Plot learning curves

plots inline multiple models learning curves.

# Author: L.Kouadio
# Licence: BSD-3-clause

• Plot metaestimator already cross-validated.

from watex.models.premodels import p
from watex.datasets import fetch_data
from watex.utils.plotutils import plot_learning_curves
X, y = fetch_data ('bagoue prepared') # yields a sparse matrix
# let collect 04 estimators already cross-validated from SVMs
models = [ p.SVM.linear , p.SVM.rbf , p.SVM.sigmoid , p.SVM.poly ]
plot_learning_curves (models, X, y, cv=4, sns_style = 'darkgrid')

• Plot multiples models not crossvalidated yet. It take a little bit times

from watex.exlib.sklearn import (
    LogisticRegression,
    RandomForestClassifier,
    SVC , KNeighborsClassifier
    )
models =[LogisticRegression(), RandomForestClassifier(), SVC() ,
             KNeighborsClassifier()
             ]
plot_learning_curves (models, X, y, cv=4, sns_style = 'darkgrid')