{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "855fdafb-cce9-44ee-bdf9-776a375494ed",
   "metadata": {},
   "source": [
    "# User-Friendly Workflow Tutorial\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": 2,
   "id": "b2b0b53e-3fd9-486f-a8aa-dc8be53de12a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name: pyjedai\n",
      "Version: 0.1.0\n",
      "Summary: An open-source library that builds powerful end-to-end Entity Resolution workflows.\n",
      "Home-page: \n",
      "Author: \n",
      "Author-email: Konstantinos Nikoletos <nikoletos.kon@gmail.com>, George Papadakis <gpapadis84@gmail.com>, Jakub Maciejewski <jacobb.maciejewski@gmail.com>, Manolis Koubarakis <koubarak@di.uoa.gr>\n",
      "License: Apache Software License 2.0\n",
      "Location: /home/jm/anaconda3/envs/pyjedai-new/lib/python3.8/site-packages\n",
      "Requires: faiss-cpu, gensim, matplotlib, matplotlib-inline, networkx, nltk, numpy, optuna, ordered-set, pandas, pandas-profiling, pandocfilters, plotly, py-stringmatching, PyYAML, rdflib, rdfpandas, regex, scipy, seaborn, sentence-transformers, strsim, strsimpy, tomli, tqdm, transformers, valentine\n",
      "Required-by: \n"
     ]
    }
   ],
   "source": [
    "!pip show pyjedai"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31da2f6d-830f-4639-9e67-37100c86d49d",
   "metadata": {},
   "source": [
    "Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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": 4,
   "id": "81b21794-778c-451b-b323-77b47022b915",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to /home/jm/nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n"
     ]
    }
   ],
   "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": 5,
   "id": "94f6212e-3d0d-4b89-b213-d06cfbb553c9",
   "metadata": {},
   "outputs": [],
   "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": 6,
   "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": 7,
   "id": "1f3f7c12-fcae-4175-bb5c-3d4989372107",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***************************************************************************************************************************\n",
      "                                         Μethod:  Q-Grams Blocking\n",
      "***************************************************************************************************************************\n",
      "Method name: Q-Grams Blocking\n",
      "Parameters: \n",
      "\tQ-Gramms: 3\n",
      "Runtime: 0.7395 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      0.08% \n",
      "\tRecall:       100.00%\n",
      "\tF1-score:       0.17%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Μethod:  Block Purging\n",
      "***************************************************************************************************************************\n",
      "Method name: Block Purging\n",
      "Parameters: \n",
      "\tSmoothing factor: 1.025\n",
      "\tMax Comparisons per Block: 34452.0\n",
      "Runtime: 0.0444 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      0.10% \n",
      "\tRecall:       100.00%\n",
      "\tF1-score:       0.19%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Μethod:  Block Filtering\n",
      "***************************************************************************************************************************\n",
      "Method name: Block Filtering\n",
      "Parameters: \n",
      "\tRatio: 0.8\n",
      "Runtime: 0.4790 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      0.25% \n",
      "\tRecall:        99.91%\n",
      "\tF1-score:       0.49%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Μethod:  Cardinality Edge Pruning\n",
      "***************************************************************************************************************************\n",
      "Method name: Cardinality Edge Pruning\n",
      "Parameters: \n",
      "\tNode centric: False\n",
      "\tWeighting scheme: JS\n",
      "Runtime: 2.7094 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      4.71% \n",
      "\tRecall:        98.70%\n",
      "\tF1-score:       8.99%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Μethod:  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: 11.1440 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:     77.78% \n",
      "\tRecall:         1.95%\n",
      "\tF1-score:       3.81%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Μethod:  Connected Components Clustering\n",
      "***************************************************************************************************************************\n",
      "Method name: Connected Components Clustering\n",
      "Parameters: \n",
      "Runtime: 0.0013 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": 8,
   "id": "f01b9916-c30f-4409-b634-45cbcdb3270f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<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>0.739494</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>0.044369</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>0.479028</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>2.709405</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>11.143954</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>0.001340</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "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       0.739494                                    {'Q-Gramms': 3}  \n",
       "1       0.044369  {'Smoothing factor': 1.025, 'Max Comparisons p...  \n",
       "2       0.479028                                     {'Ratio': 0.8}  \n",
       "3       2.709405  {'Node centric': False, 'Weighting scheme': 'JS'}  \n",
       "4      11.143954  {'Metric': 'dice', 'Attributes': None, 'Simila...  \n",
       "5       0.001340                                                 {}  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "w.to_df()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4dad448b-4871-4064-9ae6-ddab6b6149e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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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": 10,
   "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": 11,
   "id": "99758a12-d72b-4c23-9d1f-5a2f453fb7d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6d20ac43ac864d3b842003bf8b289601",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "BlockingBasedWorkFlow-1:   0%|          | 0/5 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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": 12,
   "id": "634f3bcf-bce7-4598-affe-15882fac8947",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building blocks via Embeddings-NN Block Building [sminilm, faiss]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6491a77a825c40959e13f72e25abe023",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Embeddings-NN Block Building [sminilm, faiss]:   0%|          | 0/2152 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Device selected:  cpu\n",
      "***************************************************************************************************************************\n",
      "                                         Μethod:  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: 163.8474 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      9.17% \n",
      "\tRecall:        91.73%\n",
      "\tF1-score:      16.68%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Μethod:  Unique Mapping Clustering\n",
      "***************************************************************************************************************************\n",
      "Method name: Unique Mapping Clustering\n",
      "Parameters: \n",
      "Runtime: 0.1756 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": 13,
   "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>16.132164</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>9.111916</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>164.297292</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      16.132164\n",
       "1    BlockingBasedWorkFlow-1   3.463993   1.765799  90.476190       9.111916\n",
       "2  EmbeddingsNNWorkFlow-Test  76.410999  73.605948  79.438315     164.297292"
      ]
     },
     "execution_count": 13,
     "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": 14,
   "id": "7ddf5fb7-b765-40ec-9008-e8d097d20e6e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***************************************************************************************************************************\n",
      "                                         Μethod:  Standard Blocking\n",
      "***************************************************************************************************************************\n",
      "Method name: Standard Blocking\n",
      "Parameters: \n",
      "Runtime: 0.6960 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      0.12% \n",
      "\tRecall:        99.81%\n",
      "\tF1-score:       0.24%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Μethod:  Block Filtering\n",
      "***************************************************************************************************************************\n",
      "Method name: Block Filtering\n",
      "Parameters: \n",
      "\tRatio: 0.9\n",
      "Runtime: 0.4103 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      0.24% \n",
      "\tRecall:        99.72%\n",
      "\tF1-score:       0.48%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Μethod:  Weighted Edge Pruning\n",
      "***************************************************************************************************************************\n",
      "Method name: Weighted Edge Pruning\n",
      "Parameters: \n",
      "\tNode centric: False\n",
      "\tWeighting scheme: EJS\n",
      "Runtime: 4.4405 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      1.33% \n",
      "\tRecall:        99.54%\n",
      "\tF1-score:       2.63%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Μethod:  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: 2.2846 seconds\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "Performance:\n",
      "\tPrecision:      1.33% \n",
      "\tRecall:        99.54%\n",
      "\tF1-score:       2.63%\n",
      "───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
      "***************************************************************************************************************************\n",
      "                                         Μethod:  Unique Mapping Clustering\n",
      "***************************************************************************************************************************\n",
      "Method name: Unique Mapping Clustering\n",
      "Parameters: \n",
      "Runtime: 0.3374 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>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b8728add-d302-4bce-92da-3e892443fe7b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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