base

cast_to_ndarray	Convert the container of X to numpy.ndarray.
check_1D_num_sequence	Validate things that are expected to be 1D sequences of numbers.
check_1D_str_sequence	Validate things that are expected to be 1D sequences of strings.
check_2D_num_array	Validate things that are expected to be 2D arrays of numbers.
check_2D_str_array	Validate things that are expected to be 2D arrays of strings.
check_dtype	Check that the passed data is of an allowed datatype.
check_feature_names	Set or check the feature_names_in_ attribute.
check_is_finite	Look for any nan-like and/or infinity-like values in X.
check_is_fitted	Perform _is_fitted validation on an estimator/transformer.
check_n_features	Set the n_features_in_ attribute, or check against it.
check_scipy_sparse	Check whether a passed data container is a scipy sparse matrix / array.
check_shape	Check the shape of a data-bearing object against user-defined criteria.
copy_X	Make a deep copy of X.
DictMenuPrint	Manage the display and operation of an interactive user menu.
ensure_2D	Ensure that X has 2-dimensional shape, i.e., len(X.shape) == 2.
get_feature_names	Get feature names from X.
get_feature_names_out	Return the feature name vector for the output of a pybear estimator or transformer.
is_fitted	Determine if an estimator/transformer is fitted and return a boolean.
num_features	Return the number of features in an array-like X.
num_samples	Return the number of samples in an array-like X.
set_order	Set the memory layout of X.
user_entry	Manual validation for user-entered string.
validate_data	Validate characteristics of X and apply some select transformative operations.
validate_user_int	Integer validation for user entry within allowed range.
validate_user_float	Number validation for user float entry within allowed range.
validate_user_mstr	String validation for multiple alpha character user entry that screens by length of entry and allowed options.
validate_user_str	Validation of a single user-entered alpha character against a list of allowed characters.
validate_user_str_cs	Case sensitive validation of a single user-entered alpha character against a list of allowed characters.
FeatureMixin	This mixin manages feature names for pybear transformers and estimators.
FileDumpMixin	A mixin for pybear text transformers that allows the user to save data in-situ.
FitTransformMixin	Provides the fit_transform method to pybear transformers.
GetParamsMixin	Provides the get_params method to estimators, transformers, and GridSearch modules.
ReprMixin	This mixin provided the __repr__ magic method to pybear transformers and estimators.
SetOutputMixin	This mixin provides the set_output method to pybear transformers.
SetParamsMixin	Provides the set_params method to estimators, transformers, and GridSearch modules.
NotFittedError	Exception class to raise if estimator is used before fitting.