What does numpy reshape(-1 1) mean?
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Reshape your data either X.reshape(-1, 1) if your data has a single feature/column and X.reshape(1, -1) if it contains a single sample. If you are getting this error then in this video, I plan to demystify the confusion surrounding numpy reshape (1,-1) function.
I’ll use a simple example to explain what does -1 mean in numpy reshape.
If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I’ll do my best to answer those.
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Is the purpose of "-1" to default the respective dimension length to however many elements there are? If so, why does that exist if len(x) already exists? Is it just meant to be a shorter and simpler way to achieve the same task?
Thanks for the clear explanation Bhavesh!
The thing like this is, "I know it adds dimension, but I don't know how it does". Good thing reviewing such basic. Many thanks to your video.
I appreciate how you simply explained that stuff. I was stuck in my LSTM project and this content helped me to know what is reshape(-1, 1)
Thanks a lot man !! This problem kept kept nagging me for days. You just earned a sub 🙂
Life saver
cool explanation , thank you
Short and sweet. thankyou!
very clear! Thank a lot!
Thanks for your to the point explanation. It saved a lot of time.
Thank you!
Thank you!!!
You solved all my doubts. Awesome video Bhavesh
provider link of machine learning tutorial playlist in your description will save time for us.
Thanks a lot!
You are a saviour buddy
Do we need to do the same way for y ?
y = y.reshape(-1,1)
because when I run lr.fit(x,y)
Message show "TypeError: fit() missing 1 required positional argument: 'y'"
can we use reshape function in a multi linear regression i.e which has multiple features if we can use can you please share code below how to define for a multi linear regression
Thanks for the tutorial sir
I just liked the vid and the number become 666.
Hi..While working on SUV dataset, I got the value error when I tried doing feature scaling using StandardScaler post train test split. Error is: "ValueError: Expected 2D array, got 1D array instead:'." How to resolve the issue?
Also, its little weird that when I am running the same code on google colab I am not getting this error. Could you help me understand, why am I getting this error on my jupyter notebook?