def train_ppi_matrix_classifier(input_files, result_file):
with open(ppi_train_interactions_file, "rb") as f:
labels = cPickle.load(f)
X, Y = ppi_learning.predictorI_aggregated_data([ppi_matrices_train_file],
labels)
np.random.seed(42)
ppi_learning.cv_experiment(X, Y, labels, result_file)
def train_ppi_global_classifier(input_files, result_file):
X, Y = ppi_learning.sequence_data(ppi_train_file)
with open(ppi_train_interactions_file, "rb") as f:
labels = cPickle.load(f)
np.random.seed(42)
ppi_learning.cv_experiment(X, Y, labels, result_file)
def train_ppi_global_classifier(input_files, result_file):
X, Y = ppi_learning.sequence_data(ppi_train_file)
with open(ppi_train_interactions_file, "rb") as f:
labels = cPickle.load(f)
np.random.seed(42)
ppi_learning.cv_experiment(X, Y, labels, result_file)
