ridwanbejo

import tensorflow as tf
import numpy as np
from random import random
from keras.datasets import mnist


ALPHA = 0.05
LEARNING_RATE = 0.1*ALPHA
EPOCHS = 10
NUM_OF_FEATURES = 100

ridwanbejo

import math
import time


class LearningVectorQuantization():

    def __init__(self, alpha=0, learning_rate=0):
        self.weight = {}
        self.learning_rate = learning_rate
        self.alpha = alpha

ridwanbejo

import math

class ActivationFunction():
    def sigmoid(self, x):
        return 1 / (1 + math.exp(-x))


    def binary_hard_limit(self, x):
        if x <= 0:
            return 0

ridwanbejo

library(e1071)
library(gmodels)
library(caret)

# 1. Load dataset from CSV

bank_csv <- read.csv("./Downloads/bank-additional/bank-additional-full.csv", header=TRUE, sep=";")
bank_df <- as.data.frame(bank_csv[1:32951,])
summary(bank_df)

ridwanbejo

library(e1071)
library(gmodels)

# 1. Load dataset from CSV

bank_csv <- read.csv("./Downloads/bank-additional/bank-additional-full.csv", header=TRUE, sep=";")
bank_df <- as.data.frame(bank_csv[1:32951,])
summary(bank_df)

# 2. Do the preprocessing

ridwanbejo

CREATE DATABASE kereta_api_indonesia;

use kereta_api_indonesia;

CREATE TABLE country (
    id_country INT PRIMARY KEY AUTO_INCREMENT,
    name VARCHAR(50) NOT NULL
);

INSERT INTO country (name) VALUES ('Indonesia');

ridwanbejo

class QueueArray(object):

    def create_queue(self):
        self.queue = []

    def destroy_queue(self):
        self.queue = None

    def enqueue(self, nilai):
        if type(self.queue) != None:

ridwanbejo

class StackArray(object):

    """
    Perbandingan sintaks Python dan Java
    - self = this
    - def = function
    - None = null
    """
    def create_stack(self, panjang):
        self.panjang = panjang

ridwanbejo

version: '2'

services:
  portainer:
    image: portainer/portainer
    command: -H unix:///var/run/docker.sock
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
      - portainer_data:/data
    ports:

ridwanbejo

var QUEUE_URL = '<url>/clickstreamQueueDev';
var AWS = require('aws-sdk');
var sqs = new AWS.SQS({region : 'ap-northeast-1'});

exports.handler = function(event, context, callback) {
    var params = {
        MessageBody: event.body,
        QueueUrl: QUEUE_URL
    };