Opinie (Inspecting a Dataset for Bias using TensorFlow Data Validation and Facets Overview)

Prakhar K. · Sprawdzono ponad rok temu

Julianna G. · Sprawdzono ponad rok temu

Chaitanya P. · Sprawdzono ponad rok temu

Augusto E. · Sprawdzono ponad rok temu

Augusto E. · Sprawdzono ponad rok temu

Khoa V. · Sprawdzono ponad rok temu

Marcin B. · Sprawdzono ponad rok temu

Thejavathu C. · Sprawdzono ponad rok temu

Mai M. · Sprawdzono ponad rok temu

Lavanya C. · Sprawdzono ponad rok temu

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Geetha S. · Sprawdzono ponad rok temu

Jupyter notebooks pip install package too slow?

Huy M. · Sprawdzono ponad rok temu

not user friendly, needs more elaborate instructions on Task 4

Hemali P. · Sprawdzono ponad rok temu

Lucas B. · Sprawdzono ponad rok temu

Maria L. · Sprawdzono ponad rok temu

Pranusha K. · Sprawdzono ponad rok temu

MADHURANK H. · Sprawdzono ponad rok temu

Chaitali S. · Sprawdzono ponad rok temu

good one

Rakesh S. · Sprawdzono ponad rok temu

Jake H. · Sprawdzono ponad rok temu

Nelton D. · Sprawdzono ponad rok temu

Duong Q. · Sprawdzono ponad rok temu

Swathi D. · Sprawdzono ponad rok temu

Ravindra S. · Sprawdzono ponad rok temu

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. · Sprawdzono ponad rok temu