fannix

"""http://stackoverflow.com/questions/6282432/load-sparse-array-from-npy-file
"""
import random
import scipy.sparse as sparse
import scipy.io
import numpy as np

def save_sparse_matrix(filename, x):
    x_coo = x.tocoo()
    row = x_coo.row

SandroLuck

import torch.nn.functional as F
from pytorch_lightning import seed_everything, LightningModule, Trainer
from pytorch_lightning.callbacks import EarlyStopping
from torch import nn, optim, rand, sum as tsum, reshape, save
from torch.utils.data import DataLoader, Dataset

SAMPLE_DIM = 21000

class CustomDataset(Dataset):
    def __init__(self, samples=42):

SandroLuck

import random
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns

get_point = lambda: {'Type': random.choice(['Liker', 'Subscriber', 'Like & Sub']),
                     'Age': random.randint(20, 40),
                     'Gender': random.choice(['M', 'W', 'T']),
                     'MemberSince': random.randint(2010, 2020)}
df = pd.DataFrame([get_point() for i in range(1000)])