| import pandas as pd | |
| # http://blog.yhathq.com/static/misc/data/WineKMC.xlsx | |
| df_offers = pd.read_excel("./WineKMC.xlsx", sheetname=0) | |
| df_offers.columns = ["offer_id", "campaign", "varietal", "min_qty", "discount", "origin", "past_peak"] | |
| df_offers.head() | |
| df_transactions = pd.read_excel("./WineKMC.xlsx", sheetname=1) | |
| df_transactions.columns = ["customer_name", "offer_id"] | |
| df_transactions['n'] = 1 | |
| df_transactions.head() |
| """ | |
| This is a batched LSTM forward and backward pass | |
| """ | |
| import numpy as np | |
| import code | |
| class LSTM: | |
| @staticmethod | |
| def init(input_size, hidden_size, fancy_forget_bias_init = 3): |
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| (ns three.demo) | |
| (def THREE js/THREE) | |
| (def camera (THREE.PerspectiveCamera. 75 (/ (.-innerWidth js/window) | |
| (.-innerHeight js/window)) 1 10000)) | |
| (set! (.-z (.-position camera)) 1000) | |
| (def scene (THREE.Scene.)) | |
| (def geometry (THREE.CubeGeometry. 200 200 200)) | |
| (def obj (js/Object.)) | |
| (set! (.-color obj) 0xff0000) | |
| (set! (.-wireframe obj) true) |