Predicting Baby Weight with TensorFlow on Cloud ML EngineGo to Lab
There was an error in the model.py file (could not find feature_column), preventing me from finishing the lab.
too dificult, it does not work the code :(
The last section of the lab is terrible. A lot of the details are wrong and a lot of errors when running the Python scripts from running the data model.
The Datalab notebook returned a bunch of errors in it. will try againg
Lots of Warnings and some errors and exceptions. No point in finishing the lab. The overall pedagogy is also hard to follow for a beginner of TensorFlow and python.
InvalidArgumentErrorTraceback (most recent call last) <ipython-input-21-a10b616ab2a1> in <module>() 26 27 shutil.rmtree('babyweight_trained', ignore_errors=True) # start fresh each time ---> 28 learn_runner.run(experiment_fn, 'babyweight_trained') /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/learn_runner.pyc in run(experiment_fn, output_dir, schedule, run_config, hparams) 216 schedule = schedule or _get_default_schedule(run_config) 217 --> 218 return _execute_schedule(experiment, schedule) 219 220 /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/learn_runner.pyc in _execute_schedule(experiment, schedule) 44 logging.error('Allowed values for this experiment are: %s', valid_tasks) 45 raise TypeError('Schedule references non-callable member %s' % schedule) ---> 46 return task() 47 48
Would have been good to get notice of zone limitations before completing preparation steps. Sample code returns lots of deprecation warnings. InvalidArgumentError in training. Jobs training on Cloud ML Engine fail after 5-7 minutes.