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Q:
Error while generating a sparse matrix in python
I am using the scipy sparse module to generate a sparse matrix. Here is the code:
import numpy as np
import scipy.sparse as sp
def mnist_sparse_vectorizer(filenames, n_features = 1, n_nodes = 1,
random_state = 0):
X_train = []
y_train = []
for filename in filenames:
X_train.append(np.array(scipy.io.loadmat(filename)))
X_train = np.asarray(X_train)
X_train = X_train.reshape((len(X_train), n_nodes, n_features))
y_train = np.asarray(scipy.io.loadmat(filename))
y_train = y_train.reshape((len(y_train), n_nodes))
#print(X_train.shape,y_train.shape)
X_train = X_train.astype('float32')
y_train = y_train.astype('int32')
n_features_t = X_train.shape[1]
n_nodes_t = y_train.shape[0]
X_t = sp.csr_matrix((n_nodes_t, n_features_t),
shape=(n_nodes, n_features))
y_t = sp.csc_matrix((n_nodes_t, n_nodes), shape=(n_nodes,), dtype='int32')
indices = np.ar
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