xlearn
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Published
20 hours ago •
aksnzhy
aksnzhy
sklearn api
n [1]: import numpy as np
...: import xlearn as xl
...: from sklearn.datasets import load_iris
...: from sklearn.model_selection import train_test_split
...:
...: # Load dataset
...: iris_data = load_iris()
...: X = iris_data['data']
...: y = (iris_data['target'] == 2)
...:
...: X_train,
...: X_val,
...: y_train,
...: y_val = train_test_split(X, y, test_size=0.3, random_state=0)
...:
...: # param:
...: # 0. binary classification
...: # 1. model scale: 0.1
...: # 2. epoch number: 10 (auto early-stop)
...: # 3. learning rate: 0.1
...: # 4. regular lambda: 1.0
...: # 5. use sgd optimization method
...: linear_model = xl.LRModel(task='binary', init=0.1,
...: epoch=10, lr=0.1,
...: reg_lambda=1.0, opt='sgd')
...:
...: # Start to train
...: linear_model.fit(X_train, y_train,
...: eval_set=[X_val, y_val],
...: is_lock_free=False)
...:
...: # Generate predictions
...: y_pred = linear_model.predict(X_val)
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xLearn -- 0.40 Version --
terminate called after throwing an instance of 'std::logic_error' what(): basic_string::_M_construct null not valid Aborted (core dumped)
