnectedComponentsClustering),\n",
    "    name=\"Worflow-Test\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1f3f7c12-fcae-4175-bb5c-3d4989372107",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***************************************************************************************************************************\n",
      "                                         Method:  Q-Grams Blocking\n",
      "***************************************************************************************************************************\n",
      "Method name: Q-Grams Blocking\n",
      "Parameters: \n",
      "\tQ-Gramms: 3\n",
      "Runtime: 0.1329 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      0.08% \n",
      "\tRecall:       100.00%\n",
      "\tF1-score:       0.17%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Method:  Block Purging\n",
      "***************************************************************************************************************************\n",
      "Method name: Block Purging\n",
      "Parameters: \n",
      "\tSmoothing factor: 1.025\n",
      "\tMax Comparisons per Block: 34452.0\n",
      "Runtime: 0.0135 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      0.10% \n",
      "\tRecall:       100.00%\n",
      "\tF1-score:       0.19%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Method:  Block Filtering\n",
      "***************************************************************************************************************************\n",
      "Method name: Block Filtering\n",
      "Parameters: \n",
      "\tRatio: 0.8\n",
      "Runtime: 0.0966 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      0.25% \n",
      "\tRecall:        99.91%\n",
      "\tF1-score:       0.49%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Method:  Cardinality Edge Pruning\n",
      "***************************************************************************************************************************\n",
      "Method name: Cardinality Edge Pruning\n",
      "Parameters: \n",
      "\tNode centric: False\n",
      "\tWeighting scheme: JS\n",
      "Runtime: 0.9665 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      4.71% \n",
      "\tRecall:        98.70%\n",
      "\tF1-score:       8.99%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Method:  Entity Matching\n",
      "***************************************************************************************************************************\n",
      "Method name: Entity Matching\n",
      "Parameters: \n",
      "\tMetric: dice\n",
      "\tAttributes: None\n",
      "\tSimilarity threshold: 0.5\n",
      "\tTokenizer: white_space_tokenizer\n",
      "\tVectorizer: None\n",
      "\tQgrams: 1\n",
      "Runtime: 3.7806 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:     77.78% \n",
      "\tRecall:         1.95%\n",
      "\tF1-score:       3.81%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Method:  Connected Components Clustering\n",
      "***************************************************************************************************************************\n",
      "Method name: Connected Components Clustering\n",
      "Parameters: \n",
      "\tSimilarity Threshold: None\n",
      "Runtime: 0.0003 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:     90.48% \n",
      "\tRecall:         1.77%\n",
      "\tF1-score:       3.46%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
     ]
    }
   ],
   "source": [
    "w.run(data, verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f01b9916-c30f-4409-b634-45cbcdb3270f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Algorithm</th>\n",
       "      <th>F1</th>\n",
       "      <th>Recall</th>\n",
       "      <th>Precision</th>\n",
       "      <th>Runtime (sec)</th>\n",
       "      <th>Params</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Q-Grams Blocking</td>\n",
       "      <td>0.167526</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.083833</td>\n",
       "      <td>0.132942</td>\n",
       "      <td>{'Q-Gramms': 3}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Block Purging</td>\n",
       "      <td>0.190665</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.095423</td>\n",
       "      <td>0.013543</td>\n",
       "      <td>{'Smoothing factor': 1.025, 'Max Comparisons p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Block Filtering</td>\n",
       "      <td>0.493133</td>\n",
       "      <td>99.907063</td>\n",
       "      <td>0.247176</td>\n",
       "      <td>0.096584</td>\n",
       "      <td>{'Ratio': 0.8}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Cardinality Edge Pruning</td>\n",
       "      <td>8.985532</td>\n",
       "      <td>98.698885</td>\n",
       "      <td>4.707030</td>\n",
       "      <td>0.966452</td>\n",
       "      <td>{'Node centric': False, 'Weighting scheme': 'JS'}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Entity Matching</td>\n",
       "      <td>3.807797</td>\n",
       "      <td>1.951673</td>\n",
       "      <td>77.777778</td>\n",
       "      <td>3.780590</td>\n",
       "      <td>{'Metric': 'dice', 'Attributes': None, 'Simila...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Connected Components Clustering</td>\n",
       "      <td>3.463993</td>\n",
       "      <td>1.765799</td>\n",
       "      <td>90.476190</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>{'Similarity Threshold': None}</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Algorithm        F1      Recall  Precision  \\\n",
       "0                 Q-Grams Blocking  0.167526  100.000000   0.083833   \n",
       "1                    Block Purging  0.190665  100.000000   0.095423   \n",
       "2                  Block Filtering  0.493133   99.907063   0.247176   \n",
       "3         Cardinality Edge Pruning  8.985532   98.698885   4.707030   \n",
       "4                  Entity Matching  3.807797    1.951673  77.777778   \n",
       "5  Connected Components Clustering  3.463993    1.765799  90.476190   \n",
       "\n",
       "   Runtime (sec)                                             Params  \n",
       "0       0.132942                                    {'Q-Gramms': 3}  \n",
       "1       0.013543  {'Smoothing factor': 1.025, 'Max Comparisons p...  \n",
       "2       0.096584                                     {'Ratio': 0.8}  \n",
       "3       0.966452  {'Node centric': False, 'Weighting scheme': 'JS'}  \n",
       "4       3.780590  {'Metric': 'dice', 'Attributes': None, 'Simila...  \n",
       "5       0.000292                     {'Similarity Threshold': None}  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "w.to_df()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4dad448b-4871-4064-9ae6-ddab6b6149e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "w.visualize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1a726485-9353-4249-b46d-f3b7e23fd6f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "w.visualize(separate=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7a2035f-14af-4499-8dc9-01dd2abe563a",
   "metadata": {},
   "source": [
    "## Multiple workflows - Comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "99758a12-d72b-4c23-9d1f-5a2f453fb7d0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "BlockingBasedWorkFlow-1: 100%|██████████| 5/5 [00:02<00:00,  1.26it/s]"
     ]
    }
   ],
   "source": [
    "w1 = BlockingBasedWorkFlow(\n",
    "    block_building = dict(\n",
    "        method=QGramsBlocking, \n",
    "        params=dict(qgrams=4),\n",
    "        attributes_1=['name'],\n",
    "        attributes_2=['name']\n",
    "    ),\n",
    "    block_cleaning = [\n",
    "        dict(\n",
    "            method=BlockFiltering, \n",
    "            params=dict(ratio=0.6)\n",
    "        ),\n",
    "        dict(\n",
    "            method=BlockPurging, \n",
    "            params=dict(smoothing_factor=1.025)\n",
    "        )\n",
    "    ],\n",
    "    comparison_cleaning = dict(method=CardinalityEdgePruning),\n",
    "        entity_matching = dict(\n",
    "        method=EntityMatching, \n",
    "        metric='sorensen_dice',\n",
    "        similarity_threshold=0.5,\n",
    "        attributes = ['description', 'name']\n",
    "    ),\n",
    "    clustering = dict(method=ConnectedComponentsClustering)\n",
    ")\n",
    "w1.run(data, verbose=False, workflow_tqdm_enable=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dffd00ee-ea25-4688-a0f9-a8e9026eb20c",
   "metadata": {},
   "source": [
    "## Workflow based on pyTorch Embdeddings\n",
    "\n",
    "\n",
    "- `block_building` : \n",
    "    - `method` : EmbeddingsNNBlockBuilding\n",
    "    - `params` : Constructor parameters\n",
    "    - `exec_params` : `build_blocks` parameters\n",
    "- `clustering` : \n",
    "    - `method` : UniqueMappingClustering\n",
    "    - `params` : Constructor parameters (i.e similarity threshold)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "634f3bcf-bce7-4598-affe-15882fac8947",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building blocks via Embeddings-NN Block Building [sminilm, faiss]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Embeddings-NN Block Building [sminilm, faiss, cuda]: 100%|██████████| 2152/2152 [00:21<00:00, 102.16it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "disable True\n",
      "***************************************************************************************************************************\n",
      "                                         Method:  Embeddings-NN Block Building\n",
      "***************************************************************************************************************************\n",
      "Method name: Embeddings-NN Block Building\n",
      "Parameters: \n",
      "\tVectorizer: sminilm\n",
      "\tSimilarity-Search: faiss\n",
      "\tTop-K: 5\n",
      "\tVector size: 384\n",
      "Runtime: 21.7341 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:     18.35% \n",
      "\tRecall:        91.73%\n",
      "\tF1-score:      30.58%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Method:  Unique Mapping Clustering\n",
      "***************************************************************************************************************************\n",
      "Method name: Unique Mapping Clustering\n",
      "Parameters: \n",
      "\tSimilarity Threshold: 0.1\n",
      "Runtime: 0.0474 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:     79.44% \n",
      "\tRecall:        73.61%\n",
      "\tF1-score:      76.41%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
     ]
    }
   ],
   "source": [
    "w2 = EmbeddingsNNWorkFlow(\n",
    "    block_building = dict(\n",
    "        method=EmbeddingsNNBlockBuilding, \n",
    "        params=dict(vectorizer='sminilm', similarity_search='faiss'),\n",
    "        exec_params=dict(top_k=5, \n",
    "                         similarity_distance='euclidean',\n",
    "                         load_embeddings_if_exist=False,\n",
    "                         save_embeddings=False)\n",
    "    ),\n",
    "    clustering = dict(method=UniqueMappingClustering),\n",
    "    name=\"EmbeddingsNNWorkFlow-Test\"\n",
    ")\n",
    "\n",
    "w2.run(data, verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5d3cc423-5ef0-42d3-8607-b34177ecebbe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>F1</th>\n",
       "      <th>Recall</th>\n",
       "      <th>Precision</th>\n",
       "      <th>Runtime (sec)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Worflow-Test</td>\n",
       "      <td>3.463993</td>\n",
       "      <td>1.765799</td>\n",
       "      <td>90.476190</td>\n",
       "      <td>5.330923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BlockingBasedWorkFlow-1</td>\n",
       "      <td>3.463993</td>\n",
       "      <td>1.765799</td>\n",
       "      <td>90.476190</td>\n",
       "      <td>2.949135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>EmbeddingsNNWorkFlow-Test</td>\n",
       "      <td>76.410999</td>\n",
       "      <td>73.605948</td>\n",
       "      <td>79.438315</td>\n",
       "      <td>21.874120</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Name         F1     Recall  Precision  Runtime (sec)\n",
       "0               Worflow-Test   3.463993   1.765799  90.476190       5.330923\n",
       "1    BlockingBasedWorkFlow-1   3.463993   1.765799  90.476190       2.949135\n",
       "2  EmbeddingsNNWorkFlow-Test  76.410999  73.605948  79.438315      21.874120"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "compare_workflows([w, w1, w2], with_visualization=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b0c5833-90fd-4ae9-940e-806bee9c08f9",
   "metadata": {},
   "source": [
    "# Predefined workflows (best & default)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7ddf5fb7-b765-40ec-9008-e8d097d20e6e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***************************************************************************************************************************\n",
      "                                         Method:  Standard Blocking\n",
      "***************************************************************************************************************************\n",
      "Method name: Standard Blocking\n",
      "Parameters: \n",
      "Runtime: 0.1045 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      0.12% \n",
      "\tRecall:        99.81%\n",
      "\tF1-score:       0.24%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Method:  Block Filtering\n",
      "***************************************************************************************************************************\n",
      "Method name: Block Filtering\n",
      "Parameters: \n",
      "\tRatio: 0.9\n",
      "Runtime: 0.0792 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      0.24% \n",
      "\tRecall:        99.72%\n",
      "\tF1-score:       0.48%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Method:  Weighted Edge Pruning\n",
      "***************************************************************************************************************************\n",
      "Method name: Weighted Edge Pruning\n",
      "Parameters: \n",
      "\tNode centric: False\n",
      "\tWeighting scheme: EJS\n",
      "Runtime: 1.5783 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      1.33% \n",
      "\tRecall:        99.54%\n",
      "\tF1-score:       2.63%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Method:  Entity Matching\n",
      "***************************************************************************************************************************\n",
      "Method name: Entity Matching\n",
      "Parameters: \n",
      "\tMetric: cosine\n",
      "\tAttributes: None\n",
      "\tSimilarity threshold: 0.0\n",
      "\tTokenizer: char_tokenizer\n",
      "\tVectorizer: tfidf\n",
      "\tQgrams: 3\n",
      "Runtime: 0.5095 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      1.33% \n",
      "\tRecall:        99.54%\n",
      "\tF1-score:       2.63%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Method:  Unique Mapping Clustering\n",
      "***************************************************************************************************************************\n",
      "Method name: Unique Mapping Clustering\n",
      "Parameters: \n",
      "\tSimilarity Threshold: 0.17\n",
      "Runtime: 0.1052 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:     94.52% \n",
      "\tRecall:        93.03%\n",
      "\tF1-score:      93.77%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
     ]
    }
   ],
   "source": [
    "w = BlockingBasedWorkFlow()\n",
    "w.best_blocking_workflow_ccer()\n",
    "w.run(data, verbose=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59fd36f1-68ca-461c-8847-b1a9e485c31b",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<div align=\"right\">\n",
    "K. Nikoletos, J. Maciejewski, G. Papadakis & M. Koubarakis\n",
    "</div>\n",
    "<div align=\"right\">\n",
    "<a href=\"https://github.com/Nikoletos-K/pyJedAI/blob/main/LICENSE\">Apache License 2.0</a>\n",
    "</div>"
   ]
  }
 ],
 "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": "3.9.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}