jakirkham / dask-distance

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• add_euclidean
• add__atleast_2d
• add__bool_dist
• add__concatenate
• add__pycompat
• add_accumulate
• add_atop_ravel
• add_bool_dist
• add_bool_dist_title
• add_braycurtis
• add_canberra
• add_cdist
• add_chebyshev
• add_cityblock
• add_compat
• add_correlation
• add_cosine
• add_dice
• add_hamming
• add_izip
• add_jaccard
• add_kulsinski
• add_mahalanobis
• add_minkowski
• add_pdist
• add_rogerstanimoto
• add_russellrao
• add_seuclidean
• add_sokalmichener
• add_sokalsneath
• add_sqeuclidean
• add_squareform
• add_wminkowski
• add_yule
• adj_cdist_asarray
• adj_hamming
• adj_hamming_sum
• broadcast_uv_wrapper
• ci_run_flake8
• cmp_many_bool_arrays
• comb_bool_cmp
• cond_def_pdist_kwargs
• d_zeros_array_squareform
• dist_more_metrics
• dist_use_kwargs
• dists_doc_more_kwargs
• drop_broadcast_repeat
• drop_cdist_fin_rchk
• drop_dask_ver_chck
• drop_dice_docs_dot
• enforce_1d_bool_arrs
• fix_euclidean_doc
• fix_license_typo
• fix_mahalanobis_doc_typo
• fix_pdist_bug
• fix_pdist_metric_def
• fix_ravel_chks
• fix_seuclidean_equ
• fix_utils_tst_name
• flake8_fixes
• master
• opt_dist_ident
• opt_gen_pdist_diag
• opt_gen_pdist_diag_2
• opt_gen_pdist_diag_recrsv
• opt_pdist_diag
• opt_squareform
• pdist_doc_more_kwargs
• pdist_grp_cdist_comps
• pdist_knwn_shape
• pdist_norm_arr
• pdist_store_mask
• pdist_use_pycompat_range
• ravel_no_concat
• rchk_lst_z_squareform
• ref_broadcast_uv
• ref_math_expr
• rename_uv_mtx
• req_numpy_dask
• req_scipy_tsts
• rfrsh_dim_check
• simp_cdist_apply
• sp_case_ravel
• sty_fix__cdist_apply
• support_1pt_pdist
• temp
• tidy_formulae
• tst_2d_more_shapes
• tst_cdist_shapes
• tst_wrong_lengths
• tsts_w_kw
• tweak_cdist_conv
• tweak_tst_comp
• use_cookiecutter
• use_mathjax_docs
• use_minkowski_dist_mat
• use_rel_imp
• v0.1.0
• v0.2.0
• vendor_indices
• wrap_braycurtis_doc

Build # 253

Build Type

push

travis-ci

Committed by jakirkham

Commit Message

Add euclidean

Implements a Dask array function for computing the Euclidean distance
between two 1-D arrays. Also tests it by comparing to the SciPy
implementation of the same name.

Run Details

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