| NOTE: THIS IS THE NIGHTLY BUILD SERVER |
| ALL FILES ON HERE SHOULD BE CONSIDERED UNSTABLE |
| STABLE 1.6 WINDOWS VERSION IS HERE |
| STABLE 1.6 LINUX VERSION IS HERE |
import pandas as pd from sklearn.neural_network import MLPClassifier df = xl("Table1[#All]", headers=True) X = df[['feature1', 'feature2']] y = df['target'] clf = MLPClassifier(hidden_layer_sizes=(5, 2)).fit(X, y) Use code with caution.
: You can define layers such as Linear , Sigmoid , or Tanh using Python code that reads directly from your spreadsheet ranges. build neural network with ms excel new
Tip: Initialize these with =RAND()-0.5 to start with small random numbers. import pandas as pd from sklearn