We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
I am trying to run this notebook as is with latest IBM stock price data but the model ends up predicting the same flat-line
The text was updated successfully, but these errors were encountered:
Per the author, this is expected:
https://towardsdatascience.com/stock-predictions-with-state-of-the-art-transformer-and-time-embeddings-3a4485237de6#03a4
Reportedly, a linear model is the best that the approach can produce given the limited price/volume data of a single stock:
Sorry, something went wrong.
No branches or pull requests
I am trying to run this notebook as is with latest IBM stock price data but the model ends up predicting the same flat-line
The text was updated successfully, but these errors were encountered: