Index of values


__t_of_sexp__ [Column.T]
__t_of_sexp__ [Test_metrics.Variable]
__t_of_sexp__ [Bench.Variable]
__t_of_sexp__ [Bench.Column]
A
accessor [Test_metrics.Variable]
analyze [Bench]
arg [Column]
B
bench [Bench]	The documentation for all of these arguments is in the implementation, as documentation for the command line flags created by `make_command`.
C
cache [Mv_regression]
column_description_table [Column]
columns [Defaults]
columns_as_string [Defaults]
compactions [Test_metrics.Fields]
compactions [Test_metrics]
compare [Column.T]
compare_t [Column.T]
compose_float_opt_to_ns_string [To_string]
compose_float_opt_to_string [To_string]
compose_float_to_ns_string [To_string]
compose_float_to_string [To_string]
confidence95 [Mv_regression.Coefficient.Fields]
confidence95 [Mv_regression.Coefficient]
confidence95_abs_err [Mv_regression.Coefficient]
confidence95_rel_err [Mv_regression.Coefficient]
copy [Linear_algebra.Mat]	Copy a matrix
copy [Linear_algebra.Vec]	Copy a vector
create [Test_metrics.Fields]
create [Test_metrics]
create [Test.Fields]
create [Test.Basic_test.Fields]
create [Test.Basic_test]
create [Test]
create [Partial_array.Fields]
create [Partial_array]
create [Mv_regression.Coefficient.Fields]
create [Bench.Test]
create0 [Linear_algebra.Mat]	Create a matrix of 0s
create0 [Linear_algebra.Vec]	`create0 len` sreate a vector of 0s of length `len`.
create_indexed [Test]
create_indexed [Bench.Test]
create_per_row [Linear_algebra.Mat]
cycles [Test_metrics.Fields]
cycles [Test_metrics]
D
display [Defaults]
display_as_string [Defaults]
do_regression [Mv_regression]
do_regression_memoize [Mv_regression]
E
estimate [Mv_regression.Coefficient.Fields]
estimate [Mv_regression.Coefficient]
exists [Test_metrics.Fields]
exists [Test.Fields]
exists [Test.Basic_test.Fields]
exists [Partial_array.Fields]
exists [Mv_regression.Coefficient.Fields]
F
f [Test.Basic_test.Fields]
f [Test.Basic_test]
float_opt_to_ns_string [To_string]
float_opt_to_string [To_string]
float_to_ns_string [To_string]
float_to_perc_string [To_string]
float_to_string [To_string]
float_to_string_cycles [To_string]
floatify [Test_metrics.Variable]
fold [Test_metrics.Fields.Direct]
fold [Test_metrics.Fields]
fold [Test.Fields.Direct]
fold [Test.Fields]
fold [Test.Basic_test.Fields.Direct]
fold [Test.Basic_test.Fields]
fold [Partial_array.Fields.Direct]
fold [Partial_array.Fields]
fold [Mv_regression.Coefficient.Fields.Direct]
fold [Mv_regression.Coefficient.Fields]
for_all [Test_metrics.Fields]
for_all [Test.Fields]
for_all [Test.Basic_test.Fields]
for_all [Partial_array.Fields]
for_all [Mv_regression.Coefficient.Fields]
fork_each_benchmark [Defaults]
format_ns_tuple [To_string]
format_plus_or_minus [To_string]
format_tuple [To_string]
G
geometric_scale [Defaults]
get_column [Linear_algebra.Mat]	Extract a column.
get_cycles [Bench_table]
get_mv_coefficient [Bench_table]
get_mv_regr [Bench_table]
I
iter [Test_metrics.Fields.Direct]
iter [Test_metrics.Fields]
iter [Test.Fields.Direct]
iter [Test.Fields]
iter [Test.Basic_test.Fields.Direct]
iter [Test.Basic_test.Fields]
iter [Partial_array.Fields.Direct]
iter [Partial_array.Fields]
iter [Mv_regression.Coefficient.Fields.Direct]
iter [Mv_regression.Coefficient.Fields]
L
len [Partial_array.Fields]
len [Partial_array]
limit_width_to [Defaults]
load [Test_metrics]
M
major_allocated [Test_metrics.Fields]
major_allocated [Test_metrics]
major_collections [Test_metrics.Fields]
major_collections [Test_metrics]
make [Bench_command]
make_95ci [Bench_table]
make_allocated [Bench_table]
make_collections_per_k [Bench_table]
make_command [Bench]
make_creator [Test_metrics.Fields]
make_creator [Test.Fields]
make_creator [Test.Basic_test.Fields]
make_creator [Partial_array.Fields]
make_creator [Mv_regression.Coefficient.Fields]
make_filename [Test.Basic_test]
make_mv_coefficient [Bench_table]
make_name [Bench_table]
make_percentage [Bench_table]
make_rsquare [Bench_table]
make_samples [Bench_table]
make_speedup [Bench_table]
map [Test_metrics.Fields]
map [Test.Fields]
map [Test.Basic_test.Fields]
map [Partial_array.Fields]
map [Mv_regression.Coefficient.Fields]
map_poly [Test_metrics.Fields]
map_poly [Test.Fields]
map_poly [Test.Basic_test.Fields]
map_poly [Partial_array.Fields]
map_poly [Mv_regression.Coefficient.Fields]
map_to_array [Partial_array]
max [Test_metrics]
memoize_by_test_id [Bench_table]
minor_allocated [Test_metrics.Fields]
minor_allocated [Test_metrics]
minor_collections [Test_metrics.Fields]
minor_collections [Test_metrics]
mul_mv [Linear_algebra]	`mul_mv A x` computes the product `A * x` (where `M` is a matrix and `x` is a column vector).
N
name [Test.Fields]
name [Test.Basic_test.Fields]
name [Test.Basic_test]
name [Test]
name_assoc_list [Column]
name_desc_assoc_list [Column]
names [Test_metrics.Fields]
names [Test.Fields]
names [Test.Basic_test.Fields]
names [Partial_array.Fields]
names [Mv_regression.Coefficient.Fields]
nanos [Test_metrics.Fields]
nanos [Test_metrics]
no_compactions [Defaults]
norm [Linear_algebra.Vec]	The Euclidean length of a vector
O
of_string [Column]
of_string [Test_metrics.Variable]
ols [Mv_regression.Bootstrap]
ols [Linear_algebra]	`ols A b` computes the ordinary least-squares solution to A x = b.
P
predictors [Defaults]
predictors_string [Defaults]
print [Mv_regression.Bootstrap]
print [Bench_table]
print_high [Verbosity]
promoted [Test_metrics.Fields]
promoted [Test_metrics]
Q
qr [Linear_algebra]	`qr A` returns the QR-decomposition of `A` as a pair (Q,R).
quantile_of_array [Mv_regression]
R
r_square [Mv_regression]
random_indices_in_place [Mv_regression]
readme [Bench_command]
run_benchmarks [Measurement]
runs [Test_metrics.Fields]
runs [Test_metrics]
S
save [Test_metrics]
save_sample_data [Defaults]
set_compactions [Test_metrics]
set_cycles [Test_metrics]
set_len [Partial_array]
set_major_allocated [Test_metrics]
set_major_collections [Test_metrics]
set_minor_allocated [Test_metrics]
set_minor_collections [Test_metrics]
set_nanos [Test_metrics]
set_promoted [Test_metrics]
set_runs [Test_metrics]
set_verbosity [Verbosity]
sexp_of_t [Linear_algebra.Mat]
sexp_of_t [Linear_algebra.Vec]
sexp_of_t [Column.T]
sexp_of_t [Test_metrics.Variable]
sexp_of_t [Bench.Variable]
sexp_of_t [Bench.Column]
stabilize_gc_between_runs [Defaults]
string_to_display [Defaults]
sumsq [Linear_algebra.Vec]	The sum of squares of entries in a vector
T
t_of_sexp [Linear_algebra.Mat]
t_of_sexp [Linear_algebra.Vec]
t_of_sexp [Column.T]
t_of_sexp [Test_metrics.Variable]
t_of_sexp [Bench.Variable]
t_of_sexp [Bench.Column]
test_id [Test.Basic_test.Fields]
test_id [Test.Basic_test]
tests [Test.Fields]
tests [Test]
time_quota [Defaults]
time_quota_float [Defaults]
to_list [Test_metrics.Fields]
to_list [Test.Fields]
to_list [Test.Basic_test.Fields]
to_list [Partial_array.Fields]
to_list [Mv_regression.Coefficient.Fields]
to_short_singular_string [Test_metrics.Variable]
to_string [Test_metrics.Variable]
triu_solve [Linear_algebra]	`triu_solve R b` solves R x = b where `R` is an m x m upper-triangular matrix and `b` is an m x 1 column vector.
V
values [Partial_array.Fields]
values [Partial_array]
verbosity [Verbosity]