jaume-ferrarons

import gym
from gym import wrappers

import numpy as np
from sklearn import svm

env = gym.make('CartPole-v0')
env = wrappers.Monitor(env, '/tmp/cartpole-experiment-1', force=True)

observations = []

jaume-ferrarons

# https://github.com/datalogai/recurrentshop
# https://github.com/farizrahman4u/seq2seq

import pandas as pd
import numpy as np
import keras
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation
from keras.layers import LSTM
from keras.preprocessing.text import Tokenizer

jaume-ferrarons

{
  "status": "success",
  "processing_time": 4647,
  "job_id": "5c4b0e523ee5ba00168795f6",
  "solution": {
    "routes": [
      {
        "geometry": "qor{FatfLH\\JXPl@XhADJPv@XbAPl@XhA\rAHVJ`@Xe@fBoC`@q@DS@i@^iIIgAK...",
        "vehicle_id": "Car",
        "steps": [

jaume-ferrarons

import gym
from gym import logger as gymlogger
from gym.wrappers import Monitor
import glob
import io
import base64
from IPython.display import HTML, clear_output

from IPython import display as ipythondisplay

jaume-ferrarons

jaume-ferrarons

# Using SOLID principles in Python

##
# Single-responsibility principle (from wikipedia): states that every module, class or function in a computer program should have responsibility over a single part of that program's functionality, which it should encapsulate. All of that module, class or function's services should be narrowly aligned with that responsibility.
##

from typing import Any, List
from abc import ABC, abstractmethod

def data_generator(rows: int = 10) -> List[int]:

jaume-ferrarons

import numpy as np
import math
from pathlib import Path
import shutil
import json

class ELM:
    def __init__(self, n_hidden_units: int) -> None:
        self._n_hidden_units = n_hidden_units
        self._weights_hidden = None