n_bedrooms = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], dtype=float)
price_in_hundreds_of_thousands = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], dtype=float)
Error - Failed test case: incorrect values for price_in_hundreds_of_thousands tensor.
Expected: a numpy array with values of the prices for houses with 1 up to 6 bedrooms
Got: [1. 2. 3. 4. 5. 6.]
You filed this question under DLS Course 1, but I don’t recognize this problem. I’m guessing you are talking about MLS Course 1. If I’ve got that right, it would be a good idea to edit the category on the title to make sure the right people notice your question. You can use the little “edit pencil” on the title to do that. Or let me know and I can do it for you.
This query is from tensorflow developer professional certificate specialisation, course 1 introduction to tensorflow.
your values for price_in_hundreds_of_thousands is incorrect. read the first paragraph at the top of assignment notebook which explains the relation of how increase in bedroom increases bedroom price to 50,000. So for 1 bedroom if the price is 100,000. For 2 bedrooms, price would be 150,000 and not 200,000. So using price in hundreds as 2 would be incorrect value, causing the error you encountered.
For now I am moving your query to right category, but be careful from next time when you post your query and select right course and specialisation.
Here is another explanation
price_in_hundreds_of_thousands = np.array([100, 150, 200, 250, 300, 350]) / 100
This worked!
did you pass the assignment with that??