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]