def create_config():
c = Config("", "-m", "test")
c.update({"verbose": 2, "timeout": 1, "embedding_layer_dim": 1, "ner_dim": 1, "action_dim": 1, "lemma_dim": 1,
"max_words_external": 3, "word_dim_external": 1, "word_dim": 1, "max_words": 3, "max_lemmas": 3,
"max_tags": 3, "max_pos": 3, "max_deps": 3, "max_edge_labels": 3, "max_puncts": 3, "max_action_types": 3,
"max_ner_types": 3, "edge_label_dim": 1, "tag_dim": 1, "pos_dim": 1, "dep_dim": 1, "optimizer": "sgd",
"output_dim": 1, "layer_dim": 2, "layers": 3, "lstm_layer_dim": 2, "lstm_layers": 3,
"max_action_ratio": 10, "update_word_vectors": False, "copy_shared": None})
c.update_hyperparams(shared={"lstm_layer_dim": 2, "lstm_layers": 1}, ucca={"word_dim": 2},
amr={"max_node_labels": 3, "max_node_categories": 3,
"node_label_dim": 1, "node_category_dim": 1})
return c
def config():
c = Config("", "-m", "test")
c.update({"no_node_labels": True, "evaluate": True, "minibatch_size": 50})
c.update_hyperparams(shared={"layer_dim": 50})
return c
def config():
c = Config("", "-m", "test")
c.update({"no_node_labels": True, "evaluate": True, "minibatch_size": 50})
c.update_hyperparams(shared={"layer_dim": 50})
return c
