def run_testing_att_sef_bilstm(
name_prefix=u'',
cv_count=1,
model_names_classtype=MaxPoolingModelNames,
network_classtype=MaxPoolingOverSentences,
config_classtype=MaxPoolingOverSentencesConfig,
custom_config_func=mi_att_sef_bilstm_custom_config,
custom_callback_func=classic_common_callback_modification_func):
run_testing(
full_model_name=name_prefix +
model_names_classtype().AttSynonymEndsAndFramesBiLSTM,
create_network=lambda: network_classtype(
context_network=AttentionSynonymEndsAndFramesBiLSTM()),
create_config=lambda: config_classtype(
context_config=AttentionSynonymEndsAndFramesBiLSTMConfig()),
cv_count=cv_count,
create_nn_io=RuSentRelBasedNeuralNetworkIO,
create_model=MultiInstanceTensorflowModel,
evaluator_class=TwoClassEvaluator,
create_callback=CustomCallback,
experiments_io=RuSentRelBasedExperimentsIOUtils(),
common_callback_modification_func=custom_callback_func,
custom_config_modification_func=custom_config_func,
common_config_modification_func=classic_mi_common_config_settings)
def run_testing_cnn(name_prefix=DS_NAME_PREFIX,
cv_count=1,
common_callback_func=ds_common_callback_modification_func):
run_testing(full_model_name=name_prefix + ModelNames().CNN,
create_network=VanillaCNN,
create_config=CNNConfig,
create_nn_io=RuSentRelWithRuAttitudesBasedExperimentIO,
create_model=SingleInstanceTensorflowModel,
evaluator_class=TwoClassEvaluator,
create_callback=CustomCallback,
cv_count=cv_count,
experiments_io=RuSentRelBasedExperimentsIOUtils(),
common_config_modification_func=ds_ctx_common_config_settings,
common_callback_modification_func=common_callback_func,
custom_config_modification_func=ctx_cnn_custom_config)
def run_testing_att_se_cnn(name_prefix=u'',
cv_count=1,
custom_config_func=ctx_att_se_cnn_custom_config,
custom_callback_func=classic_common_callback_modification_func):
run_testing(full_model_name=name_prefix + ModelNames().AttSynonymEndsCNN,
create_network=AttentionSynonymEndsCNN,
create_config=AttentionSynonymEndsCNNConfig,
create_nn_io=RuSentRelBasedNeuralNetworkIO,
cv_count=cv_count,
create_model=SingleInstanceTensorflowModel,
evaluator_class=TwoClassEvaluator,
create_callback=CustomCallback,
experiments_io=RuSentRelBasedExperimentsIOUtils(),
common_callback_modification_func=custom_callback_func,
custom_config_modification_func=custom_config_func,
common_config_modification_func=classic_ctx_common_config_settings)
def run_testing_self_att_bilstm(name_prefix=u'',
cv_count=1,
custom_config_func=ctx_self_att_bilstm_custom_config,
custom_callback_func=classic_common_callback_modification_func):
run_testing(full_model_name=name_prefix + ModelNames().SelfAttentionBiLSTM,
create_network=SelfAttentionBiLSTM,
create_config=SelfAttentionBiLSTMConfig,
cv_count=cv_count,
create_nn_io=RuSentRelBasedNeuralNetworkIO,
create_model=SingleInstanceTensorflowModel,
evaluator_class=TwoClassEvaluator,
experiments_io=RuSentRelBasedExperimentsIOUtils(),
common_callback_modification_func=custom_callback_func,
custom_config_modification_func=custom_config_func,
common_config_modification_func=classic_ctx_common_config_settings,
create_callback=CustomCallback)
def run_testing_ian_ef(cv_count=1,
name_prefix=u'',
custom_config_func=ctx_ian_ef_custom_config,
custom_callback_func=classic_common_callback_modification_func):
run_testing(full_model_name=name_prefix + ModelNames().IANEndsAndFrames,
create_network=IANEndsAndFrames,
create_config=IANEndsAndFramesConfig,
create_nn_io=RuSentRelBasedNeuralNetworkIO,
cv_count=cv_count,
create_model=SingleInstanceTensorflowModel,
evaluator_class=TwoClassEvaluator,
create_callback=CustomCallback,
experiments_io=RuSentRelBasedExperimentsIOUtils(),
common_callback_modification_func=custom_callback_func,
custom_config_modification_func=custom_config_func,
common_config_modification_func=classic_ctx_common_config_settings)
def run_testing_rcnn(name_prefix=u'',
cv_count=1,
model_names_classtype=MaxPoolingModelNames,
network_classtype=MaxPoolingOverSentences,
config_classtype=MaxPoolingOverSentencesConfig,
custom_config_func=mi_rcnn_custom_config,
custom_callback_func=classic_common_callback_modification_func):
run_testing(full_model_name=name_prefix + model_names_classtype().RCNN,
create_network=lambda: network_classtype(context_network=RCNN()),
create_config=lambda: config_classtype(context_config=RCNNConfig()),
create_nn_io=RuSentRelBasedNeuralNetworkIO,
cv_count=cv_count,
create_model=MultiInstanceTensorflowModel,
evaluator_class=TwoClassEvaluator,
create_callback=CustomCallback,
common_callback_modification_func=custom_callback_func,
custom_config_modification_func=custom_config_func,
common_config_modification_func=classic_mi_common_config_settings)
def run_testing_mi_pcnn(
name_prefix=DS_NAME_PREFIX,
cv_count=1,
model_names_classtype=MaxPoolingModelNames,
network_classtype=MaxPoolingOverSentences,
config_classtype=MaxPoolingOverSentencesConfig,
common_callback_func=ds_common_callback_modification_func):
run_testing(full_model_name=name_prefix + model_names_classtype().PCNN,
create_network=lambda: network_classtype(context_network=PiecewiseCNN()),
create_config=lambda: config_classtype(context_config=CNNConfig()),
create_nn_io=RuSentRelWithRuAttitudesBasedExperimentIO,
cv_count=cv_count,
create_model=MultiInstanceTensorflowModel,
evaluator_class=TwoClassEvaluator,
create_callback=CustomCallback,
experiments_io=RuSentRelBasedExperimentsIOUtils(),
common_callback_modification_func=common_callback_func,
custom_config_modification_func=mi_pcnn_custom_config,
common_config_modification_func=ds_mi_common_config_settings)
