Module qsarmodelingpy.Interfaces

Implements Typing constraints to config data passed to some modules. For instance, GA and OPS both accepts a configuration Dictionary that follow these rules.

Classes

class ConfigExtValInterface (*args, **kwargs)

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)

Ancestors

• builtins.dict

Class variables

var XMatrix : str

var autoscale : bool

var extval_type : int

var latent_vars_model : Optional[int]

var lj_transform : bool

var output_X_test : str

var output_X_train : str

var output_cv : str

var output_extval : str

var output_y_test : str

var output_y_train : str

var test_set : Union[NoneType, int, str, list]

var yvector : str

class ConfigGAInterface (*args, **kwargs)

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)

Ancestors

• builtins.dict

Class variables

var XMatrix : str

var autocorrcut : float

var autoscale : bool

var corrcut : float

var crossover_rate : float

var generations : int

var lj_transform : bool

var lno : float

var max_latent_model : Optional[int]

var max_vars_model : int

var migration_rate : float

var min_vars_model : int

var mutation_rate : float

var output_cv : str

var output_matrix : str

var output_q2 : str

var output_selected : str

var population_size : int

var varcut : float

var yrand : float

var yvector : str

class ConfigOPSInterface (*args, **kwargs)

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)

Ancestors

• builtins.dict

Class variables

var XMatrix : str

var autocorrcut : float

var autoscale : bool

var corrcut : float

var latent_vars_model : int

var latent_vars_ops : int

var lj_transform : bool

var lno : float

var models_to_save : int

var ops_increment : int

var ops_type : str

var ops_window : int

var output_cv : str

var output_matrix : str

var output_models : str

var varcut : float

var vars_percentage : float

var yrand : float

var yvector : str