kburaya

{
  "embeddings": [
    {
      "tensorName": "My tensor",
      "tensorShape": [
        1000,
        50
      ],
      "tensorPath": "https://gist.github.com/.../tensors.tsv",
      "metadataPath": "https://gist.github.com/.../optional.metadata.tsv"

kburaya

{
  "embeddings": [
    {
      "tensorName": "My tensor",
      "tensorShape": [
        1000,
        50
      ],
      "tensorPath": "https://gist.github.com/.../tensors.tsv",
      "metadataPath": "https://gist.github.com/.../optional.metadata.tsv"

kburaya

0.003591724416356157	-0.01371068443420861	0.0024355140493743203	0.0077671711045327815	0.000985723752737715	-0.006822224261024653	0.0053702102701985435	-0.0036330443471434704	0.009491709558021151	-0.004810631663664087	-0.005658203108089693	-0.018695008199174072	-0.002487183507797413	-0.0009654356720020178	-0.005833826467311115	-0.0018735254174255336	-0.004623233246501912	-0.009120926232416617	0.000801607315674466	-0.014064457179230293	-0.01711661574820559	0.009696870188103215	-0.0023988258107329897	0.014488139245514411	0.006287399555485842	-0.0076058681706343305	0.007872630864593692	0.01414397892034011	-0.011266709300113862	-0.006689784880609806	0.007933830159416767	-0.010992153489823568	-0.0038915400581664584	-0.009990508876102611	-0.006281532048969791	-0.0054299086315970704	0.0019290447679840112	0.01691204523458407	-0.006874906684643474	-0.005780596084620678	0.02456172364711594	0.001238440323668124	-0.003034166695665028	0.00029992958886569806	-0.012372861327564218	0.00646030290831885	0.0005568640772253275	-0

kburaya

{
  "embeddings": [
    {
      "tensorName": "My tensor",
      "tensorShape": [
        685,
        100
      ],
      "tensorPath": "https://gist.github.com/kburaya/3287db11ac036aa6bf3582b7bafe70cc",
    }

kburaya

from xml.etree import cElementTree as ET
from pymongo import MongoClient
import argparse
import re
import nltk
import string
import pymorphy2
import timeit
from stop_words import get_stop_words
from bson.int64 import Int64

kburaya

import net.bbridge.core.extractor.TopicsFeatureExtractor;
import net.bbridge.core.text.processing.TextProcessor;
import net.bbridge.feature.extractor.text.TextTopicsFeatureExtractor;

import java.io.File;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.HashMap;

kburaya

from random import shuffle
from random import uniform
import math

EDGES_IN_ROUTE = None
GRAPH = None
MUTATION_RATE = 0.15
TOURNAMENT_SIZE = None

kburaya

from sys import stdin
from random import shuffle


def main():
    input = stdin.readline()
    n = int(input.split(' ')[0])
    f = int(input.split(' ')[1])

    indexes = [i for i in range(n)]

kburaya

from sys import stdin
from random import shuffle


def main():
    input = stdin.readline()
    n = int(input.split(' ')[0])
    f = int(input.split(' ')[1])

    indexes = [i for i in range(n)]

kburaya

from sys import stdin
from sys import stdout
from random import shuffle


def main():
    input = stdin.readline()
    n = int(input.split(' ')[0])
    f = int(input.split(' ')[1])