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I'm using GCP with GCS and GCMLE APIs to train my model and to predict on the cloud. I'm working on the census dataset. And the goal is to predict a profile's income. this is the github link of codes ...

I am working on GCP to predict, I'm using the census dataset, actually I'm discovering google APIs ( ML Engine ...). When I launch the prediction job , the job runs successfully, but it doesn't ...

I'm experimenting with the language_id.txt dataset from the Google Prediction example. Right now I'm trying to update the model with the following method: def update(label, data) input = @...

I'm building a Docker container to submit ML training jobs using gcloud - the runnable is actually a Python program and gcloud is being executed via subprocess.check_output. Running the program ...

I have searched a lot here but unfortunately could not find an answer. I am running TensorFlow 1.3 (installed via PiP on MacOS) on my local machine, and have created a model using the provided "...

To add words programatically in GBoard i use : UserHistoryDictionary dictionary = new UserHistoryDictionary(this,getResources().getConfiguration().locale,null); dictionary.addUnigramEntry("word1",-1,...

Below is the code import httplib2, argparse, os, sys, json from oauth2client import tools, file, client from oauth2client.service_account import ServiceAccountCredentials from googleapiclient import ...

So basically i am trying to achieve bulk prediction using google prediction API. I can train the model using the simple instructions given in the documentation on link : https://cloud.google.com/...

I am facing problem Uploading data from appengine to deployed model for prediction. The function works fine from my local system, But when I deploy the application I get some error saying that data is ...

I have received tens of thousands of user reviews on the app. I know the meaning of many of the comments are the same. I can not read all these comments. Therefore, I would like to use a python ...

Installed package google cloud language: sudo pip install --upgrade google-cloud-language Created document in local dir: //inbound-byte-154607-ml/Copy of sentiment1.txt Running this script for ...

I have a trained TF model that that operates on a serialized (TFRecord) input. The image data has variable shape and is converted to a 229x229x3 shape via tf.image.resize_images(...). I would like to ...

I have a Prediction app that's based on Google-api-php client version 1.0.0 latest. it's perfectly working in the localhost environment. but when I deploy same exact app into the hosting server ...

I use the PHP 5.4 that comes with XAMPP 1.8.2-6 and try to implement get trainedmodels function with the following code. require_once 'google-api-client/vendor/autoload.php'; $client = new ...

I was just fiddling around different machine learning platforms and was planing to use Google predictive API for creating predictive chat bot. The issue that I am facing now is each request to the ...

I was using googleapis library and successfully authenticate my Service Account credentials using JWT. Then I found out google-cloud library, which has specific modules for Prediction API, but failed ...

For google prediction api in the documentation pages it'showing different quota limits in different places for 10$ plan. In the above link its saying that the prediction limits are 10000/day https:...

Is there a way to predict in bulk a large amount of data using Google Prediction API (about 100 MB)? I see that is it possible to train a model using data stored on Google Cloud Storage. Is it ...

As the title suggests, I have .p12 file required for google service account api access. In order to get the credential to connect to the api, there's a field .setServiceAccountPrivateKey(PrivateKey ...

I got this error message when trying to execute Google Prediction API. raise HttpAccessTokenRefreshError(error_msg, status=resp.status) oauth2client.client.HttpAccessTokenRefreshError: invalid_grant ...

Following instructions from https://cloud.google.com/ml/docs/how-tos/getting-set-up: Created a project and started the Cloud Shell. Ran below script to Install required tools and dependencies curl ...

I trying to use this https://cloud.google.com/ml/reference/rest/v1beta1/projects/predict function. By following this https://cloud.google.com/ml/docs/quickstarts/prediction example I uploaded ...

When I try to install the googlepredictionapi_0.1.tar.gz package in R it says: Installing package into ‘C:/Users/xxx/Documents/R/win-library/3.1’ (as ‘lib’ is unspecified) * installing *source* ...

I'm experimenting with the google prediction API V1.6. I've followed the getting started section, and created a model using the explorer API. Now, my model is ready and the prediction results I get ...

I am looking for example to build a spam detection service in a social network. For example: identify a user posted comment as spam on a social network site (such as facebook). I don't have any ...

I want to develop a app/software which understand text from various input and make Decision according to it. Further if any point the system got confused then user can manual supply the output for ...

I'm working on an Google App Engine (python) based site that allows for user generated content, and voting (like/dislike) on that content. Our designer has, rather nebulously, spec'd that the front ...

In my application I have been calling google prediction API continuously for an array(size: 4000 aprox) of strings. I observed that after some api calls it starts giving response as Undefined, it ...

In my application I have been calling google prediction API continuously for an array(size: 4000 aprox) of strings. I observed that after some api calls it gives response as Undefined, it continues ...

I was trying to implement a simple JavaScript client that will allow me to exploit the google prediction; I tried to mimic the authentication (Oauth 2.0) in this tutorial with google prediction. This ...

I am planning to use Google Prediction API for Sentiment Analysis. How can I generate the Traning model for this? Or where can I have any standard training model available for commercial use? I have ...

I want to build automated FAQ system where user can ask some questions and based on the questions and their answers from the training data, the application would suggest set of answers. Can this be ...

I read the official documentation for the api, but I wanted to make sure that it's possible for it to perform object recognition in images. More specifically, my idea is to provide a lot of images of ...

We are developing a POC in Google's Spreadsheets. There are some configurations, but in a nutshell it downloads data from BigQuery and redirects it to Prediction. Our Bigquery tables have over to ...

I am reading about the Google Prediction API and can't figure out a part of the docs. From the use cases I am stuck a bit on this part: Each line can only have one label assigned, but you can ...

I'm using the the insert function of the google-api-ruby-client and passing in an array of trainingInstances. When I call predict I used to get scores like 0.653264 and 0.346736 (using two output ...

i'm trying to use Google Prediction API, I have added a new model via API call and now i'm trying to train it via API update calls. i managed to update it but from some reason some data is missing for ...

What on earth I'm living on, I dont know what mistakes I've done. Only tab, no space. I grab this code from this tutorial, http://cloudacademy.com/blog/google-prediction-api/. (BTW I'm using PyCharm ...

I run a download portal and basically what I want to do is after a user downloads a file i would like to recommend other related categories. I'm thinking of using google predict to do this but I'm not ...

EDIT: I'm trying to classify new user review to predefined set of tags. Each review can have multiple tags associated to it. I've mapped my DB user reviews to 15 categories, The following example ...

Any experience on how to specify the Google prediction buckets. I went ahead and created a bucket in Storage --> Cloud Storage --> Browser by clicking button Create bucket. I named the bucket a unique ...

Trying to harness the power of Google Prediction API, to classify my data. Each item in my DB can have multi categories assign to it. For example: "My Nexus phone is rebooting constantly" could be ...

Above code was written in intellij IDEA trying to implement Google Prediction API. var prediction= require('../googleapis/apis/prediction/v1.6'); var params = { project: "...

I'm trying to run PredictionSample in google-api-java-client-samples. But I get import error. Project can't find Training.java file in google client library. I have imported all the required libraries ...

I am using the app script provided by Google to access their prediction API through sheets. I am trying to predict thousands of rows at once, however, after 6 minutes the maximum execution time is ...

Does anyone know where I can find the algorithm Google Hangout uses to predict facial movements? I need it for a University project. Would love to look at the source code of it. I'm trying to find ...

I have downloaded the sample command line program for prediction api and imported in eclipse as mention here . I have imported that sample program and replaced the content of client_secrets.json with ...

A recent announcement by Google about the Google Prediction API sounded very interesting. It could be useful for a project that is coming up, and would probably do a better job than some custom code I ...

I have a practice project given to me by an advisor that asks me to write a python script to access a model I trained with the Prediction API using the API Explorer. I have two questions regarding ...

Here is the data set https://gist.github.com/kirkstrobeck/d8b768867890807f9dc9 When using Google Prediction API it will go from RUNNING for about 30 minutes, then ERROR: INTERNAL ERROR. Why does it ...

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