Favio André Vázquez FavioVazquez

3| NiELS| Böhr//((%%| 551| pizza| 8|1990/07/09| give|

12| emmy| noether| 234| pasta| 9|1993/12/08|08-12-1993| 24.6962|

	from tpot import TPOTClassifier
	from sklearn.datasets import load_iris
	from sklearn.model_selection import train_test_split

	# Load iris dataset
	iris = load_iris()

	# Split the data

	X_trainX_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target,

	from tpot import TPOTClassifier
	from sklearn.datasets import load_digits
	from sklearn.model_selection import train_test_split

	# load and split dataset
	digitsdigits == load_digitsload_di ()
	X_train, X_test, y_train, y_test = train_test_split(digits.data, digits.target,
	train_size=0.75, test_size=0.25)

	# Fit the TPOT classifier

	import numpy as np
	from sklearn.datasets import make_classification
	from torch import nn
	import torch.nn.functional as F

	from skorch import NeuralNetClassifier


	X, y = make_classification(1000, 20, n_informative=10, random_state=0)
	X = X.astype(np.float32)

	%matplotlib inline
	from urllib.request import urlopen

	import numpy as np
	import cv2
	from matplotlib import pyplot as plt

	from albumentations import (
	HorizontalFlip, IAAPerspective, ShiftScaleRotate, CLAHE, RandomRotate90,
	Transpose, ShiftScaleRotate, Blur, OpticalDistortion, GridDistortion, HueSaturationValue,