Learning Curve

Input ports:

model:

model

Model

X:

table

X

Y:

table

Y

Output ports:

results:

table

results

statistics:

table

statistics

Configuration:

Shuffle (shuffle)

Randomizes the input dataset before passed to internal cross validation

Smallest fraction (smallest)

Size of the smallest dataset as fraction of total

Steps (steps)

Number of different sizes of training/test data measured

Cross validation folds (cv)

Number of fold of cross-validation (minimum 2)

Some of the docstrings for this module have been automatically extracted from the scikit-learn library and are covered by their respective licenses.

class node_metrics.LearningCurve