Inspecting a Dataset for Bias using TensorFlow Data Validation and Facets Overview Reviews

Prakhar K. · Reviewed מעל שנה אחת ago

Julianna G. · Reviewed מעל שנה אחת ago

Chaitanya P. · Reviewed מעל שנה אחת ago

Augusto E. · Reviewed מעל שנה אחת ago

Augusto E. · Reviewed מעל שנה אחת ago

Khoa V. · Reviewed מעל שנה אחת ago

Marcin B. · Reviewed מעל שנה אחת ago

Thejavathu C. · Reviewed מעל שנה אחת ago

Mai M. · Reviewed מעל שנה אחת ago

Lavanya C. · Reviewed מעל שנה אחת ago

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Geetha S. · Reviewed מעל שנה אחת ago

Jupyter notebooks pip install package too slow?

Huy M. · Reviewed מעל שנה אחת ago

not user friendly, needs more elaborate instructions on Task 4

Hemali P. · Reviewed מעל שנה אחת ago

Lucas B. · Reviewed מעל שנה אחת ago

Maria L. · Reviewed מעל שנה אחת ago

Pranusha K. · Reviewed מעל שנה אחת ago

MADHURANK H. · Reviewed מעל שנה אחת ago

Chaitali S. · Reviewed מעל שנה אחת ago

good one

Rakesh S. · Reviewed מעל שנה אחת ago

Jake H. · Reviewed מעל שנה אחת ago

Nelton D. · Reviewed מעל שנה אחת ago

Duong Q. · Reviewed מעל שנה אחת ago

Swathi D. · Reviewed מעל שנה אחת ago

Ravindra S. · Reviewed מעל שנה אחת ago

TL;DR 1. Unable to run module because dependancies failed to install correctly. 2. User is not provided with the URLs for the preprocessed training and validation datasets in exercise "TODO 1". 3. User is expected to be familiar with the tf.keras utility functions and syntax. DETAILS: 1. When installing the dependancies, after installing the Fairness indicators and restarting the kernel, I received the following error: --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[1], line 13 11 import tensorflow_hub as hub 12 import tensorflow as tf ---> 13 import tensorflow_model_analysis as tfma 14 import tensorflow_data_validation as tfdv 15 from tensorflow_model_analysis.addons.fairness.post_export_metrics import fairness_indicators ModuleNotFoundError: No module named 'tensorflow_model_analysis' #END OF ERROR MESSAGE This effectively prevented me from continuing this lab. 2. For the "TODO 1" exercise the location of the preprocessed training and validation datasets was not called out anywhere in the Jupyter Notebook or elsewhere in the documentation. I was forced to inspect the "bias_tfdv_facets.ipynb" file to find the file location URLs. Due to the aforementioned "ModuleNotFoundError", I was unable to complete the "TODO 2" exercise and received the following error: --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[3], line 4 1 # TODO 2 2 3 # The computation of statistics using TFDV. The returned value is a DatasetFeatureStatisticsList protocol buffer. ----> 4 stats = tfdv.generate_statistics_from_tfrecord(data_location=train_tf_file) 6 # TODO 2a 7 8 # A visualization of the statistics using Facets Overview. 9 tfdv.visualize_statistics(stats) NameError: name 'tfdv' is not defined 3. In order to complete any of the "TODO" exercises without consulting the answer cheat sheet, the user is expected to be familiar with the tf.keras utility functions and syntax, which is an entire language in and of itself.

William V. · Reviewed מעל שנה אחת ago