3600c23f6c7e20ac9492f1dd3604019b933923d6,deepchem/models/sklearn_models/__init__.py,SklearnModel,fit,#SklearnModel#Any#,40

Before Change

    
    Xs, ys, ws = [], [], []
    for (X_batch, y_batch, w_batch, _) in dataset.iterbatches(batch_size=32):
      Xs.append(X_batch)
      ys.append(y_batch)
      ws.append(w_batch)
    X = np.concatenate(Xs)
    y = np.concatenate(ys).ravel()

After Change

    Fits SKLearn model to data.
    
    X, y, w, _ = dataset.to_numpy()
    y, w = y.flatten(), w.flatten()
    print("fit")
    print("X")
    print(X)
    print("y")

Instances