Module fallback_scirs2 

Fallback implementations for SciRS2 functionality when the feature is not available

This module provides basic implementations of SciRS2 functions that are used in the ML optimization module when the scirs2 feature is not enabled.

Modules

distributions

Distribution modules

Structs

DBSCAN

Other ML algorithm fallbacks

Graph

Graph-related fallback functions

IsolationForest

KMeans

Basic KMeans clustering fallback implementation

KMeansResult

Clustering fit result

MinimizeResult

Result type for minimize function

OptimizeError

Fallback error type for optimization

TTestResult

Statistical test results

Enums

Alternative

Functions

betweenness_centrality

closeness_centrality

corrcoef

eig

Fallback linear algebra functions

ks_2samp

matrix_norm

mean

Basic statistics functions

minimize

Fallback optimization function

minimum_spanning_tree

pearsonr

shapiro_wilk

shortest_path

spearmanr

std

strongly_connected_components

svd

train_test_split

ttest_1samp

ttest_ind

var

Type Aliases

OptimizeResult

Fallback result type for optimization