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train.py

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shaaqu 2020-05-19 22:02:42 +02:00
parent 0630d99a48
commit f8a018ab7d
7 changed files with 164 additions and 32 deletions
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2
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Assiging/feature_hashing.py
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from sklearn.feature_extraction import FeatureHasher
from data import create_data_dict
data = create_data_dict()
print(data)

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coder/train.py Normal file
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import matplotlib.pyplot as plt
import numpy as np
from numpy import asarray
from sklearn import datasets
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import accuracy_score
from PIL import Image
#recznie napisane cyfry
digits = datasets.load_digits()
y = digits.target
x = digits.images.reshape((len(digits.images), -1))
x_train = x[:1000000]
y_train = y[:1000000]
x_test = x[1000:]
y_test = y[1000:]
mlp = MLPClassifier(hidden_layer_sizes=(15,), activation='logistic', alpha=1e-4,
solver='sgd', tol=1e-4, random_state=1,
learning_rate_init=.1, verbose=True)
mlp.fit(x_train, y_train)
predictions = mlp.predict(x_test)
print(accuracy_score(y_test, predictions))