franckjay

"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.

"""
inData.head()

def buildConvModel(nFilters,lenFilters,windowSize,nFeat):
    
    model = Sequential((
        #Layer 1: 1D Convolution

franckjay

Verifying my Blockstack ID is secured with the address 
1PNzdnhcrJtu5fdu7DEfiee7MBD8A1H24h https://explorer.blockstack.org/address/1PNzdnhcrJtu5fdu7DEfiee7MBD8A1H24h

franckjay

04642eb14538f598ca95458a2e38d3360ce813394feb09c36b21b511416f489c62bcbd539f4584d194bd5f9ff8fa04c5fb70284880298a5bbd89a38807c2deebd1;elaberge

franckjay

import logging as logger
from flask import Blueprint, jsonify, request
from .GoodReadsGraph import BuildGraph
main = Blueprint('main', __name__)
logger.debug("App starting")
# Build our Graph
BigGraph, titles_dict = BuildGraph()
logger.debug("Graph is built service")
output_URL = ""
@main.route('/input_book', methods=['POST'])

franckjay

import logging as logger
from flask import Flask
def create_app():
    app = Flask(__name__)
    from .app import main
    app.register_blueprint(main)
    
    logger.debug("App registered")
    return app

franckjay

class Graph(object):
    def __init__(self, reads):
        """
        """
        # Edges in our graph
        self.reads = reads


    def _find_a_user(self, input_User, debug=False):
        """

franckjay

class Read(object):
    def __init__(self, User, Book, Author, rating=None):
        """
        The edge connecting User, Book, and Author nodes
        """
        if Book not in User.shelf:
            User.shelf.append((Book, rating)) # User read this book and rated it.
        if Author not in User.author_list:
            User.author_list.append(Author)
        self.user = User

franckjay

class User(object):
    def __init__(self,user_id):
        self.user_id = user_id
        self.shelf = [] # Books read
        self.author_list = [] # Authors read
class Book(object):
    def __init__(self, book_id, Author, ratings_5, popularity, image_url):
        self.book_id = book_id
        self.author = Author
        self.author_id = Author.author_id

franckjay

import React, {Component} from "react";
import './App.css';
import { Container } from "semantic-ui-react";
import { BookEntry } from "./components/BookEntry";
import { GrabBook } from "./components/GrabBook";
// Want to build this App?
//    $ npm start
// Inside the directory with the src/ directory
function App() {
  return (

franckjay

import React, { useState } from 'react';
import { Form, Input, Button } from 'semantic-ui-react';


export const BookEntry = ()  => {
  const [title, setTitle] = useState(''); //  Empty String
  return (
    <Form>
      <Form.Field>
        <Input