scikit-learn
Calculation of the Pearson correlation coefficient
There are two files/frames. I want to make a correlation.
import numpy as np
import pandas as pd
from sklearn.decomposition ... int (c)
Receive:
----> c = np.corrcoef(t[:0], dj[:0])[0,1]
IndexError: index 0 is out of bounds for axis 0 with size 0
What does the random state parameter in sklearn.manifest mean?TSNE and other SciKit-Learn classes?
Put 3 different values random_state, this is: (None, 0, 1).
I did not understand what the essence of this method is. I read the documentation, the answer on the site, but I did not understand.
Error Found input variables with inconsistent numbers of samples
Teaching RandomRorest-
Here is the code:
X_train, X_test, y_train, y_test = train_test_split(X, y,
... n:
y_test.shape - (3001,)
RFC.predict_proba(X_test).shape - (3001, 2)
Maybe the problem is in the dimension of the matrices?