koaning

from flask import Flask
app = Flask(__name__)

@app.route("/")
def hello():
    return "Hello World!"

if __name__ == "__main__":
    app.run()

koaning

import tensorflow as tf
import numpy as np
import os
import uuid

TENSORBOARD_PATH = "/tmp/tensorboard-switchpoint"
# tensorboard --logdir=/tmp/tensorboard-switchpoint

x1 = np.random.randn(35)-1
x2 = np.random.randn(35)*2 + 5

koaning

import tensorflow as tf
import numpy as np
import os
import uuid

TENSORBOARD_PATH = "/tmp/tensorboard-switchpoint"
# tensorboard --logdir=/tmp/tensorboard-switchpoint

x1 = np.random.randn(35) - 1
x2 = np.random.randn(35) * 2 + 5

koaning

import random
import math
from chalice import Chalice

app = Chalice(app_name='sushigo-algorithm')
app.debug = False

def sort_hand(hand, order):
    card_dict = {card: i for i, card in enumerate(order)}
    return sorted(hand, key=lambda x: card_dict[x])

koaning

async def fetch(url, json_body, session):
    async with session.post(url, json=json_body) as response:
        return await response.read()

async def run(json_bodies, n_sim=1000):
    tasks = []
    url = make_url(n_sim=n_sim)
    # Fetch all responses within one Client session,
    # keep connection alive for all requests.
    async with ClientSession(connector=TCPConnector(limit=None), read_timeout=60000, conn_timeout=60000) as session:

koaning

import uuid
import json
import random

import keras
import numpy as np
import tensorflow as tf
import click

koaning

koaning

import numpy as np
import matplotlib.pylab as plt

def run_with_samples(feats=1):
    n = 1000
    xs = np.random.uniform(0, 2, (n, feats))
    ys = 1.5 + xs.sum(axis=1) + np.random.normal(0, 1, (n,))
    
    size_subset = 500
    n_samples = 2000

koaning

language: en
pipeline:
- name: WhitespaceTokenizer
- name: CountVectorsFeaturizer
- name: EmbeddingIntentClassifier
policies:
- name: EmbeddingPolicy
  max_history: 10
  epochs: 100
  batch_size:

koaning

<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.4.1/css/bootstrap.min.css" integrity="sha384-Vkoo8x4CGsO3+Hhxv8T/Q5PaXtkKtu6ug5TOeNV6gBiFeWPGFN9MuhOf23Q9Ifjh" crossorigin="anonymous">

<script src="https://d3js.org/d3.v5.min.js"></script>

<div class="container" style="width=600px; margin: 0 auto;">
    <h2>DIET Interactive Demo</h2>
    <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" version="1.1" width="100%" viewBox="-0.5 -0.5 1832 1057">
        <defs>
            <linearGradient x1="0%" y1="0%" x2="0%" y2="100%" id="mx-gradient-fff2cc-1-ffd966-1-s-0">
                <stop offset="0%" style="stop-color:#fff2cc"/>