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Here is a simplified example of a few users and their countries.įigure 4: Example of a simplified security table In this table, each user’s username and the country that they will have access to will be defined. This method consists of joining the data source with a security table that must be created. Another negative point is that when a new user is introduced into the Tableau Server, it will be necessary to edit the workbooks to include the new mapping. This is a good method if there is a small number of users, but if there are a lot of users, you will waste time in doing the mapping.
You can create a User Filter and then map each user manually with the countries that they will be able to view.įigure 2: Mapping between users and country dimensionįigure 3: Sales by year and country with RLS filter This method allows the option to give different restrictions to each user. This data restriction is what we know as Row Level Security, and Tableau allows different ways to implement this. The user filter will restrict access to the data based on each user’s characteristics. You want each country manager to have access to their respective country, but not to the sales number of the other countries. Imagine that you have a report showing the sales during different years for some countries:įigure 1: Sales by year and country without security filter This approach applies to data sources with live connections and extract data sources whose tables are stored as multiple tables. By applying RLS, you can specify which data rows can be viewed by each person signed into the server. For example, one user will see data from Asia and another user will see data from Europe.īy default, all users who have access to the workbooks can see all the data in the views. Row Level Security allows users that have the same permissions to see different data. Permissions can control who can edit a workbook or only view it. This is different from Tableau permissions, which are used to give or deny access to content. In Tableau, Row Level Security (RLS) consists of restricting some data in the workbook to certain users. There are some methods which are frequently used to apply this security, but in this article an alternative will be presented.Īpart from explaining how this alternative method must be implemented, we will compare it with other methods to see the pros and cons of each one.
#Tabulo attribute upgrade#
You can upgrade your TF 1.x code to TF 2.Sometimes Tableau workbooks require applying security at row level. Take a look at these tf 2.0 release notes Tf.contrib has moved out of TF starting TF 2.0 alpha. What should I do to solve this problem? I couldn't find anything about this error message except this: tensorflow 'module' object has no attribute 'contrib' Pipeline_config_path=training/ssd_inception_v2_nfig Required-by: sudo python3 train.py -logtostderr -train_dir=training/.
Requires: gast, astor, absl-py, tensorflow-estimator, keras-preprocessing, grpcio, six, keras-applications, wheel, numpy, tensorboard, protobuf, termcolor Location: /usr/local/lib/python3.6/dist-packages Summary: TensorFlow is an open source machine learning framework for everyone. Python3 -c 'import tensorflow as tf print(tf. Slim_example_decoder = tf._decoderĪttributeError: module 'tensorflow' has no attribute 'contrib'Īlso I am getting different results when I try to learn version of tensorflow. When I try to use train.py I am getting this error message:įrom object_detection.builders import dataset_builderįile "/usr/local/lib/python3.6/dist-packages/object_detection-0.1->p圓.6.egg/object_detection/builders/dataset_builder.py", line 27, inįrom object_detection.data_decoders import tf_example_decoderįile "/usr/local/lib/python3.6/dist-packages/object_detection-0.1-p圓.6.egg/object_detection/data_decoders/tf_example_decoder.py", line 27, in Then I followed all the instructions on this site:
#Tabulo attribute install#
I installed the tensorflow using "pip install tensorflow" in my google compute engine. I am trying to train my own custom object detector using Tensorflow Object-Detection-API
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