Skip to content

Some tools to facilitate working with the Google Cloud Prediction API

Notifications You must be signed in to change notification settings

vbrunell/machine-learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 
 
 

Repository files navigation

Machine Learning and the Google API

These are some tools to facilitate working with the Google Cloud Prediction API.

  • datagen contains a python script for generating CSV files to be used as training data. Currently, it generates number/text pairs for use in categorical models. If you'd like to use a regression model with integer column values, simply do not convert the integers to English in the script using inflect.

  • prediction-java contains java code to build a predictive model using the training data you create and save in the bucket associated with your Google Cloud project, and it will query the model with queries you provide. These can be added by modifying the PredictionSample.java file and changing the text in the prediction() function calls.

About

Some tools to facilitate working with the Google Cloud Prediction API

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published