Skip to content

Fix test data reshaping in RNN evaluation #4

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

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

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Fix test data reshaping in RNN evaluation #4

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 9 additions & 1 deletion PredictStockPricesRNN.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -55,16 +55,24 @@ def train_rnn(X_train, X_test):

# function to evaluate RNN
def evaluate_rnn(model, X_test):
"""Evaluate a trained RNN model using mean squared error."""
# reshape test data to match training shape
X_test = X_test.reshape((X_test.shape[0], 1, 1))

# make predictions with RNN
predictions = model.predict(X_test)

# calculate mean squared error
mse = np.mean((predictions - X_test)**2)
mse = np.mean((predictions - X_test) ** 2)

return mse

# function to make predictions with RNN
def predict_with_rnn(model, X_test):
"""Generate predictions from a trained RNN model."""
# reshape test data to match training shape
X_test = X_test.reshape((X_test.shape[0], 1, 1))

# make predictions with RNN
predictions = model.predict(X_test)

Expand Down