Authors: Jim Chen, Ricky Grannis-Vu, Ge Zhang, Amy Zhang, jiajai hu, shagun jhaver

Views : 55

Compute Environment: Ubuntu 20.04 (Default)

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Import libraries

output
plt:<matplotlib.pyplot>
datasets:<sklearn.datasets>
svm:<sklearn.svm>
metrics:<sklearn.metrics>
train_test_split:<sklearn.model_selection.train_test_split>
np:<numpy>

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Data preprocessing

Load dataset

input
datasets: <sklearn.datasets>
output
digits: <dict>

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Explore

input
digits: <dict>
output

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Transform dataset

input
digits: <dict>
output
n_samples: <int>
data: <numpy.ndarray>

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Modeling

Create method

output
classifier: <slearn.method>

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Split dataset

input
data: <numpy.ndarray>
digits: <dict>
output
X_train:<numpy.ndarray>
X_test:<numpy.ndarray>
y_train:<numpy.ndarray>
y_test:<numpy.ndarray>

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Train model

input
X_train:<numpy.ndarray>
y_train:<numpy.ndarray>

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Get predictions

input
X_test:<numpy.ndarray>
output
predicted:<numpy.ndarray>