7ff1d27bef4ef8c409460b74431dc989d27ac68e,citationClassifier.py,,train_and_eval,#Any#Any#Any#Any#Any#,44

Before Change

    maxlen = 150
    // default bert model parameters
    if architecture.find("bert") != -1:
        batch_size = 32

    model = Classifier("citations", model_type=architecture, list_classes=list_classes, max_epoch=100, fold_number=fold_count, patience=10,
        use_roc_auc=True, embeddings_name=embeddings_name, use_ELMo=use_ELMo, use_BERT=use_BERT, batch_size=batch_size, maxlen=maxlen,
        class_weights=class_weights)

After Change

def train_and_eval(embeddings_name, fold_count, use_ELMo=False, use_BERT=False, architecture="gru"): 
    batch_size, maxlen = configure(architecture, use_BERT, use_ELMo)
    maxlen = 150

    model = Classifier("citations", model_type=architecture, list_classes=list_classes, max_epoch=100, fold_number=fold_count, patience=10,

Instances