The grading system marked exercise 2 - Visualizing training data stat wrongly. i have no idea why. the required arg (train_df, stat_options) are inputted.
Hello @hhassan and welcome to DeepLearning Community.
train_df is the Training dataframe(70% of the entire dataset)
StatsOptions : One of the important parameters of the StatsOptions class is feature_allowlist , which defines the features to include while calculating the data statistics. You can check the documentation to learn more about the class arguments also stats_options , generates an object of type DatasetFeatureStatisticsList . This object includes the computed statistics of the given dataset.
Therefore to generate the statistics of the training set we pass the training dataframe: train_df and the stats_options
train_stats = tfdv.generate_statistics_from_dataframe(train_df, stats_options)
Let me know if you still have another question
Hello, @Isaak_Kamau big thanks for your response. I got the train stats quite alright, but my issue is the visualization part. the grading system is marking me wrong, and I don’t know what I’m doing wrongly. That is why I shared a screenshot of my code. Please See my grading score below
Please check whether you’ve used another #grade-up-to-here? If you have please delete it, If the problem persist please dm me your notebook
Hello @hhassan I have gone through your notebook, Please remove the # grade-up-to-here
It is probably affecting the grader not to grade your entire notebook
Please go through your notebook and delete all # grade-up-to-here
Let me know if that works
1 Like
Removing the “# grade-up-to-here” works. Thanks
Welcome @hhassan
If you encounter any other issue please feel free to start a new topic.
Happy Learning
Isaak