*Introduction*
The Google Prediction API provides pattern-matching and machine learning
capabilities. Given a set of data examples to train against, you can create
applications that can perform the following tasks:
* Given a user's past viewing habits, predict what other movies or products
a user
Hi,
All the methods will be implemented except getTrainedModel()
If that is the case this looks good.
Best Regards,
Malaka
On Fri, May 30, 2014 at 8:37 AM, Rasika Hettige wrote:
> *Introduction*
> The Google Prediction API provides pattern-matching and machine learning
> capabilities. Given
Hi Malaka,
The final list of methods that will implement under GooglePrediction
connector is as follows.
*Hostedmodels*
predictHostedModel - To do a prediction against a hosted model
*Trainedmodels*
analyzeTrainedModel - Get analysis of the model and the data the model was
trained on.
deleteTr
Hi Rasika,
Do you know what is used to train the models? (regression analysis/ neural
networks or something else?)
Seshika
On Tue, Jun 3, 2014 at 10:06 AM, Rasika Hettige wrote:
> Hi Malaka,
>
> The final list of methods that will implement under GooglePrediction
> connector is as follows.
>
Hi Seshika,
As per the Google prediction documentation [1], you can train the models
using regression model (if the answer column is numeric) or categorical
model (if the answer column is string).
[1] https://developers.google.com/prediction/docs/developer-guide
Thanks & Regards
Rasika
--
V
Let's go with this method list for v1
On Tue, Jun 3, 2014 at 11:06 AM, Rasika Hettige wrote:
> Hi Seshika,
>
> As per the Google prediction documentation [1], you can train the models
> using regression model (if the answer column is numeric) or categorical
> model (if the answer column is str
Thanks Shevan, will proceed with this method list.
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