Model

class tupa.model.Model(filename, config=None, *args, **kwargs)

Bases: object

Attributes Summary

actions
classifier_properties
formats
is_neural_network
is_retrainable

Methods Summary

all_params()
finalize(finished_epoch)	Copy model, finalizing features (new values will not be added during subsequent use) and classifier (update it) :param finished_epoch: whether this is the end of an epoch (or just intermediate checkpoint), for bookkeeping :return: a copy of this model with a new feature extractor and classifier (actually classifier may be the same)
init_actions()
init_features(state, train)
init_model([axis, lang, init_params])
init_node_labels()
init_param(key)
load([is_finalized])	Load the feature and classifier parameters from files :param is_finalized: whether loaded model should be finalized, or allow feature values to be added subsequently
load_labels()	Copy classifier’s labels to create new Actions/Labels objects Restoring from a model that was just loaded from file, or called by restore()
node_label_param_def([args])
param_defs([args, only_node_labels])
restore(model[, feature_extractor, …])	Set all attributes to a reference to existing model, except labels, which will be copied.
save([save_init])	Save feature and classifier parameters to files
score(state, axis)
set_axis(axis, lang)

Attributes Documentation

actions

classifier_properties

formats

is_neural_network

is_retrainable

Methods Documentation

all_params()

finalize(finished_epoch)

Copy model, finalizing features (new values will not be added during subsequent use) and classifier (update it) :param finished_epoch: whether this is the end of an epoch (or just intermediate checkpoint), for bookkeeping :return: a copy of this model with a new feature extractor and classifier (actually classifier may be the same)

init_actions()

init_features(state, train)

init_model(axis=None, lang=None, init_params=True)

init_node_labels()

init_param(key)

load(is_finalized=True)

Load the feature and classifier parameters from files :param is_finalized: whether loaded model should be finalized, or allow feature values to be added subsequently

load_labels()

Copy classifier’s labels to create new Actions/Labels objects Restoring from a model that was just loaded from file, or called by restore()

node_label_param_def(args=None)

param_defs(args=None, only_node_labels=False)

restore(model, feature_extractor=None, classifier=None, is_finalized=None)

Set all attributes to a reference to existing model, except labels, which will be copied. :param model: Model to restore :param feature_extractor: optional FeatureExtractor to restore instead of model’s :param classifier: optional Classifier to restore instead of model’s :param is_finalized: whether the restored model is finalized

save(save_init=False)

Save feature and classifier parameters to files

score(state, axis)

set_axis(axis, lang)