Главная
Study mode:
on
1
Introduction
2
Andy Bauman
3
James Hibbard
4
What are models
5
What are visual models
6
Launch MLflow server
7
MLflow UI
8
VegaLite
9
P Sofa
10
Visualization
11
Copy Paste
12
Remove Data
13
Repopulate Data
14
Testing Visualization
15
Editing Visualizations
16
Fake Data
17
Base Visualization
18
Helper Function
19
Register Model
20
Search Model
21
Search Specification
22
Geo Visualization
23
Spec
24
Geojson
25
Cases
26
Filtering
27
Selecting by State
28
Register visualizations
29
Search for statuses
30
Rerun search
31
QA session
32
Demo
33
Style
34
Code snippet
35
Visualization styles
36
Multiple visualization styles
37
Target runtimes
38
QA
Description:
Explore the process of creating and managing multi-layered Vega-Lite visualizations using COVID-19 and Geodata in this 54-minute presentation from Databricks. Learn how to leverage Vega-Lite for encoding visualizations as JSON objects and utilize the MLflow model registry as a visualization registry. Follow along as the presenters demonstrate the creation of complex visualizations, including base visualizations, geo visualizations, and multiple visualization styles. Discover techniques for data manipulation, visualization testing, and editing. Gain insights into using helper functions, registering models, and searching for specifications. The presentation includes a Q&A session and a demo showcasing code snippets, visualization styles, and target runtimes. Access the accompanying GitHub repository and interactive demo for hands-on practice.

Encoding Multi-Layered Vega-Lite COVID-19 Geodata Visualizations with MLflow

Databricks
Add to list
0:00 / 0:00