Learning Curve¶
Generates a learning curve by training model multiple timeson incrementally larger subsets of the data and using cross validation for scoring. Plot performance of train-mean vs. test-mean for curve.
Definition¶
Input ports¶
- model model
Model
- X table
X
- Y table
Y
Output ports¶
- results table
results
- statistics table
statistics
Configuration¶
- Cross validation folds (cv)
Number of fold of cross-validation (minimum 2)
- 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
Implementation¶
- class node_metrics.LearningCurve[source]