gcloud

I used the following tutorial to use my Scikit-learn sentiment-analysis model in Google Cloud: https://cloud.google.com/ml-engine/docs/scikit/quickstart My model defined as follows: import csv import os from collections import defaultdict import sys import re import numpy as np import random import math import sklearn.datasets from sklearn.feature_extraction.text import CountVectorizer from sklearn.feature_extraction.text import TfidfTransformer from sklearn.naive_bayes import MultinomialNB from sklearn.pipeline import Pipeline from sklearn.linear_model import SGDClassifier from sklearn import

I am trying to use Google Cloud ML to host a Tensorflow model and get predictions. I have a pretrained model that I have uploaded to the cloud and I have created a model and version in my Cloud ML console. I followed the instructions from here to prepare my data for requesting online predictions. For both the Python method and the glcoud method I get the same error. For simplicity, I'll post the gcloud method: I run gcloud ml-engine predict --model spell_correction --json-instances test.json where test.json is my input data file (a JSON array named instances ). I get the following result:

I'm looking for way to make sure the files I deploy to Google AppEngine (Python) using gcloud app deploy are only the files I need. In the log file it only list files that are skipped but not the files that are deployed. Is there a way to see this list? Dan Cornilescu All the files and directories present or sym-linked under an app service/module directory (i.e. the directory where the respective service/module's .yaml file exists) will be deployed when the respective app service/module is deployed, unless they're skipped files (i.e. they match the default or configured skip_files patterns -

I'm trying to use the gcloud console through the browser. When I clone my repository and start the dev server, I get a runtime error from metrics: $ dev_appserver.py $PWD Traceback (most recent call last): File "/google/google-cloud-sdk/platform/google_appengine/dev_appserver.py", line 101, in <module> _run_file(__file__, globals()) File "/google/google-cloud-sdk/platform/google_appengine/dev_appserver.py", line 97, in _run_file execfile(_PATHS.script_file(script_name), globals_) File "/google/google-cloud-sdk/platform/google_appengine/google/appengine/tools/devappserver2/devappserver2.py",

I'm a bit confused at how to setup error reporting in kubernetes, so errors are visible in Google Cloud Console / Stackdriver "Error Reporting"? According to documentation https://cloud.google.com/error-reporting/docs/setting-up-on-compute-engine we need to enable fluentd' "forward input plugin" and then send exception data from our apps. I think this approach would have worked if we had setup fluentd ourselves, but it's already pre-installed on every node in a pod that just runs gcr.io/google_containers/fluentd-gcp docker image. How do we enable forward input on those pods and make sure that

My java App Engine Managed VMs build doesn't deploy any more using gcloud preview app deploy target/myapp-SNAPSHOT I get this: ERROR: Found no valid App Engine configuration files in directory The usage of gcloud preview app deploy changed in our gcloud 2015.04.14 release, you now have to specify the .yaml file for your module as well as --project projectID . The documentation should be updated shortly. For Java, we've released an updated maven plugin. In your pom.xml, please add the following: <plugin> <groupId>com.google.appengine</groupId> <artifactId>gcloud-maven-plugin</artifactId>