Aug-07-2017, 04:32 PM
Im following this tutorial to make this ML prediction:
http s://pythonprogramming .net/linear-svc-example-scikit-learn-svm-python
Already try with the:
http s://pythonprogramming .net/linear-svc-example-scikit-learn-svm-python
import numpy as np import matplotlib.pyplot as plt from matplotlib import style style.use("ggplot") from sklearn import svm x = [1, 5, 1.5, 8, 1, 9] y = [2, 8, 1.8, 8, 0.6, 11] plt.scatter(x,y) plt.show() X = np.array([[1,2], [5,8], [1.5,1.8], [8,8], [1,0.6], [9,11]]) y = [0,1,0,1,0,1] X.reshape(1, -1) clf = svm.SVC(kernel='linear', C = 1.0) clf.fit(X,y) print(clf.predict([0.58,0.76]))Im using Kaggle with Pyhton 3.6 and i get "Expected 2D array, got 1D array instead:"
Already try with the:
X.reshape(1, -1)but keep saying the same thing.