fasterrisk.utils

Functions

get_groupIndex_to_featureIndices(...)
get_support_indices(betas)
get_nonsupport_indices(betas)
normalize_X(X)
compute_logisticLoss_from_yXB(yXB)
compute_logisticLoss_from_ExpyXB(ExpyXB)
compute_logisticLoss_from_betas_and_yX(betas, yX)
compute_logisticLoss_from_X_y_beta0_betas(X, y, beta0, ...)
convert_y_to_neg_and_pos_1(y)
isEqual_upTo_8decimal(a, b)
isEqual_upTo_16decimal(a, b)
insertIntercept_asFirstColOf_X(X)
get_all_product_booleans([sparsity])
download_file_from_google_drive(id, destination)
get_confirm_token(response)
save_response_content(response, destination)
check_bounds(bound, bound_name, num_features)
get_continuousFeatureName_from_binaryFeatureName(...)
get_groupIndex_from_featureNames(featureNames)
check_if_featureNames_come_from_RiskSLIM_GitHub_data(...)

Module Contents

fasterrisk.utils.get_groupIndex_to_featureIndices(featureIndex_to_groupIndex)

fasterrisk.utils.get_support_indices(betas)

fasterrisk.utils.get_nonsupport_indices(betas)

fasterrisk.utils.normalize_X(X)

fasterrisk.utils.compute_logisticLoss_from_yXB(yXB)

fasterrisk.utils.compute_logisticLoss_from_ExpyXB(ExpyXB)

fasterrisk.utils.compute_logisticLoss_from_betas_and_yX(betas, yX)

fasterrisk.utils.compute_logisticLoss_from_X_y_beta0_betas(X, y, beta0, betas)

fasterrisk.utils.convert_y_to_neg_and_pos_1(y)

fasterrisk.utils.isEqual_upTo_8decimal(a, b)

fasterrisk.utils.isEqual_upTo_16decimal(a, b)

fasterrisk.utils.insertIntercept_asFirstColOf_X(X)

fasterrisk.utils.get_all_product_booleans(sparsity=5)

fasterrisk.utils.download_file_from_google_drive(id, destination)

fasterrisk.utils.get_confirm_token(response)

fasterrisk.utils.save_response_content(response, destination)

fasterrisk.utils.check_bounds(bound, bound_name, num_features)

fasterrisk.utils.get_continuousFeatureName_from_binaryFeatureName(binaryFeatureName)

fasterrisk.utils.get_groupIndex_from_featureNames(featureNames)

fasterrisk.utils.check_if_featureNames_come_from_RiskSLIM_GitHub_data(featureNames)