Updated READMEs to use Markdown format.
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README.md
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README.md
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== APIClient
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# APIClient
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Homepage:: google-api-ruby-client[http://code.google.com/p/google-api-ruby-client/]
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<dl>
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Authors:: Bob Aman (mailto:bobaman@google.com), Matt Pokrzywa (mailto:mattpok@google.com)
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<dt>Homepage</dt><dd><a href="http://code.google.com/p/google-api-ruby-client">http://code.google.com/p/google-api-ruby-client</a></dd>
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Copyright:: Copyright 2010 Google Inc.
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<dt>Author</dt><dd><a href="mailto:bobaman@google.com">Bob Aman</a></dd>
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License:: Apache 2.0
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<dt>Copyright</dt><dd>Copyright © 2011 Google, Inc.</dd>
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<dt>License</dt><dd>Apache 2.0</dd>
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</dl>
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== Description
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# Description
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The Google API Ruby Client makes it trivial to discover and access supported
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The Google API Ruby Client makes it trivial to discover and access supported
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APIs.
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APIs.
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== Example Usage
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# Example Usage
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# Initialize the client
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# Initialize the client
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require 'google/api_client'
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require 'google/api_client'
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@ -53,16 +55,15 @@ APIs.
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)
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)
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status, headers, body = response
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status, headers, body = response
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== Install
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# Install
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Be sure both http://gems.github.com/ and http://rubygems.org/ are in your gem
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Be sure `http://rubygems.org/` is in your gem sources.
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sources.
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For normal client usage, this is sufficient:
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For normal client usage, this is sufficient:
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sudo gem install google-api-client
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$ sudo gem install google-api-client
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The command line interface, the example applications, and the test suite
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The command line interface, the example applications, and the test suite
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require additional dependencies. These may be obtained with:
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require additional dependencies. These may be obtained with:
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sudo gem install google-api-client --development --force --no-rdoc --no-ri
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$ sudo gem install google-api-client --development --force --no-rdoc --no-ri
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APIs Console Project Setup:
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APIs Console Project Setup
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------------
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--------------------------
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If you have not yet, you must set your APIs Console project to enable Prediction
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If you have not yet, you must set your APIs Console project to enable Prediction
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API and Google Storage. Go to APIs Console https://code.google.com/apis/console/
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API and Google Storage. Go to APIs Console https://code.google.com/apis/console/
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and select the project you want to use. Next, go to Services, and enable both
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and select the project you want to use. Next, go to Services, and enable both
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@ -7,7 +7,7 @@ Prediction API and Google Storage. You may also need to enable Billing (Billing)
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in the left menu.
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in the left menu.
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Data Setup:
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Data Setup
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----------
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----------
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Before you can run the prediction sample prediction.rb, you must load some csv
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Before you can run the prediction sample prediction.rb, you must load some csv
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formatted data into Google Storage.
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formatted data into Google Storage.
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@ -15,7 +15,7 @@ formatted data into Google Storage.
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1 - You must first create the bucket you want to use. This can be done
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1 - You must first create the bucket you want to use. This can be done
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with the gsutil function or via the web UI (Storage Access) in the Google
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with the gsutil function or via the web UI (Storage Access) in the Google
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APIs Console. i.e.
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APIs Console. i.e.
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# gsutil mb gs://BUCKET
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`$ gsutil mb gs://BUCKET`
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OR
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OR
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@ -25,12 +25,12 @@ and create your bucket there.
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2 - We now load the data you want to use to Google Storage. We have supplied a
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2 - We now load the data you want to use to Google Storage. We have supplied a
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basic language identification dataset in the sample for testing.
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basic language identification dataset in the sample for testing.
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# chmod 744 setup.sh
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`$ chmod 744 setup.sh`
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# ./setup.sh BUCKET/OBJECT
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`$ ./setup.sh BUCKET/OBJECT`
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Note you need gsutil in your path for this to work.
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Note you need gsutil in your path for this to work.
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If you have your own dataset, you can do this manually as well.
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If you have your own dataset, you can do this manually as well.
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gsutil cp your_dataset.csv gs://BUCKET/your_dataset.csv
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`$ gsutil cp your_dataset.csv gs://BUCKET/your_dataset.csv`
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In the script, you must then modify the datafile string. This must correspond with the
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In the script, you must then modify the datafile string. This must correspond with the
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@ -38,7 +38,7 @@ bucket/object of your dataset (if you are using your own dataset). We have
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provided a setup.sh which will upload some basic sample data. The section is
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provided a setup.sh which will upload some basic sample data. The section is
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near the bottom of the script, under 'FILL IN DATAFILE'
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near the bottom of the script, under 'FILL IN DATAFILE'
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API setup:
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API Setup
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---------
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---------
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We need to allow the application to use your API access. Go to APIs Console
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We need to allow the application to use your API access. Go to APIs Console
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https://code.google.com/apis/console, and select the project you want, go to API
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https://code.google.com/apis/console, and select the project you want, go to API
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@ -51,8 +51,8 @@ API. You can also set it up so the user can grant access.
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First, run the google-api script to generate access and refresh tokens. Ex.
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First, run the google-api script to generate access and refresh tokens. Ex.
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# cd google-api-ruby-client
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`$ cd google-api-ruby-client`
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# ruby bin/google-api oauth-2-login --scope=https://www.googleapis.com/auth/prediction --client-id=NUMBER.apps.googleusercontent.com --client-secret=CLIENT_SECRET
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`$ ruby bin/google-api oauth-2-login --scope=https://www.googleapis.com/auth/prediction --client-id=NUMBER.apps.googleusercontent.com --client-secret=CLIENT_SECRET`
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Fill in your client-id and client-secret from the API Access page. You will
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Fill in your client-id and client-secret from the API Access page. You will
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probably have to set a redirect URI in your client ID
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probably have to set a redirect URI in your client ID
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@ -70,8 +70,8 @@ you are loading it as a yaml, ensure you rename/move the file, as the
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move the .google-api.yaml file to the sample directory.
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move the .google-api.yaml file to the sample directory.
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Usage :
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Usage
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-------
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-----
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At this, point, you should have
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At this, point, you should have
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- Enabled your APIs Console account
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- Enabled your APIs Console account
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- Created a storage bucket, if required
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- Created a storage bucket, if required
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@ -81,19 +81,14 @@ At this, point, you should have
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loading the generated .yaml file
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loading the generated .yaml file
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We can now run the service!
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We can now run the service!
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# ruby prediction.rb
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`$ ruby prediction.rb`
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This should start a service on http://localhost:4567. When you hit the service,
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This should start a service on `http://localhost:4567`. When you hit the service,
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your ruby logs should show the Prediction API calls, and print the prediction
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your ruby logs should show the Prediction API calls, and print the prediction
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output in the debug.
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output in the debug.
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This sample currently does not cover some newer features of Prediction API such
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This sample currently does not cover some newer features of Prediction API such
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as streaming training, hosted models or class weights. If there are any
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as streaming training, hosted models or class weights. If there are any
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questions or suggestions to improve the script please email us at
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questions or suggestions to improve the script please email us at
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prediction-api-discuss@googlegroups.com.
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prediction-api-discuss@googlegroups.com.
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