TEMPLATES#

Functions#

models.tak_utils.templates.compose_template(org_templates, factor_templates)[source]#
models.tak_utils.templates.generate_composite_factors(templates, selected_factors=None)[source]#

templates: a dictionary of contextual factors with the following format templates = {

“factor_1”: {

“value_1”: [“description_1”, “description_2”, “description_3”], “value_2”: [“description_1”, “description_2”, “description_3”], }

“factor_2”: {

“value_1”: [“description_1”, “description_2”, “description_3”], “value_2”: [“description_1”, “description_2”, “description_3”], “value_3”: [“description_1”, “description_2”, “description_3”], }

}

selected_factors: a list of factors that we would like to compose

models.tak_utils.templates.get_templates(dataset_name)[source]#
models.tak_utils.templates.compose_template(org_templates, factor_templates)[source]#
models.tak_utils.templates.generate_composite_factors(templates, selected_factors=None)[source]#

templates: a dictionary of contextual factors with the following format templates = {

“factor_1”: {

“value_1”: [“description_1”, “description_2”, “description_3”], “value_2”: [“description_1”, “description_2”, “description_3”], }

“factor_2”: {

“value_1”: [“description_1”, “description_2”, “description_3”], “value_2”: [“description_1”, “description_2”, “description_3”], “value_3”: [“description_1”, “description_2”, “description_3”], }

}

selected_factors: a list of factors that we would like to compose

models.tak_utils.templates.get_templates(dataset_name)[source]#