![Step 3: Predict
Apply the trained model to make predictions on new data
POST prediction/v1.1/query/mybucket%2Fmydata/predict
{ "data":{
"input": { "text" : [
"J'aime X! C'est le meilleur" ]}}}](https://image.slidesharecdn.com/devfest10madridcloudtechfinal-100924111809-phpapp02/85/Intro-to-new-Google-cloud-technologies-Google-Storage-Prediction-API-BigQuery-25-320.jpg)
![Step 3: Predict
Apply the trained model to make predictions on new data
POST prediction/v1.1/query/mybucket%2Fmydata/predict
{ "data":{
"input": { "text" : [
"J'aime X! C'est le meilleur" ]}}}
{ data : {
"kind" : "prediction#output",
"outputLabel":"French",
"outputMulti" :[
{"label":"French", "score": x.xx}
{"label":"English", "score": x.xx}
{"label":"Spanish", "score": x.xx}]}}](https://image.slidesharecdn.com/devfest10madridcloudtechfinal-100924111809-phpapp02/85/Intro-to-new-Google-cloud-technologies-Google-Storage-Prediction-API-BigQuery-26-320.jpg)
![BigQuery via REST
GET /bigquery/v1/tables/{table name}
GET /bigquery/v1/query?q={query}
Sample JSON Reply:
{
"results": {
"fields": { [
{"id":"COUNT(*)","type":"uint64"}, ... ]
},
"rows": [
{"f":[{"v":"2949"}, ...]},
{"f":[{"v":"5387"}, ...]}, ... ]
}
}
Also supports JSON-RPC](https://image.slidesharecdn.com/devfest10madridcloudtechfinal-100924111809-phpapp02/85/Intro-to-new-Google-cloud-technologies-Google-Storage-Prediction-API-BigQuery-37-320.jpg)
Intro to new Google cloud technologies: Google Storage, Prediction API, BigQuery
- 2. Introducción a las nuevas tecnologías de plataforma cloud de Google APIs de Almacenamiento, Predicción y BigQuery Chris Schalk Sept 23rd, 2010
- 3. Agenda Google Storage for Developers Prediction API & BigQuery
- 4. Google Storage for Developers Store your data in Google's cloud
- 5. What Is Google Storage? Store your data in Google's cloud any format, any amount, any time You control access to your data private, shared, or public Access via Google APIs or 3rd party tools/libraries
- 6. Sample Use Cases Static content hosting e.g. static html, images, music, video Backup and recovery e.g. personal data, business records Sharing e.g. share data with your customers Data storage for applications e.g. used as storage backend for Android, AppEngine, Cloud based apps Storage for Computation e.g. BigQuery, Prediction API
- 7. Google Storage Benefits High Performance and Scalability Backed by Google infrastructure Strong Security and Privacy Control access to your data Easy to Use Get started fast with Google & 3rd party tools
- 8. Google Storage Technical Details RESTful API Verbs: GET, PUT, POST, HEAD, DELETE Resources: identified by URI Compatible with S3 Buckets Flat containers Objects Any type Size: 100 GB / object Access Control for Google Accounts For individuals and groups Two Ways to Authenticate Requests Sign request using access keys Web browser login
- 9. Performance and Scalability Objects of any type and 100 GB / Object Unlimited numbers of objects, 1000s of buckets All data replicated to multiple US data centers Leveraging Google's worldwide network for data delivery Only you can use bucket names with your domain names Read-your-writes data consistency Range Get
- 10. Security and Privacy Features Key-based authentication Authenticated downloads from a web browser Sharing with individuals Group sharing via Google Groups Access control for buckets and objects Set Read/Write/List permissions
- 11. Demo Tools: GS Manager GSUtil Upload / Download
- 12. Google Storage usage within Google Google Google BigQuery Prediction API Haiti Relief Imagery USPTO data Partner Reporting Partner Reporting
- 13. Some Early Google Storage Adopters
- 14. Google Storage - Pricing Storage $0.17/GB/Month Network Upload - $0.10/GB Download $0.15/GB Americas / EMEA $0.30/GB APAC Requests PUT, POST, LIST - $0.01 / 1000 Requests GET, HEAD - $0.01 / 10000 Requests
- 15. Google Storage - Availability Limited preview in US currently 100GB free storage and network from Google per account Sign up for waitlist at http://code.google.com/apis/storage/ Note: Non US preview available on case-by-case basis
- 16. Google Storage Summary Store any kind of data using Google's cloud infrastructure Easy to Use APIs Many available tools and libraries gsutil, GS Manager 3rd party: Boto, CloudBerry, CyberDuck, JetS3t, and more
- 17. Google Prediction API Google's prediction engine in the cloud
- 18. Introducing the Google Prediction API Google's sophisticated machine learning technology Available as an on-demand RESTful HTTP web service
- 19. How does it work? "english" The quick brown fox jumped over the The Prediction API lazy dog. finds relevant "english" To err is human, but to really foul things features in the up you need a computer. sample data during "spanish" No hay mal que por bien no venga. training. "spanish" La tercera es la vencida. The Prediction API later searches for ? To be or not to be, that is the question. those features ? La fe mueve montañas. during prediction.
- 20. A virtually endless number of applications... Customer Transaction Species Message Diagnostics Sentiment Risk Identification Routing Churn Legal Docket Suspicious Work Roster Inappropriate Prediction Classification Activity Assignment Content Recommend Political Uplift Email Career Products Bias Marketing Filtering Counselling ... and many more ...
- 21. A Prediction API Example Automatically categorize and respond to emails by language Customer: ACME Corp, a multinational organization Goal: Respond to customer emails in their language Data: Many emails, tagged with their languages Outcome: Predict language and respond accordingly
- 22. Using the Prediction API A simple three step process... Upload your training data to 1. Upload Google Storage Build a model from your data 2. Train 3. Predict Make new predictions
- 23. Step 1: Upload Upload your training data to Google Storage Training data: outputs and input features Data format: comma separated value format (CSV) "english","To err is human, but to really ..." "spanish","No hay mal que por bien no venga." ... Upload to Google Storage gsutil cp ${data} gs://yourbucket/${data}
- 24. Step 2: Train Create a new model by training on data To train a model: POST prediction/v1.1/training?data=mybucket%2Fmydata Training runs asynchronously. To see if it has finished: GET prediction/v1.1/training/mybucket%2Fmydata {"data":{ "data":"mybucket/mydata", "modelinfo":"estimated accuracy: 0.xx"}}}
- 25. Step 3: Predict Apply the trained model to make predictions on new data POST prediction/v1.1/query/mybucket%2Fmydata/predict { "data":{ "input": { "text" : [ "J'aime X! C'est le meilleur" ]}}}
- 26. Step 3: Predict Apply the trained model to make predictions on new data POST prediction/v1.1/query/mybucket%2Fmydata/predict { "data":{ "input": { "text" : [ "J'aime X! C'est le meilleur" ]}}} { data : { "kind" : "prediction#output", "outputLabel":"French", "outputMulti" :[ {"label":"French", "score": x.xx} {"label":"English", "score": x.xx} {"label":"Spanish", "score": x.xx}]}}
- 27. Step 3: Predict Apply the trained model to make predictions on new data import httplib header = {"Content-Type" : "application/json"}#...put new data in JSON format in params variable conn = httplib.HTTPConnection("www.googleapis.com")conn.request ("POST", "/prediction/v1.1/query/mybucket%2Fmydata/predict", params, header) print conn.getresponse()
- 28. Prediction API Capabilities Data Input Features: numeric or unstructured text Output: up to hundreds of discrete categories Training Many machine learning techniques Automatically selected Performed asynchronously Access from many platforms: Web app from Google App Engine Apps Script (e.g. from Google Spreadsheet) Desktop app
- 29. Prediction API v1.1 - new features Updated Syntax Multi-category prediction Tag entry with multiple labels Continuous Output Finer grained prediction rankings based on multiple labels Mixed Inputs Both numeric and text inputs are now supported Can combine continuous output with mixed inputs
- 30. Google BigQuery Interactive analysis of large datasets in Google's cloud
- 31. Introducing Google BigQuery Google's large data adhoc analysis technology Analyze massive amounts of data in seconds Simple SQL-like query language Flexible access REST APIs, JSON-RPC, Google Apps Script
- 32. Why BigQuery? Working with large data is a challenge
- 33. Many Use Cases ... Interactive Trends Spam Tools Detection Web Network Dashboards Optimization
- 34. Key Capabilities of BigQuery Scalable: Billions of rows Fast: Response in seconds Simple: Queries in SQL Web Service REST JSON-RPC Google App Scripts
- 35. Using BigQuery Another simple three step process... Upload your raw data to 1. Upload Google Storage Import raw data into 2. Import BigQuery table 3. Query Perform SQL queries on table
- 36. Writing Queries Compact subset of SQL SELECT ... FROM ... WHERE ... GROUP BY ... ORDER BY ... LIMIT ...; Common functions Math, String, Time, ... Statistical approximations TOP COUNT DISTINCT
- 37. BigQuery via REST GET /bigquery/v1/tables/{table name} GET /bigquery/v1/query?q={query} Sample JSON Reply: { "results": { "fields": { [ {"id":"COUNT(*)","type":"uint64"}, ... ] }, "rows": [ {"f":[{"v":"2949"}, ...]}, {"f":[{"v":"5387"}, ...]}, ... ] } } Also supports JSON-RPC
- 38. Security and Privacy Standard Google Authentication Client Login OAuth AuthSub HTTPS support protects your credentials protects your data Relies on Google Storage to manage access
- 39. Large Data Analysis Example Wikimedia Revision History Wikimedia Revision history data from: http://download.wikimedia. org/enwiki/latest/enwiki-latest-pages-meta-history.xml.7z
- 40. Using BigQuery Shell Python DB API 2.0 + B. Clapper's sqlcmd http://www.clapper.org/software/python/sqlcmd/
- 41. BigQuery from a Spreadsheet
- 42. BigQuery from a Spreadsheet
- 43. Recap Google Storage High speed data storage on Google Cloud Prediction API Google's machine learning technology able to predict outcomes based on sample data BigQuery Interactive analysis of very large data sets Simple SQL query language access
- 44. Further info available at: Google Storage for Developers http://code.google.com/apis/storage Prediction API http://code.google.com/apis/prediction BigQuery http://code.google.com/apis/bigquery