OpenANN
1.1.0
An open source library for artificial neural networks.
|
Functions | |
def | sse |
def | mse |
def | rmse |
def | accuracy |
def | confusion_matrix |
def | classification_hits |
def | cross_validation |
def evaluation.accuracy | ( | learner, | |
dataset | |||
) |
Compute classification accuracy.
def evaluation.classification_hits | ( | learner, | |
dataset | |||
) |
Compute number of correct predictions.
def evaluation.confusion_matrix | ( | learner, | |
dataset | |||
) |
Compute confusion matrix.
def evaluation.cross_validation | ( | folds, | |
learner, | |||
dataset, | |||
optimizer | |||
) |
Perform cross validation.
def evaluation.mse | ( | learner, | |
dataset | |||
) |
Compute mean squared error.
def evaluation.rmse | ( | learner, | |
dataset | |||
) |
Compute mean squared error.
def evaluation.sse | ( | learner, | |
dataset | |||
) |
Compute sum of squared errors.