Module validation 

Input validation utilities

Functions

check_array_2d

Check that a 2D array has valid shape and properties

check_consistent_length

Check that all arrays have consistent first dimension (number of samples)

check_consistent_length_xy

Check that X and y have consistent number of samples (generic version)

check_finite

Check that array contains only finite values (no NaN or infinity)

check_finite_1d

Check that array contains only finite values (1D version)

check_matmul_shapes

Check that matrices have compatible shapes for matrix multiplication

check_min_classes

Check that we have at least min_classes distinct classes

check_min_samples

Check that we have enough samples for the operation

check_non_empty

Check that an array is not empty

check_non_negative

Check that a parameter is non-negative

check_positive

Check that a parameter is positive

check_positive_int

Check that integer parameter is positive

check_range

Check that a parameter is in a valid range

check_x_y

Check that X and y have consistent number of samples

check_x_y_regression

Check that X and y have consistent number of samples (regression version)

validate_class_labels

Check that class labels are valid (non-negative integers)

validate_classification_predictions

Validate model prediction format for classification

validate_cv_folds

Validate cross-validation fold indices

validate_feature_importance

Validate feature importance values

validate_features

Validate feature matrix shape and contents

validate_learning_rate

Validate learning rate parameter

validate_max_iter

Validate maximum iterations parameter

validate_probability_distribution

Validate probability distribution (must sum to 1, all non-negative)

validate_regression_predictions

Validate model prediction format for regression

validate_regularization

Validate regularization parameter

validate_sample_weights

Validate sample weights

validate_sparse_matrix

Validate sparse matrix properties

validate_target

Validate target array

validate_target_regression

Validate target array (regression version)

validate_time_series

Validate time series data for temporal consistency

validate_tolerance

Validate tolerance parameter