import pkgutil from backport import OrderedDict import dedupe.variables import dedupe.variables.base as base from dedupe.variables.base import MissingDataType from dedupe.variables.interaction import InteractionType for _, module, _ in pkgutil.iter_modules(dedupe.variables.__path__, 'dedupe.variables.'): __import__(module) FIELD_CLASSES = dict(base.allSubclasses(base.FieldType)) class DataModel(dict): def __init__(self, fields): self['bias'] = 0 primary_fields, data_model = typifyFields(fields) self.derived_start = len(data_model) data_model += interactions(fields, primary_fields) data_model += missing(data_model) self['fields'] = data_model self.n_fields = len(self['fields']) self.primary_fields = primary_fields
import pkgutil import numpy import copyreg import dedupe.variables import dedupe.variables.base as base from dedupe.variables.base import MissingDataType from dedupe.variables.interaction import InteractionType for _, module, _ in pkgutil.iter_modules(dedupe.variables.__path__, 'dedupe.variables.'): __import__(module) FIELD_CLASSES = {k: v for k, v in base.allSubclasses(base.FieldType) if k} class DataModel(object): def __init__(self, fields): primary_fields, variables = typifyFields(fields) self.primary_fields = primary_fields self._derived_start = len(variables) variables += interactions(fields, primary_fields) variables += missing(variables) self._missing_field_indices = missing_field_indices(variables) self._interaction_indices = interaction_indices(variables) self._variables = variables
import pkgutil from collections import OrderedDict import dedupe.variables import dedupe.variables.base as base from dedupe.variables.base import MissingDataType from dedupe.variables.interaction import InteractionType for _, module, _ in pkgutil.iter_modules(dedupe.variables.__path__, 'dedupe.variables.') : __import__(module) FIELD_CLASSES = dict(base.allSubclasses(base.FieldType)) class DataModel(dict) : def __init__(self, fields): self['bias'] = 0 primary_fields, data_model = typifyFields(fields) self.derived_start = len(data_model) data_model += interactions(fields, primary_fields) data_model += missing(data_model) self['fields'] = data_model self.n_fields = len(self['fields']) self.primary_fields = primary_fields
import numpy import copyreg import types import dedupe.variables import dedupe.variables.base as base from dedupe.variables.base import MissingDataType from dedupe.variables.interaction import InteractionType for _, module, _ in pkgutil.iter_modules(dedupe.variables.__path__, 'dedupe.variables.'): __import__(module) FIELD_CLASSES = {k: v for k, v in base.allSubclasses(base.FieldType) if k} class DataModel(object): def __init__(self, fields): primary_fields, variables = typifyFields(fields) self.primary_fields = primary_fields self._derived_start = len(variables) variables += interactions(fields, primary_fields) variables += missing(variables) self._missing_field_indices = missing_field_indices(variables) self._interaction_indices = interaction_indices(variables)