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Remove outputs and metadata

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This commit is contained in:
J. Fernando Sánchez
2019-02-28 15:30:33 +01:00
parent a1be167cc0
commit c1d3ca38ea
25 changed files with 989 additions and 14268 deletions
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ml2/plot_learning_curve.py
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@@ -19,11 +19,10 @@ samples.
import numpy as np
import matplotlib.pyplot as plt
from sklearn import cross_validation
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC
from sklearn.datasets import load_digits
from sklearn.learning_curve import learning_curve
from sklearn.model_selection import learning_curve
def plot_learning_curve(estimator, title, X, y, ylim=None, cv=None,
@@ -53,7 +52,7 @@ def plot_learning_curve(estimator, title, X, y, ylim=None, cv=None,
cv : integer, cross-validation generator, optional
If an integer is passed, it is the number of folds (defaults to 3).
Specific cross-validation objects can be passed, see
sklearn.cross_validation module for the list of possible objects
sklearn.model_selection module for the list of possible objects
n_jobs : integer, optional
Number of jobs to run in parallel (default 1).