topo.base.sparse

Module Contents

Functions

arr_unique(arr)
arr_union(ar1, ar2)
arr_intersect(ar1, ar2)
sparse_sum(ind1, data1, ind2, data2)
sparse_diff(ind1, data1, ind2, data2)
sparse_mul(ind1, data1, ind2, data2)
general_sset_intersection(indptr1, indices1, data1, ...)
general_sset_union(indptr1, indices1, data1, indptr2, ...)
sparse_euclidean(ind1, data1, ind2, data2)
sparse_manhattan(ind1, data1, ind2, data2)
sparse_chebyshev(ind1, data1, ind2, data2)
sparse_minkowski(ind1, data1, ind2, data2[, p])
sparse_hamming(ind1, data1, ind2, data2, n_features)
sparse_canberra(ind1, data1, ind2, data2)
sparse_bray_curtis(ind1, data1, ind2, data2)
sparse_jaccard(ind1, data1, ind2, data2)
sparse_matching(ind1, data1, ind2, data2, n_features)
sparse_dice(ind1, data1, ind2, data2)
sparse_kulsinski(ind1, data1, ind2, data2, n_features)
sparse_rogers_tanimoto(ind1, data1, ind2, data2, ...)
sparse_russellrao(ind1, data1, ind2, data2, n_features)
sparse_sokal_michener(ind1, data1, ind2, data2, n_features)
sparse_sokal_sneath(ind1, data1, ind2, data2)
sparse_cosine(ind1, data1, ind2, data2)
sparse_hellinger(ind1, data1, ind2, data2)
sparse_correlation(ind1, data1, ind2, data2, n_features)
approx_log_Gamma(x)
log_beta(x, y)
log_single_beta(x)
sparse_ll_dirichlet(ind1, data1, ind2, data2)

Attributes

sparse_named_distances
sparse_need_n_features
SPARSE_SPECIAL_METRICS

topo.base.sparse.arr_unique(arr)

topo.base.sparse.arr_union(ar1, ar2)

topo.base.sparse.arr_intersect(ar1, ar2)

topo.base.sparse.sparse_sum(ind1, data1, ind2, data2)

topo.base.sparse.sparse_diff(ind1, data1, ind2, data2)

topo.base.sparse.sparse_mul(ind1, data1, ind2, data2)

topo.base.sparse.general_sset_intersection(indptr1, indices1, data1, indptr2, indices2, data2, result_row, result_col, result_val, right_complement=False, mix_weight=0.5)

topo.base.sparse.general_sset_union(indptr1, indices1, data1, indptr2, indices2, data2, result_row, result_col, result_val)

topo.base.sparse.sparse_euclidean(ind1, data1, ind2, data2)

topo.base.sparse.sparse_manhattan(ind1, data1, ind2, data2)

topo.base.sparse.sparse_chebyshev(ind1, data1, ind2, data2)

topo.base.sparse.sparse_minkowski(ind1, data1, ind2, data2, p=2.0)

topo.base.sparse.sparse_hamming(ind1, data1, ind2, data2, n_features)

topo.base.sparse.sparse_canberra(ind1, data1, ind2, data2)

topo.base.sparse.sparse_bray_curtis(ind1, data1, ind2, data2)

topo.base.sparse.sparse_jaccard(ind1, data1, ind2, data2)

topo.base.sparse.sparse_matching(ind1, data1, ind2, data2, n_features)

topo.base.sparse.sparse_dice(ind1, data1, ind2, data2)

topo.base.sparse.sparse_kulsinski(ind1, data1, ind2, data2, n_features)

topo.base.sparse.sparse_rogers_tanimoto(ind1, data1, ind2, data2, n_features)

topo.base.sparse.sparse_russellrao(ind1, data1, ind2, data2, n_features)

topo.base.sparse.sparse_sokal_michener(ind1, data1, ind2, data2, n_features)

topo.base.sparse.sparse_sokal_sneath(ind1, data1, ind2, data2)

topo.base.sparse.sparse_cosine(ind1, data1, ind2, data2)

topo.base.sparse.sparse_hellinger(ind1, data1, ind2, data2)

topo.base.sparse.sparse_correlation(ind1, data1, ind2, data2, n_features)

topo.base.sparse.approx_log_Gamma(x)

topo.base.sparse.log_beta(x, y)

topo.base.sparse.log_single_beta(x)

topo.base.sparse.sparse_ll_dirichlet(ind1, data1, ind2, data2)

topo.base.sparse.sparse_named_distances

topo.base.sparse.sparse_need_n_features = ('hamming', 'matching', 'kulsinski', 'rogerstanimoto', 'russellrao', 'sokalmichener', 'correlation')

topo.base.sparse.SPARSE_SPECIAL_METRICS