{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"## This experiment was performed using LightFM which a very popular recommender module and it has support to take in different data modalities such as text, image, graphical, etc. Please check out their official documentation in the link mentioned below:  \nLink to LightFM:\nmaking.lyst.com/lightfm/docs/home.html  \n\nIt also incorporates Multiprocessing to process predictions for final users\n\nHope you like this notebook, please feel free to vote for this notebook","metadata":{}},{"cell_type":"markdown","source":"## Importing Required Libraries","metadata":{}},{"cell_type":"code","source":"# Importing Libraries\nimport sys, os\nimport re\nimport tqdm\nimport time\nimport pickle\nimport random\nimport itertools\n\nimport pandas as pd\nimport numpy as np\nimport scipy.sparse as sparse\n%matplotlib inline\nimport matplotlib.pyplot as plt\n\n# lightfm \nfrom lightfm import LightFM # model\nfrom lightfm.evaluation import precision_at_k\nfrom lightfm.cross_validation import random_train_test_split\n\n# multiprocessing for inferencing\nfrom multiprocessing import Pool","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:24:43.153762Z","iopub.execute_input":"2022-04-03T05:24:43.154516Z","iopub.status.idle":"2022-04-03T05:24:43.279482Z","shell.execute_reply.started":"2022-04-03T05:24:43.154420Z","shell.execute_reply":"2022-04-03T05:24:43.278652Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"os.environ[\"openblas_set_num_threads\"] = \"1\"\ndata_path = r'../input/h-and-m-personalized-fashion-recommendations/transactions_train.csv'\ncustomer_data_path = r'../input/h-and-m-personalized-fashion-recommendations/customers.csv'\narticle_data_path = r'../input/h-and-m-personalized-fashion-recommendations/articles.csv'\nsubmission_data_path = r'../input/h-and-m-personalized-fashion-recommendations/sample_submission.csv'","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:24:44.443014Z","iopub.execute_input":"2022-04-03T05:24:44.443323Z","iopub.status.idle":"2022-04-03T05:24:44.447631Z","shell.execute_reply.started":"2022-04-03T05:24:44.443277Z","shell.execute_reply":"2022-04-03T05:24:44.447076Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Data Extraction\ndef create_data(datapath, data_type=None):\n    if data_type is None:\n        df = pd.read_csv(datapath)\n    elif data_type == 'transaction':\n        df = pd.read_csv(datapath, dtype={'article_id': str}, parse_dates=['t_dat'])\n    elif data_type == 'article':\n        df = pd.read_csv(datapath, dtype={'article_id': str})\n    return df","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:24:45.052454Z","iopub.execute_input":"2022-04-03T05:24:45.052865Z","iopub.status.idle":"2022-04-03T05:24:45.059846Z","shell.execute_reply.started":"2022-04-03T05:24:45.052834Z","shell.execute_reply":"2022-04-03T05:24:45.059240Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\n\n# Load all sales data (for 3 years starting from 2018 to 2020)\n# ALso, article_id is treated as a string column otherwise it \n# would drop the leading zeros while reading the specific column values\ntransactions_data=create_data(data_path, data_type='transaction')\nprint(transactions_data.shape)\n\n# # Unique Attributes\nprint(str(len(transactions_data['t_dat'].drop_duplicates())) + \"-total No of unique transactions dates in data sheet\")\nprint(str(len(transactions_data['customer_id'].drop_duplicates())) + \"-total No of unique customers ids in data sheet\")\nprint(str(len(transactions_data['article_id'].drop_duplicates())) + \"-total No of unique article ids courses names in data sheet\")\nprint(str(len(transactions_data['sales_channel_id'].drop_duplicates())) + \"-total No of unique sales channels in data sheet\")","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:24:45.621523Z","iopub.execute_input":"2022-04-03T05:24:45.621805Z","iopub.status.idle":"2022-04-03T05:26:20.854592Z","shell.execute_reply.started":"2022-04-03T05:24:45.621773Z","shell.execute_reply":"2022-04-03T05:26:20.853060Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"transactions_data.head()","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:20.857153Z","iopub.execute_input":"2022-04-03T05:26:20.857437Z","iopub.status.idle":"2022-04-03T05:26:20.883994Z","shell.execute_reply.started":"2022-04-03T05:26:20.857405Z","shell.execute_reply":"2022-04-03T05:26:20.883249Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"transactions_data.info()","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:20.885679Z","iopub.execute_input":"2022-04-03T05:26:20.886274Z","iopub.status.idle":"2022-04-03T05:26:20.906072Z","shell.execute_reply.started":"2022-04-03T05:26:20.886227Z","shell.execute_reply":"2022-04-03T05:26:20.905206Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\n\n# Load all Customers\ncustomer_data=create_data(customer_data_path)\nprint(customer_data.shape)\n\nprint(str(len(customer_data['customer_id'].drop_duplicates())) + \"-total No of unique customers ids in customer data sheet\")","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:20.908168Z","iopub.execute_input":"2022-04-03T05:26:20.908374Z","iopub.status.idle":"2022-04-03T05:26:27.096999Z","shell.execute_reply.started":"2022-04-03T05:26:20.908347Z","shell.execute_reply":"2022-04-03T05:26:27.096093Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"customer_data.head()","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2022-04-03T05:26:27.098314Z","iopub.execute_input":"2022-04-03T05:26:27.098556Z","iopub.status.idle":"2022-04-03T05:26:27.113486Z","shell.execute_reply.started":"2022-04-03T05:26:27.098526Z","shell.execute_reply":"2022-04-03T05:26:27.112653Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"customer_data.info()","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:27.115286Z","iopub.execute_input":"2022-04-03T05:26:27.115687Z","iopub.status.idle":"2022-04-03T05:26:27.755386Z","shell.execute_reply.started":"2022-04-03T05:26:27.115653Z","shell.execute_reply":"2022-04-03T05:26:27.754434Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\n\n# Load all Customers\narticle_data=create_data(article_data_path, data_type='article')\nprint(article_data.shape)\n\nprint(str(len(article_data['article_id'].drop_duplicates())) + \"-total No of unique article ids in article data sheet\")","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:27.756896Z","iopub.execute_input":"2022-04-03T05:26:27.757128Z","iopub.status.idle":"2022-04-03T05:26:28.895852Z","shell.execute_reply.started":"2022-04-03T05:26:27.757102Z","shell.execute_reply":"2022-04-03T05:26:28.894660Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"article_data.head()","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:28.898843Z","iopub.execute_input":"2022-04-03T05:26:28.899133Z","iopub.status.idle":"2022-04-03T05:26:28.928321Z","shell.execute_reply.started":"2022-04-03T05:26:28.899103Z","shell.execute_reply":"2022-04-03T05:26:28.927220Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"article_data.info()","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:28.930896Z","iopub.execute_input":"2022-04-03T05:26:28.931235Z","iopub.status.idle":"2022-04-03T05:26:29.117648Z","shell.execute_reply.started":"2022-04-03T05:26:28.931200Z","shell.execute_reply":"2022-04-03T05:26:29.116798Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Capturing Seasonal Effect by Limiting the transaction date  \n\nBased on notebook with link: https://www.kaggle.com/tomooinubushi/folk-of-time-is-our-best-friend/notebook","metadata":{}},{"cell_type":"code","source":"transactions_data = transactions_data[transactions_data['t_dat'] > '2020-08-21']\ntransactions_data.shape","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:29.120794Z","iopub.execute_input":"2022-04-03T05:26:29.121056Z","iopub.status.idle":"2022-04-03T05:26:29.353100Z","shell.execute_reply.started":"2022-04-03T05:26:29.121024Z","shell.execute_reply":"2022-04-03T05:26:29.352184Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Aggregating Customers and Articles irrespective of transaction dates","metadata":{}},{"cell_type":"code","source":"transactions_data = transactions_data.groupby(['customer_id','article_id']).agg({'price':'sum','t_dat':'count'}).reset_index()\ntransactions_data = transactions_data[['customer_id','article_id','price']]","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:29.354497Z","iopub.execute_input":"2022-04-03T05:26:29.354831Z","iopub.status.idle":"2022-04-03T05:26:31.587138Z","shell.execute_reply.started":"2022-04-03T05:26:29.354778Z","shell.execute_reply":"2022-04-03T05:26:31.586401Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Generating user and article index mapping dictionaries","metadata":{}},{"cell_type":"code","source":"def get_customers_list():\n    # Creating a list of users\n    # return np.sort(transactions_data['customer_id'].unique()) TEMP_COMMENT\n    return np.sort(customer_data['customer_id'].unique())\n\ndef get_articles_list():\n    # Creating a list of courses \n    # item_list = transactions_data['article_id'].unique() TEMP_COMMENT\n    item_list = article_data['article_id'].unique()\n    return item_list\n\ndef id_mappings(customers_list, articles_list):\n    \"\"\"\n    \n    Create id mappings to convert user_id, item_id, and feature_id\n    \n    \"\"\"\n    customer_to_index_mapping = {}\n    index_to_customer_mapping = {}\n    for customer_index, customer_id in enumerate(customers_list):\n        customer_to_index_mapping[customer_id] = customer_index\n        index_to_customer_mapping[customer_index] = customer_id\n        \n    article_to_index_mapping = {}\n    index_to_article_mapping = {}\n    for article_index, article_id in enumerate(articles_list):\n        article_to_index_mapping[article_id] = article_index\n        index_to_article_mapping[article_index] = article_id\n        \n    return customer_to_index_mapping, index_to_customer_mapping, \\\n           article_to_index_mapping, index_to_article_mapping","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:31.588785Z","iopub.execute_input":"2022-04-03T05:26:31.589305Z","iopub.status.idle":"2022-04-03T05:26:31.598796Z","shell.execute_reply.started":"2022-04-03T05:26:31.589247Z","shell.execute_reply":"2022-04-03T05:26:31.597875Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"customers = get_customers_list()\narticles = get_articles_list()","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:31.599748Z","iopub.execute_input":"2022-04-03T05:26:31.599993Z","iopub.status.idle":"2022-04-03T05:26:33.693816Z","shell.execute_reply.started":"2022-04-03T05:26:31.599965Z","shell.execute_reply":"2022-04-03T05:26:33.692965Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"customers","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:33.695026Z","iopub.execute_input":"2022-04-03T05:26:33.695264Z","iopub.status.idle":"2022-04-03T05:26:33.701649Z","shell.execute_reply.started":"2022-04-03T05:26:33.695234Z","shell.execute_reply":"2022-04-03T05:26:33.700382Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"articles","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:33.703267Z","iopub.execute_input":"2022-04-03T05:26:33.703828Z","iopub.status.idle":"2022-04-03T05:26:33.717527Z","shell.execute_reply.started":"2022-04-03T05:26:33.703776Z","shell.execute_reply":"2022-04-03T05:26:33.715954Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Generate mapping, LightFM library can't read other than (integer) index\ncustomer_to_index_mapping, index_to_customer_mapping, \\\narticle_to_index_mapping, index_to_article_mapping = id_mappings(customers, articles)","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:33.719780Z","iopub.execute_input":"2022-04-03T05:26:33.720561Z","iopub.status.idle":"2022-04-03T05:26:34.602960Z","shell.execute_reply.started":"2022-04-03T05:26:33.720509Z","shell.execute_reply":"2022-04-03T05:26:34.601986Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Generate Customer Article Interaction Matrix","metadata":{}},{"cell_type":"code","source":"def get_customer_article_interaction(customer_article_amt_df):\n    #start indexing\n    customer_article_amt_df[\"customer_id\"] = customer_article_amt_df[\"customer_id\"]\n    customer_article_amt_df[\"article_id\"] = customer_article_amt_df[\"article_id\"]\n    customer_article_amt_df[\"price\"] = customer_article_amt_df[\"price\"]\n\n    # Preprocessing dataframe created\n    customer_article_amt_df = customer_article_amt_df.rename(columns = {\"price\":\"total_amount_spent\"})\n\n    # Replace Amount Column with category codes \n    customer_article_amt_df['total_amount_spent'] = customer_article_amt_df['total_amount_spent'].astype('category')\n    customer_article_amt_df['total_amount_spent'] = customer_article_amt_df['total_amount_spent'].cat.codes\n\n    return customer_article_amt_df\n\ndef get_interaction_matrix(df, df_column_as_row, df_column_as_col, \n                        df_column_as_value, row_indexing_map, col_indexing_map):\n    \n    row = df[df_column_as_row].apply(lambda x: row_indexing_map[x]).values\n    col = df[df_column_as_col].apply(lambda x: col_indexing_map[x]).values\n    value = df[df_column_as_value].values\n    \n    return sparse.coo_matrix((value, (row, col)), shape = (len(row_indexing_map), len(col_indexing_map)))\n","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:34.604259Z","iopub.execute_input":"2022-04-03T05:26:34.604486Z","iopub.status.idle":"2022-04-03T05:26:34.614264Z","shell.execute_reply.started":"2022-04-03T05:26:34.604459Z","shell.execute_reply":"2022-04-03T05:26:34.613061Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Create customer and article interaction dataframe\ncustomer_to_article = get_customer_article_interaction(customer_article_amt_df = transactions_data[['customer_id','article_id','price']])\nprint(customer_to_article.shape)                                                  ","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:34.616614Z","iopub.execute_input":"2022-04-03T05:26:34.616883Z","iopub.status.idle":"2022-04-03T05:26:34.797968Z","shell.execute_reply.started":"2022-04-03T05:26:34.616853Z","shell.execute_reply":"2022-04-03T05:26:34.796748Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"customer_to_article.head()","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:34.799386Z","iopub.execute_input":"2022-04-03T05:26:34.799633Z","iopub.status.idle":"2022-04-03T05:26:34.811873Z","shell.execute_reply.started":"2022-04-03T05:26:34.799603Z","shell.execute_reply":"2022-04-03T05:26:34.811129Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Generate customer_article_interaction_matrix for train data\ncustomer_to_article_interaction = get_interaction_matrix(customer_to_article, \"customer_id\", \"article_id\", \"total_amount_spent\", \\\n                                                    customer_to_index_mapping, article_to_index_mapping)","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:34.813093Z","iopub.execute_input":"2022-04-03T05:26:34.813311Z","iopub.status.idle":"2022-04-03T05:26:36.441550Z","shell.execute_reply.started":"2022-04-03T05:26:34.813284Z","shell.execute_reply":"2022-04-03T05:26:36.440701Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"customer_to_article_interaction","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:36.442889Z","iopub.execute_input":"2022-04-03T05:26:36.443285Z","iopub.status.idle":"2022-04-03T05:26:36.451156Z","shell.execute_reply.started":"2022-04-03T05:26:36.443242Z","shell.execute_reply":"2022-04-03T05:26:36.449908Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Optimized HyperParameters\n\nBased on notebook in the link: https://www.kaggle.com/rickykonwar/h-m-lightfm-nofeatures-hyperparamter-tuning/notebook","metadata":{}},{"cell_type":"code","source":"optimized_dict = {}\nwith open(r'../input/hm-trained-models/lightfm_optimizedparams/optimized_dict.pkl', 'rb') as input_file:\n    optimized_dict = pickle.load(input_file)","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:36.452787Z","iopub.execute_input":"2022-04-03T05:26:36.453052Z","iopub.status.idle":"2022-04-03T05:26:36.468671Z","shell.execute_reply.started":"2022-04-03T05:26:36.453023Z","shell.execute_reply":"2022-04-03T05:26:36.467685Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"optimized_dict","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:36.470343Z","iopub.execute_input":"2022-04-03T05:26:36.471166Z","iopub.status.idle":"2022-04-03T05:26:36.480126Z","shell.execute_reply.started":"2022-04-03T05:26:36.471076Z","shell.execute_reply":"2022-04-03T05:26:36.479393Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"best_hyperparams = optimized_dict['Amount_Spent']['params']\nnum_epochs = best_hyperparams.pop(\"num_epochs\")","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:36.482503Z","iopub.execute_input":"2022-04-03T05:26:36.483468Z","iopub.status.idle":"2022-04-03T05:26:36.489462Z","shell.execute_reply.started":"2022-04-03T05:26:36.483419Z","shell.execute_reply":"2022-04-03T05:26:36.488514Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Light FM Model Training","metadata":{}},{"cell_type":"code","source":"#### FULL MODEL TRAINING ####\n# Retraining the final model with full dataset\n\"\"\"\nTraining model without any article or customer features\n\"\"\"\nfinal_model_without_feature = LightFM(**best_hyperparams)\n\n# Fitting to combined dataset with pure collaborative filtering result\nstart = time.time() \nfinal_model_without_feature.fit(customer_to_article_interaction,\n                                user_features=None, \n                                item_features=None, \n                                sample_weight=None, \n                                epochs=num_epochs, \n                                num_threads=4, \n                                verbose=False)\nend = time.time()\nprint(\"time taken = {0:.{1}f} seconds\".format(end - start, 2))","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:26:36.490796Z","iopub.execute_input":"2022-04-03T05:26:36.491757Z","iopub.status.idle":"2022-04-03T05:27:53.231899Z","shell.execute_reply.started":"2022-04-03T05:26:36.491723Z","shell.execute_reply":"2022-04-03T05:27:53.231070Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Recommendation sampling and Comparison with Known Positives","metadata":{}},{"cell_type":"code","source":"class recommendation_sampling():\n    def __init__(self, model, items = None, user_to_product_interaction_matrix = None, \n                item_features = None, user2index_map = None):\n        \n        self.user_to_product_interaction_matrix = user_to_product_interaction_matrix\n        self.item_features = item_features if item_features is not None else None\n        self.model = model\n        self.items = items\n        self.user2index_map = user2index_map\n    \n    def recommendation_for_user(self, user, k=3, prediction_type = 'normal'):\n        # Getting the userindex\n        userindex = self.user2index_map.get(user, None)\n        if userindex == None:\n            print(\"User %s not provided during Training the model\" %(user))\n            return None\n\n        # Products already bought\n        known_positives = self.items[self.user_to_product_interaction_matrix.tocsr()[userindex].indices]\n        \n        # Scores from model prediction\n        scores = self.model.predict(user_ids = userindex, item_ids = np.arange(self.user_to_product_interaction_matrix.shape[1])) if prediction_type == 'normal' else \\\n            self.model.predict(user_ids = userindex, item_ids = np.arange(self.user_to_product_interaction_matrix.shape[1]), item_features = self.item_features)\n    \n        # Top items\n        top_items = self.items[np.argsort(-scores)]\n        \n        # Printing out the result\n        print(\"User %s\" % user)\n        print(\"     Known positives:\")\n        for x in known_positives[:k]:\n            print(\"                  %s\" % x)\n            \n        print(\"     Recommended:\")\n        for x in top_items[:k]:\n            print(\"                  %s\" % x)\n\n    def get_recommendation(self, user, k=3, prediction_type = 'normal'):\n        # Getting the userindex\n        userindex = self.user2index_map.get(user, None)\n        if userindex == None:\n            return None\n        \n        # Products already bought\n        known_positives = self.items[self.user_to_product_interaction_matrix.tocsr()[userindex].indices]\n        \n        # Scores from model prediction\n        scores = self.model.predict(user_ids = userindex, item_ids = np.arange(self.user_to_product_interaction_matrix.shape[1])) if prediction_type == 'normal' else \\\n            self.model.predict(user_ids = userindex, item_ids = np.arange(self.user_to_product_interaction_matrix.shape[1]), item_features = self.item_features)\n        \n        # Top items\n        top_items = self.items[np.argsort(-scores)]\n\n        # Returning results\n        recommended_list, recommender_count = [],1\n        for item in top_items[:k]:\n            recommended_list.append({'Priority': recommender_count,'Article': item})\n            recommender_count+=1\n        return known_positives, recommended_list\n    \n    def get_batched_recommendation(self, user, k=3, prediction_type='normal'):\n        # Getting user_indexes \n        user_index = self.user2index_map.get(user, None)\n        if user_index is None:\n            return None\n        \n        # Scores from model\n        scores = self.model.predict(user_ids = user_index, item_ids = np.arange(self.user_to_product_interaction_matrix.shape[1])) if prediction_type == 'normal' else \\\n            self.model.predict(user_ids = user_index, item_ids = np.arange(self.user_to_product_interaction_matrix.shape[1]), item_features = self.item_features)\n    \n        # Top items\n        top_items = self.items[np.argsort(-scores)]\n        \n        return top_items[:k]","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:53.233398Z","iopub.execute_input":"2022-04-03T05:27:53.233810Z","iopub.status.idle":"2022-04-03T05:27:53.251886Z","shell.execute_reply.started":"2022-04-03T05:27:53.233778Z","shell.execute_reply":"2022-04-03T05:27:53.251314Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Giving recommendations\nrecom_without_feature = recommendation_sampling(model = final_model_without_feature,\n                                               items = articles,\n                                               user_to_product_interaction_matrix = customer_to_article_interaction,\n                                               user2index_map = customer_to_index_mapping)","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:53.255037Z","iopub.execute_input":"2022-04-03T05:27:53.255802Z","iopub.status.idle":"2022-04-03T05:27:53.271036Z","shell.execute_reply.started":"2022-04-03T05:27:53.255754Z","shell.execute_reply":"2022-04-03T05:27:53.270179Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"recom_without_feature.recommendation_for_user('00000dbacae5abe5e23885899a1fa44253a17956c6d1c3d25f88aa139fdfc657')\nrecom_without_feature.recommendation_for_user('0000423b00ade91418cceaf3b26c6af3dd342b51fd051eec9c12fb36984420fa')\nrecom_without_feature.recommendation_for_user('000058a12d5b43e67d225668fa1f8d618c13dc232df0cad8ffe7ad4a1091e318')\nrecom_without_feature.recommendation_for_user('00005ca1c9ed5f5146b52ac8639a40ca9d57aeff4d1bd2c5feb1ca5dff07c43e')\nrecom_without_feature.recommendation_for_user('00006413d8573cd20ed7128e53b7b13819fe5cfc2d801fe7fc0f26dd8d65a85a')","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:53.277149Z","iopub.execute_input":"2022-04-03T05:27:53.279065Z","iopub.status.idle":"2022-04-03T05:27:53.509212Z","shell.execute_reply.started":"2022-04-03T05:27:53.279019Z","shell.execute_reply":"2022-04-03T05:27:53.508523Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## MAP@12 Calculation for entire dataset","metadata":{}},{"cell_type":"code","source":"sparse_customer_article_train, sparse_customer_article_test = random_train_test_split(customer_to_article_interaction, test_percentage=0.2, random_state=42)","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:53.510374Z","iopub.execute_input":"2022-04-03T05:27:53.510671Z","iopub.status.idle":"2022-04-03T05:27:53.594029Z","shell.execute_reply.started":"2022-04-03T05:27:53.510628Z","shell.execute_reply":"2022-04-03T05:27:53.592805Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sparse_customer_article_train","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:53.595765Z","iopub.execute_input":"2022-04-03T05:27:53.596424Z","iopub.status.idle":"2022-04-03T05:27:53.603509Z","shell.execute_reply.started":"2022-04-03T05:27:53.596373Z","shell.execute_reply":"2022-04-03T05:27:53.602238Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sparse_customer_article_test","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:53.605620Z","iopub.execute_input":"2022-04-03T05:27:53.606017Z","iopub.status.idle":"2022-04-03T05:27:53.617279Z","shell.execute_reply.started":"2022-04-03T05:27:53.605969Z","shell.execute_reply":"2022-04-03T05:27:53.616084Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Cross Validation methodolody","metadata":{}},{"cell_type":"code","source":"# Initialising model with warp loss function\n'''\nmodel_without_features = LightFM(**best_hyperparams)\n\n# Fitting into user to product interaction matrix only / pure collaborative filtering factor\nstart = time.time()\nmodel_without_features.fit(sparse_customer_article_train,\n                          user_features=None, \n                          item_features=None, \n                          sample_weight=None, \n                          epochs=num_epochs, \n                          num_threads=4,\n                          verbose=False)\nend = time.time()\nprint(\"time taken = {0:.{1}f} seconds\".format(end - start, 2))\n'''","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:53.619287Z","iopub.execute_input":"2022-04-03T05:27:53.619648Z","iopub.status.idle":"2022-04-03T05:27:53.633293Z","shell.execute_reply.started":"2022-04-03T05:27:53.619601Z","shell.execute_reply":"2022-04-03T05:27:53.632150Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Writing Precision Calculation","metadata":{}},{"cell_type":"code","source":"# Precision metric score (ranging from 0 to 1)\n'''\nk = 12\nprecision_without_features = []\nfor precision_k in tqdm.tqdm(range(1,k+1), desc='Calculating Precisions at different k levels'):\n    start = time.time()\n    precision_value = precision_at_k(model = model_without_features, \n                                    train_interactions = sparse_customer_article_train, \n                                    test_interactions = sparse_customer_article_test,\n                                    num_threads = 4, \n                                    k=precision_k,\n                                    check_intersections = True)\n    print('Average Precision@k value for top %s numbered precision = %s' %(str(precision_k), str(precision_value.mean())))\n    precision_without_features.append(precision_value)\n    end = time.time()\n    print(\"Time taken for top %s number precision = %s seconds\" %(str(precision_k), str(round(end-start,2))))\n'''","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:53.634378Z","iopub.execute_input":"2022-04-03T05:27:53.634617Z","iopub.status.idle":"2022-04-03T05:27:53.646641Z","shell.execute_reply.started":"2022-04-03T05:27:53.634586Z","shell.execute_reply":"2022-04-03T05:27:53.645654Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Screenshot of precision calculation\n\n![image.png](attachment:b260e967-1b72-468d-9c4f-b740d7310f19.png)","metadata":{},"attachments":{"b260e967-1b72-468d-9c4f-b740d7310f19.png":{"image/png":"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"}}},{"cell_type":"code","source":"'''\nfrom numpy import save\nsave('./precision_without_features_optimized_01.npy', precision_without_features)\n'''","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:53.648488Z","iopub.execute_input":"2022-04-03T05:27:53.648780Z","iopub.status.idle":"2022-04-03T05:27:53.663712Z","shell.execute_reply.started":"2022-04-03T05:27:53.648747Z","shell.execute_reply":"2022-04-03T05:27:53.662775Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"precision_without_features = np.load('../input/hm-trained-models/lightfm_nofeatures/precision_without_features_optimized_01.npy')","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:53.665340Z","iopub.execute_input":"2022-04-03T05:27:53.665611Z","iopub.status.idle":"2022-04-03T05:27:53.737226Z","shell.execute_reply.started":"2022-04-03T05:27:53.665578Z","shell.execute_reply":"2022-04-03T05:27:53.736338Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Calculating Average Precision@12","metadata":{}},{"cell_type":"code","source":"map_12 = np.sum(precision_without_features, axis=0) / 12","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:53.738746Z","iopub.execute_input":"2022-04-03T05:27:53.739058Z","iopub.status.idle":"2022-04-03T05:27:53.745003Z","shell.execute_reply.started":"2022-04-03T05:27:53.739021Z","shell.execute_reply":"2022-04-03T05:27:53.744260Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Calculating Mean Average Precision","metadata":{}},{"cell_type":"code","source":"print(\"average precision @ 12 without adding item-feature interaction = {0:.{1}f}\".format(map_12.mean(), 3)) ","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:53.746090Z","iopub.execute_input":"2022-04-03T05:27:53.747110Z","iopub.status.idle":"2022-04-03T05:27:53.756784Z","shell.execute_reply.started":"2022-04-03T05:27:53.747039Z","shell.execute_reply":"2022-04-03T05:27:53.756208Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Saving Final Model with any feature","metadata":{}},{"cell_type":"code","source":"with open('model_without_feature_optimized_01.pickle', 'wb') as fle:\n    pickle.dump(final_model_without_feature, fle, protocol=pickle.HIGHEST_PROTOCOL)","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:53.757997Z","iopub.execute_input":"2022-04-03T05:27:53.758346Z","iopub.status.idle":"2022-04-03T05:27:56.709511Z","shell.execute_reply.started":"2022-04-03T05:27:53.758307Z","shell.execute_reply":"2022-04-03T05:27:56.708424Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Extract most sold articles based on Transactions made","metadata":{}},{"cell_type":"code","source":"top_selling_article_list = list((transactions_data['article_id'].value_counts()).index)[:12]\ntop_selling_article_str = ' '.join(top_selling_article_list)","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:56.711090Z","iopub.execute_input":"2022-04-03T05:27:56.711311Z","iopub.status.idle":"2022-04-03T05:27:56.883908Z","shell.execute_reply.started":"2022-04-03T05:27:56.711284Z","shell.execute_reply":"2022-04-03T05:27:56.883197Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"top_selling_article_str","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:56.885294Z","iopub.execute_input":"2022-04-03T05:27:56.885624Z","iopub.status.idle":"2022-04-03T05:27:56.893332Z","shell.execute_reply.started":"2022-04-03T05:27:56.885581Z","shell.execute_reply":"2022-04-03T05:27:56.892436Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Getting Predictions based on submission template","metadata":{}},{"cell_type":"code","source":"submission_data = pd.read_csv(submission_data_path)\nsubmission_data.shape","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:27:56.894727Z","iopub.execute_input":"2022-04-03T05:27:56.895817Z","iopub.status.idle":"2022-04-03T05:28:02.067609Z","shell.execute_reply.started":"2022-04-03T05:27:56.895754Z","shell.execute_reply":"2022-04-03T05:28:02.066475Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission_data.head()","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:28:02.069325Z","iopub.execute_input":"2022-04-03T05:28:02.069650Z","iopub.status.idle":"2022-04-03T05:28:02.082834Z","shell.execute_reply.started":"2022-04-03T05:28:02.069606Z","shell.execute_reply":"2022-04-03T05:28:02.081805Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission_data.loc[submission_data.customer_id.isin([submission_data.customer_id.unique()[0]])].prediction[0].split(' ')","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:28:02.084727Z","iopub.execute_input":"2022-04-03T05:28:02.085025Z","iopub.status.idle":"2022-04-03T05:28:02.812217Z","shell.execute_reply.started":"2022-04-03T05:28:02.084990Z","shell.execute_reply":"2022-04-03T05:28:02.811151Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def create_chunk_indices(meta_df, chunk_idx, chunk_size):\n    '''\n    Function to generate chunks of data for multiprocessing\n    '''\n    start_idx = chunk_idx * chunk_size\n    end_idx = start_idx + chunk_size\n    meta_chunk = meta_df[start_idx:end_idx]\n    print(\"start/end \"+str(chunk_idx+1)+\":\" + str(start_idx) + \",\" + str(end_idx))\n    print(len(meta_chunk))\n    #chunk_idx in return value is used to sort the processed chunks back into original order,\n    return (meta_chunk, chunk_idx)","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:28:02.813663Z","iopub.execute_input":"2022-04-03T05:28:02.813879Z","iopub.status.idle":"2022-04-03T05:28:02.820606Z","shell.execute_reply.started":"2022-04-03T05:28:02.813853Z","shell.execute_reply":"2022-04-03T05:28:02.819420Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def predict_sub_chunks(chunk):\n    final_submission=[]\n    for row in tqdm.tqdm(chunk[0].values):\n        try:\n            preds = recom_without_feature.get_batched_recommendation(row[0], 12)\n            if preds is not None:\n                final_submission.append(' '.join(map(str, preds)))\n            else:\n                final_submission.append(top_selling_article_str)\n        except Exception as ex:\n            print(ex)\n    return final_submission","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:28:02.822463Z","iopub.execute_input":"2022-04-03T05:28:02.822679Z","iopub.status.idle":"2022-04-03T05:28:02.840430Z","shell.execute_reply.started":"2022-04-03T05:28:02.822645Z","shell.execute_reply":"2022-04-03T05:28:02.839238Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"num_cores=4\n\ndef predict_submission(submission_data=None):\n    #splitting here by measurement id's to get all signals for a measurement into single chunk\n    customer_ids = submission_data[\"customer_id\"].unique()\n    df_split = np.array_split(customer_ids, num_cores)\n    chunk_size = len(df_split[0])\n    \n    chunk1 = create_chunk_indices(submission_data, 0, chunk_size)\n    chunk2 = create_chunk_indices(submission_data, 1, chunk_size)\n    chunk3 = create_chunk_indices(submission_data, 2, chunk_size)\n    chunk4 = create_chunk_indices(submission_data, 3, chunk_size)\n    \n    #list of items for multiprocessing, 4 since using 4 cores\n    all_chunks = [chunk1, chunk2, chunk3, chunk4]\n    \n    pool = Pool(num_cores)\n    result = pool.map(predict_sub_chunks, all_chunks)\n    \n    result_combined = list(itertools.chain(result[0], result[1], result[2], result[3]))\n    return result_combined","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:28:02.842170Z","iopub.execute_input":"2022-04-03T05:28:02.842435Z","iopub.status.idle":"2022-04-03T05:28:02.853259Z","shell.execute_reply.started":"2022-04-03T05:28:02.842408Z","shell.execute_reply":"2022-04-03T05:28:02.852602Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### The inferencing is done for first 1024 users in the sample file however you can find the complete prediction file in the dataset:  \nLightFM dataset link: https://www.kaggle.com/rickykonwar/hm-trained-models","metadata":{}},{"cell_type":"code","source":"final_predictions = predict_submission(submission_data[:1024])","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:28:02.854700Z","iopub.execute_input":"2022-04-03T05:28:02.854914Z","iopub.status.idle":"2022-04-03T05:28:15.312874Z","shell.execute_reply.started":"2022-04-03T05:28:02.854888Z","shell.execute_reply":"2022-04-03T05:28:15.311581Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Screenshot of inferencing entire submission data\n\n![image.png](attachment:e7f858f4-adb6-49a4-9ff9-e4f516c0112f.png)","metadata":{},"attachments":{"e7f858f4-adb6-49a4-9ff9-e4f516c0112f.png":{"image/png":"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"}}},{"cell_type":"code","source":"len(final_predictions)","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:28:15.315533Z","iopub.execute_input":"2022-04-03T05:28:15.316889Z","iopub.status.idle":"2022-04-03T05:28:15.327869Z","shell.execute_reply.started":"2022-04-03T05:28:15.316826Z","shell.execute_reply":"2022-04-03T05:28:15.326677Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Writing Intermediate Predictions","metadata":{}},{"cell_type":"code","source":"final_submission_data = submission_data.copy()[:1024]\nfinal_submission_data['prediction'] = final_predictions","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:28:15.329597Z","iopub.execute_input":"2022-04-03T05:28:15.329818Z","iopub.status.idle":"2022-04-03T05:28:15.600620Z","shell.execute_reply.started":"2022-04-03T05:28:15.329792Z","shell.execute_reply":"2022-04-03T05:28:15.599576Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"final_submission_data.head()","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:28:15.602029Z","iopub.execute_input":"2022-04-03T05:28:15.602254Z","iopub.status.idle":"2022-04-03T05:28:15.615658Z","shell.execute_reply.started":"2022-04-03T05:28:15.602226Z","shell.execute_reply":"2022-04-03T05:28:15.614538Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"final_submission_data.to_csv(\"intermediate_submission.csv\", index=False)","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:28:15.617271Z","iopub.execute_input":"2022-04-03T05:28:15.617525Z","iopub.status.idle":"2022-04-03T05:28:15.646106Z","shell.execute_reply.started":"2022-04-03T05:28:15.617495Z","shell.execute_reply":"2022-04-03T05:28:15.645347Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from IPython.display import FileLink\nFileLink(r'intermediate_submission.csv')","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:28:15.647318Z","iopub.execute_input":"2022-04-03T05:28:15.648280Z","iopub.status.idle":"2022-04-03T05:28:15.654949Z","shell.execute_reply.started":"2022-04-03T05:28:15.648238Z","shell.execute_reply":"2022-04-03T05:28:15.653951Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Writing Complete Predictions","metadata":{}},{"cell_type":"code","source":"actual_submission_data = pd.read_csv(r'../input/hm-trained-models/lightfm_nofeatures/submission_optimized_02.csv')\nactual_submission_data.to_csv(\"submission.csv\", index=False)","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:28:15.656478Z","iopub.execute_input":"2022-04-03T05:28:15.657541Z","iopub.status.idle":"2022-04-03T05:28:35.048904Z","shell.execute_reply.started":"2022-04-03T05:28:15.657479Z","shell.execute_reply":"2022-04-03T05:28:35.047950Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from IPython.display import FileLink\nFileLink(r'submission.csv')","metadata":{"execution":{"iopub.status.busy":"2022-04-03T05:28:35.050509Z","iopub.execute_input":"2022-04-03T05:28:35.050723Z","iopub.status.idle":"2022-04-03T05:28:35.057908Z","shell.execute_reply.started":"2022-04-03T05:28:35.050696Z","shell.execute_reply":"2022-04-03T05:28:35.056839Z"},"trusted":true},"execution_count":null,"outputs":[]}]}