import numpy
import scipy
from sklearn import datasets
from sol_classifiers import ogd
iris = datasets.load_iris()
X_train = iris.data
Y_train = iris.target
X_test = iris.data[45:46]
Y_test = iris.target[45:46]
clf = ogd(eta=0.1)
clf.fit(X_train, Y_train)
print(clf.predict(X_test))

1d2925055497ee9e954a3c87fff48ebe35066c6f
<mask token>

<mask token>
clf.fit(X_train, Y_train)
print(clf.predict(X_test))

<mask token>
iris = datasets.load_iris()
X_train = iris.data
Y_train = iris.target
X_test = iris.data[45:46]
Y_test = iris.target[45:46]
clf = ogd(eta=0.1)
clf.fit(X_train, Y_train)
print(clf.predict(X_test))

import numpy
import scipy
from sklearn import datasets
from sol_classifiers import ogd
iris = datasets.load_iris()
X_train = iris.data
Y_train = iris.target
X_test = iris.data[45:46]
Y_test = iris.target[45:46]
clf = ogd(eta=0.1)
clf.fit(X_train, Y_train)
print(clf.predict(X_test))
