This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import numpy as np | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| import sklearn.metrics as metrics | |
| import numpy as np | |
| from sklearn.neighbors import NearestNeighbors | |
| # This contains a function `find_similar_items` which calculates the most similar items using cosine similarity. |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Object.defineProperty(window, "HelloTypeScript", { value: "v1.0.0", writable: false }); | |
| function deliveryMethod() { | |
| var deliveryElement = document.querySelectorAll('#deliveryMethod'); | |
| if (deliveryElement) { | |
| return deliveryElement[0].textContent; | |
| } | |
| else { | |
| return undefined; | |
| } | |
| } |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| foo |