diego898

from sklearn import svm, datasets
from sklearn.model_selection import StratifiedKFold
from sklearn.metrics import confusion_matrix, classification_report, RocCurveDisplay, ConfusionMatrixDisplay, auc

# Import some data to play with
iris = datasets.load_iris()
X = iris.data
y = iris.target
target_names = iris.target_names[:2]

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diego898

fig = plt.figure(figsize=(30,10))

# loss/acc
ax11 = plt.subplot(241)
ax11.plot(range(len(epoch_loss)),np.array(epoch_loss));
ax11.set_title('Epoch loss')
ax21 = plt.subplot(245)
ax21.plot(range(len(epoch_acc)),np.array(epoch_acc));
ax21.set_title('Epoch acc')

diego898

diego898

diego898

diego898

" ----------------------------------------------------------------------------
" GENERAL SETTINGS
" ----------------------------------------------------------------------------
scriptencoding utf-16      " allow emojis in vimrc
set encoding=utf-8         " necessery encoding for powerline
set nocompatible           " vim, not vi
syntax on                  " syntax highlighting
filetype plugin indent on  " try to recognize filetypes and load rel' plugins

let mapleader = ','        " set the mapleaders before mappings!

diego898

add-tex-command citep op
add-tex-command cref op
add-tex-command eqref op
dont-tex-check-comments

diego898

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
%matplotlib inline
import seaborn as sns

# set normal vector, and point on plane
point  = np.array([1, 2, 3])
normal = np.array([1, 1, 2])

diego898

% Load color package
\usepackage{xcolor}

% Define Seaborn colors
\definecolor{seabornBlue}{RGB}{76,114,176}
\definecolor{seabornGreen}{RGB}{85,168,104}
\definecolor{seabornRed}{RGB}{196,78,82}

% Define FLATUI colors
\definecolor{orangePumpkin}{RGB}{211,84,0}