predictorWeekly.py 文件源码

 复制代码def adbPredictor(df):
    dataTrainX, dataTrainY, dataTestX, dataTestY = sample(df)

    # clf = linear_model.SGDRegressor()
    clf = ensemble.AdaBoostRegressor()
    clf.fit(dataTrainX, dataTrainY)

    predicted = clf.predict(dataTestX)

    fig, ax = plotter.subplots()

    ax.set_ylabel('Predicted KNN Weekly')
    ax.scatter(dataTestY, predicted)
    ax.set_xlabel('Measured')
    predicted = np.reshape(predicted, (predicted.size, 1))
    corrCoeff = pearsonr(dataTestY,predicted)
    print(corrCoeff[0])
    plotter.show()
    return predicted