Michelle Tanco mtanco

## dai_unsupervised.ipynb

      
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                mtanco
                / dai_unsupervised.ipynb
            
            
              Created
              July 13, 2022 04:09
            
              
                Running all unsupervised model types on a dataset with Driverless AI.
              
          
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## wave_home_header_image.py
from h2o_wave import main, app, Q, ui, on, handle_on


@app('/')
async def serve(q: Q):
    print(q.args)

    # First time a browser comes to the app
    if not q.client.initialized:
        await init(q)

## mlops_deployment_app.py
import json
import requests

from h2o_wave import main, app, Q, ui, expando_to_dict


ENDPOINT = "https://model.DOMAIN.h2o.ai/MODELID/model"
APP_TITLE = "My Use Case"


## stream_text.py
"""
Demo of Updating App Data in one card of an app
"""
from random import randint

from h2o_wave import Q, app, handle_on, main, on, ui


@app("/")
async def serve(q: Q):

## clickable_wave_table.py
from h2o_wave import main, app, Q, ui
import pandas as pd
import numpy as np


@app('/')
async def serve(q: Q):
    print(q.args)

    if not q.client.initialized:

## mlops_predictions.py
import json

import numpy as np
import pandas as pd
import requests

"""
Suggestions on how to use this in an H2O Wave app:
1. Have a page with a textbox asking users for a URL of a REST endpoint
2. Allow users to upload a CSV with new data

## stock_ticker_wave.py
from h2o_wave import main, app, ui, Q, on, handle_on, data

from pandas_datareader import data as web
import pandas as pd
from datetime import datetime as dt


@app("/")
async def serve(q: Q):
    stock = q.args["my-dropdown"] or "COKE"

## ScheduledInteractiveApp.py
import random

from apscheduler.schedulers.asyncio import AsyncIOScheduler
from h2o_wave import main, app, Q, ui, handle_on, on, data


SCHEDULER = AsyncIOScheduler()


@app('/')

## wave_background_tests.py
import time
import random

from h2o_wave import main, app, Q, ui


def sleeper_agent(secs) -> str:
    time.sleep(secs)  # Blocks!
    return f'Done waiting for {secs} seconds!'

## permanate_cards.py
from datetime import datetime

from h2o_wave import main, app, Q, ui, on, handle_on
from loguru import logger


def on_startup():
    logger.info('http://localhost:10101')
	from h2o_wave import main, app, Q, ui, on, handle_on


	@app('/')
	async def serve(q: Q):
	print(q.args)

	# First time a browser comes to the app
	if not q.client.initialized:
	await init(q)
	import json
	import requests

	from h2o_wave import main, app, Q, ui, expando_to_dict


	ENDPOINT = "https://model.DOMAIN.h2o.ai/MODELID/model"
	APP_TITLE = "My Use Case"
	"""
	Demo of Updating App Data in one card of an app
	"""
	from random import randint

	from h2o_wave import Q, app, handle_on, main, on, ui


	@app("/")
	async def serve(q: Q):
	from h2o_wave import main, app, Q, ui
	import pandas as pd
	import numpy as np


	@app('/')
	async def serve(q: Q):
	print(q.args)

	if not q.client.initialized:
	from h2o_wave import main, app, ui, Q, on, handle_on, data

	from pandas_datareader import data as web
	import pandas as pd
	from datetime import datetime as dt


	@app("/")
	async def serve(q: Q):
	stock = q.args["my-dropdown"] or "COKE"
	import random

	from apscheduler.schedulers.asyncio import AsyncIOScheduler
	from h2o_wave import main, app, Q, ui, handle_on, on, data


	SCHEDULER = AsyncIOScheduler()


	@app('/')
	import time
	import random

	from h2o_wave import main, app, Q, ui


	def sleeper_agent(secs) -> str:
	time.sleep(secs) # Blocks!
	return f'Done waiting for {secs} seconds!'
	from datetime import datetime

	from h2o_wave import main, app, Q, ui, on, handle_on
	from loguru import logger


	def on_startup():
	logger.info('http://localhost:10101')