Installation
Getting started
User Guide
API reference
Development
Release Notes
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
J
|
K
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
|
W
|
X
|
Z
_
__init__() (mars.dataframe.CustomReduction method)
(mars.dataframe.DataFrame method)
(mars.dataframe.ExecutableTuple method)
(mars.dataframe.Series method)
(mars.learn.cluster.KMeans method)
(mars.learn.contrib.pytorch.MarsRandomSampler method)
(mars.learn.decomposition.PCA method)
(mars.learn.decomposition.TruncatedSVD method)
(mars.learn.neighbors.NearestNeighbors method)
(mars.learn.semi_supervised.LabelPropagation method)
(mars.remote.ExecutableTuple method)
,
[1]
(mars.tensor.ExecutableTuple method)
(mars.tensor.random.RandomState method)
A
abs() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
absolute() (in module mars.tensor)
,
[1]
accuracy_score() (in module mars.learn.metrics)
add() (in module mars.tensor)
,
[1]
(mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
agg() (mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
aggregate() (mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
all() (in module mars.tensor)
(mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
allclose() (in module mars.tensor)
amax() (in module mars.tensor)
amin() (in module mars.tensor)
angle() (in module mars.tensor)
any() (in module mars.tensor)
(mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
append() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
apply() (mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
arange() (in module mars.tensor)
arccos() (in module mars.tensor)
,
[1]
arccosh() (in module mars.tensor)
,
[1]
arcsin() (in module mars.tensor)
,
[1]
arcsinh() (in module mars.tensor)
,
[1]
arctan() (in module mars.tensor)
,
[1]
arctan2() (in module mars.tensor)
,
[1]
arctanh() (in module mars.tensor)
,
[1]
argmax() (in module mars.tensor)
argmin() (in module mars.tensor)
argwhere() (in module mars.tensor)
around() (in module mars.tensor)
array() (in module mars.tensor)
,
[1]
array_equal() (in module mars.tensor)
array_split() (in module mars.tensor)
asarray() (in module mars.tensor)
ascontiguousarray() (in module mars.tensor)
assert_all_finite() (in module mars.learn.utils)
astype() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
at (mars.dataframe.DataFrame attribute)
(mars.dataframe.Series attribute)
atleast_1d() (in module mars.tensor)
atleast_2d() (in module mars.tensor)
atleast_3d() (in module mars.tensor)
auc() (in module mars.learn.metrics)
autocorr() (mars.dataframe.Series method)
average() (in module mars.tensor)
B
beta() (in module mars.tensor.random)
binomial() (in module mars.tensor.random)
bitwise_and() (in module mars.tensor)
,
[1]
bitwise_or() (in module mars.tensor)
,
[1]
bitwise_xor() (in module mars.tensor)
,
[1]
broadcast_arrays() (in module mars.tensor)
broadcast_to() (in module mars.tensor)
bytes() (in module mars.tensor.random)
C
c_ (in module mars.tensor)
cbrt() (in module mars.tensor)
ceil() (in module mars.tensor)
,
[1]
check_array() (in module mars.learn.utils)
check_consistent_length() (in module mars.learn.utils)
check_is_fitted() (in module mars.learn.utils.validation)
check_X_y() (in module mars.learn.utils)
chisquare() (in module mars.tensor.random)
choice() (in module mars.tensor.random)
cholesky() (in module mars.tensor.linalg)
choose() (in module mars.tensor)
classes_ (mars.learn.semi_supervised.LabelPropagation attribute)
clip() (in module mars.tensor)
cluster_centers_ (mars.learn.cluster.KMeans attribute)
column_or_1d() (in module mars.learn.utils.validation)
column_stack() (in module mars.tensor)
columns() (mars.dataframe.DataFrame property)
components_ (mars.learn.decomposition.PCA attribute)
(mars.learn.decomposition.TruncatedSVD attribute)
compress() (in module mars.tensor)
concat() (in module mars.dataframe)
concatenate() (in module mars.tensor)
conj() (in module mars.tensor)
copy() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
copysign() (in module mars.tensor)
,
[1]
copyto() (in module mars.tensor)
corr() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
corrcoef() (in module mars.tensor)
corrwith() (mars.dataframe.DataFrame method)
cos() (in module mars.tensor)
,
[1]
cosh() (in module mars.tensor)
,
[1]
cosine_distances() (in module mars.learn.metrics.pairwise)
cosine_similarity() (in module mars.learn.metrics.pairwise)
count() (mars.dataframe.DataFrame method)
(mars.dataframe.groupby.DataFrameGroupBy method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
count_nonzero() (in module mars.tensor)
cov() (in module mars.tensor)
cumcount() (mars.dataframe.groupby.GroupBy method)
cummax() (mars.dataframe.DataFrame method)
(mars.dataframe.groupby.DataFrameGroupBy method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
cummin() (mars.dataframe.DataFrame method)
(mars.dataframe.groupby.DataFrameGroupBy method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
cumprod() (in module mars.tensor)
(mars.dataframe.DataFrame method)
(mars.dataframe.groupby.DataFrameGroupBy method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
cumsum() (in module mars.tensor)
(mars.dataframe.DataFrame method)
(mars.dataframe.groupby.DataFrameGroupBy method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
CustomReduction (class in mars.dataframe)
cut() (in module mars.dataframe)
D
DataFrame (class in mars.dataframe)
date_range() (in module mars.dataframe)
deg2rad() (in module mars.tensor)
,
[1]
degrees() (in module mars.tensor)
describe() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
diag() (in module mars.tensor)
diagflat() (in module mars.tensor)
diff() (in module mars.tensor)
(mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
digitize() (in module mars.tensor)
dirichlet() (in module mars.tensor.random)
div() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
divide() (in module mars.tensor)
,
[1]
dot() (in module mars.tensor)
(mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
drop() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
drop_duplicates() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
dropna() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
dsplit() (in module mars.tensor)
dstack() (in module mars.tensor)
dtype() (mars.dataframe.Series property)
dtypes() (mars.dataframe.DataFrame property)
E
ediff1d() (in module mars.tensor)
empty() (in module mars.tensor)
empty_like() (in module mars.tensor)
eq() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
equal() (in module mars.tensor)
,
[1]
euclidean_distances() (in module mars.learn.metrics.pairwise)
ewm() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
ExecutableTuple (class in mars.dataframe)
(class in mars.remote)
,
[1]
(class in mars.tensor)
exp() (in module mars.tensor)
,
[1]
exp2() (in module mars.tensor)
,
[1]
expand_dims() (in module mars.tensor)
expanding() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
explained_variance_ (mars.learn.decomposition.PCA attribute)
(mars.learn.decomposition.TruncatedSVD attribute)
explained_variance_ratio_ (mars.learn.decomposition.PCA attribute)
(mars.learn.decomposition.TruncatedSVD attribute)
explode() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
expm1() (in module mars.tensor)
,
[1]
exponential() (in module mars.tensor.random)
extract() (in module mars.tensor)
eye() (in module mars.tensor)
,
[1]
F
f() (in module mars.tensor.random)
fft() (in module mars.tensor.fft)
fft2() (in module mars.tensor.fft)
fftfreq() (in module mars.tensor.fft)
fftn() (in module mars.tensor.fft)
fftshift() (in module mars.tensor.fft)
fillna() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
fix() (in module mars.tensor)
flatnonzero() (in module mars.tensor)
flip() (in module mars.tensor)
fliplr() (in module mars.tensor)
flipud() (in module mars.tensor)
float_power() (in module mars.tensor)
floor() (in module mars.tensor)
,
[1]
floor_divide() (in module mars.tensor)
,
[1]
floordiv() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
fmax() (in module mars.tensor)
,
[1]
fmin() (in module mars.tensor)
,
[1]
fmod() (in module mars.tensor)
,
[1]
frexp() (in module mars.tensor)
,
[1]
from_hdf5() (in module mars.tensor)
from_tiledb() (in module mars.tensor)
from_zarr() (in module mars.tensor)
full() (in module mars.tensor)
G
gamma() (in module mars.tensor.random)
ge() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
geometric() (in module mars.tensor.random)
greater() (in module mars.tensor)
,
[1]
greater_equal() (in module mars.tensor)
,
[1]
groupby() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
gt() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
gumbel() (in module mars.tensor.random)
H
haversine_distances() (in module mars.learn.metrics.pairwise)
head() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
hfft() (in module mars.tensor.fft)
histogram() (in module mars.tensor)
histogram_bin_edges() (in module mars.tensor)
hsplit() (in module mars.tensor)
hstack() (in module mars.tensor)
hypergeometric() (in module mars.tensor.random)
hypot() (in module mars.tensor)
,
[1]
I
i0() (in module mars.tensor)
iat (mars.dataframe.DataFrame attribute)
(mars.dataframe.Series attribute)
identity() (in module mars.tensor)
,
[1]
ifft() (in module mars.tensor.fft)
ifft2() (in module mars.tensor.fft)
ifftn() (in module mars.tensor.fft)
ifftshift() (in module mars.tensor.fft)
ihfft() (in module mars.tensor.fft)
iloc (mars.dataframe.DataFrame attribute)
(mars.dataframe.Series attribute)
imag() (in module mars.tensor)
index() (mars.dataframe.DataFrame property)
(mars.dataframe.Series property)
indices() (in module mars.tensor)
inertia_ (mars.learn.cluster.KMeans attribute)
inner() (in module mars.tensor)
insert() (mars.dataframe.DataFrame method)
invert() (in module mars.tensor)
,
[1]
irfft() (in module mars.tensor.fft)
irfft2() (in module mars.tensor.fft)
irfftn() (in module mars.tensor.fft)
is_multilabel() (in module mars.learn.utils.multiclass)
isclose() (in module mars.tensor)
iscomplex() (in module mars.tensor)
isfinite() (in module mars.tensor)
,
[1]
isin() (in module mars.tensor)
(mars.dataframe.Series method)
isinf() (in module mars.tensor)
,
[1]
isna() (in module mars.dataframe)
(mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
isnan() (in module mars.tensor)
,
[1]
isnull() (in module mars.dataframe)
isreal() (in module mars.tensor)
iterrows() (mars.dataframe.DataFrame method)
itertuples() (mars.dataframe.DataFrame method)
J
join() (mars.dataframe.DataFrame method)
K
k_means() (in module mars.learn.cluster)
KMeans (class in mars.learn.cluster)
kurt() (mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
kurtosis() (mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
L
label_distributions_ (mars.learn.semi_supervised.LabelPropagation attribute)
LabelPropagation (class in mars.learn.semi_supervised)
labels_ (mars.learn.cluster.KMeans attribute)
laplace() (in module mars.tensor.random)
ldexp() (in module mars.tensor)
,
[1]
le() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
left_shift() (in module mars.tensor)
,
[1]
less() (in module mars.tensor)
,
[1]
less_equal() (in module mars.tensor)
,
[1]
LGBMClassifier (in module mars.learn.contrib.lightgbm)
LGBMRanker (in module mars.learn.contrib.lightgbm)
LGBMRegressor (in module mars.learn.contrib.lightgbm)
linspace() (in module mars.tensor)
loc (mars.dataframe.DataFrame attribute)
(mars.dataframe.Series attribute)
log() (in module mars.tensor)
,
[1]
log10() (in module mars.tensor)
,
[1]
log1p() (in module mars.tensor)
,
[1]
log2() (in module mars.tensor)
,
[1]
logaddexp() (in module mars.tensor)
,
[1]
logaddexp2() (in module mars.tensor)
,
[1]
logical_and() (in module mars.tensor)
,
[1]
logical_not() (in module mars.tensor)
,
[1]
logical_or() (in module mars.tensor)
,
[1]
logical_xor() (in module mars.tensor)
,
[1]
lognormal() (in module mars.tensor.random)
logseries() (in module mars.tensor.random)
lt() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
M
make_blobs() (in module mars.learn.datasets)
make_classification() (in module mars.learn.datasets)
make_low_rank_matrix() (in module mars.learn.datasets)
manhattan_distances() (in module mars.learn.metrics.pairwise)
map() (mars.dataframe.Series method)
map_chunk() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
mars.learn.cluster
module
mars.learn.contrib.lightgbm
module
mars.learn.contrib.tensorflow
module
,
[1]
mars.learn.contrib.xgboost
module
mars.learn.datasets
module
mars.learn.decomposition
module
mars.learn.metrics
module
mars.learn.metrics.pairwise
module
mars.learn.neighbors
module
mars.learn.preprocessing
module
mars.learn.semi_supervised
module
mars.learn.utils
module
mars.tensor
module
mars.tensor.fft
module
mars.tensor.random
module
MarsDataset (in module mars.learn.contrib.pytorch)
MarsDistributedSampler (in module mars.learn.contrib.pytorch)
MarsDMatrix() (in module mars.learn.contrib.xgboost)
MarsRandomSampler (class in mars.learn.contrib.pytorch)
mask() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
matmul() (in module mars.tensor)
max() (mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
maximum() (in module mars.tensor)
,
[1]
mean() (in module mars.tensor)
(mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
mean_ (mars.learn.decomposition.PCA attribute)
melt() (in module mars.dataframe)
(mars.dataframe.DataFrame method)
memory_usage() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
merge() (in module mars.dataframe)
(mars.dataframe.DataFrame method)
meshgrid() (in module mars.tensor)
mgrid (in module mars.tensor)
min() (mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
minimum() (in module mars.tensor)
,
[1]
mod() (in module mars.tensor)
,
[1]
(mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
modf() (in module mars.tensor)
,
[1]
module
mars.learn.cluster
mars.learn.contrib.lightgbm
mars.learn.contrib.tensorflow
,
[1]
mars.learn.contrib.xgboost
mars.learn.datasets
mars.learn.decomposition
mars.learn.metrics
mars.learn.metrics.pairwise
mars.learn.neighbors
mars.learn.preprocessing
mars.learn.semi_supervised
mars.learn.utils
mars.tensor
mars.tensor.fft
mars.tensor.random
moveaxis() (in module mars.tensor)
mul() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
multinomial() (in module mars.tensor.random)
multiply() (in module mars.tensor)
,
[1]
multivariate_normal() (in module mars.tensor.random)
N
n_components_ (mars.learn.decomposition.PCA attribute)
n_iter_ (mars.learn.cluster.KMeans attribute)
(mars.learn.semi_supervised.LabelPropagation attribute)
name() (mars.dataframe.Series property)
nan_to_num() (in module mars.tensor)
nanargmax() (in module mars.tensor)
nanargmin() (in module mars.tensor)
nancumprod() (in module mars.tensor)
nancumsum() (in module mars.tensor)
nanmax() (in module mars.tensor)
nanmean() (in module mars.tensor)
nanmin() (in module mars.tensor)
nanprod() (in module mars.tensor)
nanstd() (in module mars.tensor)
nansum() (in module mars.tensor)
nanvar() (in module mars.tensor)
ndim() (mars.dataframe.DataFrame property)
(mars.dataframe.Series property)
ne() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
NearestNeighbors (class in mars.learn.neighbors)
negative() (in module mars.tensor)
,
[1]
negative_binomial() (in module mars.tensor.random)
nextafter() (in module mars.tensor)
,
[1]
noise_variance_ (mars.learn.decomposition.PCA attribute)
noncentral_chisquare() (in module mars.tensor.random)
noncentral_f() (in module mars.tensor.random)
nonzero() (in module mars.tensor)
norm() (in module mars.tensor.linalg)
normal() (in module mars.tensor.random)
normalize() (in module mars.learn.preprocessing)
not_equal() (in module mars.tensor)
,
[1]
notna() (in module mars.dataframe)
(mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
notnull() (in module mars.dataframe)
nunique() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
O
ogrid (in module mars.tensor)
ones() (in module mars.tensor)
ones_like() (in module mars.tensor)
P
pairwise_distances() (in module mars.learn.metrics)
pareto() (in module mars.tensor.random)
PCA (class in mars.learn.decomposition)
poisson() (in module mars.tensor.random)
pop() (mars.dataframe.DataFrame method)
positive() (in module mars.tensor)
pow() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
power() (in module mars.tensor)
,
[1]
(in module mars.tensor.random)
predict() (in module mars.learn.contrib.xgboost)
prod() (in module mars.tensor)
(mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
product() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
ptp() (in module mars.tensor)
Q
qcut() (in module mars.dataframe)
qr() (in module mars.tensor.linalg)
quantile() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
R
r_ (in module mars.tensor)
rad2deg() (in module mars.tensor)
,
[1]
radd() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
radians() (in module mars.tensor)
rand() (in module mars.tensor.random)
randint() (in module mars.tensor.random)
,
[1]
randn() (in module mars.tensor.random)
random() (in module mars.tensor.random)
random_integers() (in module mars.tensor.random)
random_sample() (in module mars.tensor.random)
RandomState (class in mars.tensor.random)
ranf() (in module mars.tensor.random)
ravel() (in module mars.tensor)
rayleigh() (in module mars.tensor.random)
rbf_kernel() (in module mars.learn.metrics.pairwise)
rdiv() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
read_csv() (in module mars.dataframe)
read_parquet() (in module mars.dataframe)
read_sql() (in module mars.dataframe)
read_sql_query() (in module mars.dataframe)
read_sql_table() (in module mars.dataframe)
real() (in module mars.tensor)
rebalance() (mars.dataframe.DataFrame method)
reciprocal() (in module mars.tensor)
,
[1]
reindex() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
remainder() (in module mars.tensor)
,
[1]
rename() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
repeat() (in module mars.tensor)
reset_index() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
reshape() (in module mars.tensor)
rfft() (in module mars.tensor.fft)
rfft2() (in module mars.tensor.fft)
rfftfreq() (in module mars.tensor.fft)
rfftn() (in module mars.tensor.fft)
rfloordiv() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
right_shift() (in module mars.tensor)
,
[1]
rint() (in module mars.tensor)
,
[1]
rmod() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
rmul() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
roc_curve() (in module mars.learn.metrics)
roll() (in module mars.tensor)
rollaxis() (in module mars.tensor)
rolling() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
round() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
round_() (in module mars.tensor)
rpow() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
rsub() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
rtruediv() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
run_pytorch_script() (in module mars.learn.contrib.pytorch)
run_tensorflow_script() (in module mars.learn.contrib.tensorflow)
S
sample() (in module mars.tensor.random)
searchsorted() (in module mars.tensor)
seed() (in module mars.tensor.random)
select_dtypes() (mars.dataframe.DataFrame method)
sem() (mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
Series (class in mars.dataframe)
set_index() (mars.dataframe.DataFrame method)
shape() (mars.dataframe.DataFrame property)
(mars.dataframe.Series property)
shift() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
shuffle() (in module mars.learn.utils)
sign() (in module mars.tensor)
,
[1]
signbit() (in module mars.tensor)
,
[1]
sin() (in module mars.tensor)
,
[1]
sinc() (in module mars.tensor)
singular_values_ (mars.learn.decomposition.PCA attribute)
(mars.learn.decomposition.TruncatedSVD attribute)
sinh() (in module mars.tensor)
,
[1]
size() (mars.dataframe.groupby.GroupBy method)
skew() (mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
sort() (in module mars.tensor)
(mars.tensor.core.Tensor method)
sort_index() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
sort_values() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
spacing() (in module mars.tensor)
spawn() (in module mars.remote)
,
[1]
split() (in module mars.tensor)
sqrt() (in module mars.tensor)
,
[1]
square() (in module mars.tensor)
,
[1]
squeeze() (in module mars.tensor)
stack() (in module mars.tensor)
(mars.dataframe.DataFrame method)
standard_cauchy() (in module mars.tensor.random)
standard_exponential() (in module mars.tensor.random)
standard_gamma() (in module mars.tensor.random)
standard_normal() (in module mars.tensor.random)
standard_t() (in module mars.tensor.random)
std() (in module mars.tensor)
(mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
sub() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
subtract() (in module mars.tensor)
,
[1]
sum() (in module mars.tensor)
(mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
svd() (in module mars.tensor.linalg)
swapaxes() (in module mars.tensor)
T
T() (mars.tensor.core.Tensor property)
tail() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
take() (in module mars.tensor)
tan() (in module mars.tensor)
,
[1]
tanh() (in module mars.tensor)
,
[1]
tensor() (in module mars.tensor)
,
[1]
tensordot() (in module mars.tensor)
tile() (in module mars.tensor)
to_csv() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
to_datetime() (in module mars.dataframe)
to_frame() (mars.dataframe.Series method)
to_hdf5() (in module mars.tensor)
to_parquet() (mars.dataframe.DataFrame method)
to_sql() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
to_tensor() (mars.dataframe.Series method)
to_tiledb() (in module mars.tensor)
to_zarr() (in module mars.tensor)
train() (in module mars.learn.contrib.xgboost)
train_test_split() (in module mars.learn.model_selection)
transduction_ (mars.learn.semi_supervised.LabelPropagation attribute)
transform() (mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
transpose() (in module mars.tensor)
trapz() (in module mars.tensor)
triangular() (in module mars.tensor.random)
tril() (in module mars.tensor)
triu() (in module mars.tensor)
true_divide() (in module mars.tensor)
,
[1]
truediv() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
trunc() (in module mars.tensor)
,
[1]
TruncatedSVD (class in mars.learn.decomposition)
tshift() (mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
type_of_target() (in module mars.learn.utils.multiclass)
U
uniform() (in module mars.tensor.random)
union1d() (in module mars.tensor)
unravel_index() (in module mars.tensor)
V
value_counts() (mars.dataframe.Series method)
var() (in module mars.tensor)
(mars.dataframe.DataFrame method)
(mars.dataframe.groupby.GroupBy method)
(mars.dataframe.Series method)
vdot() (in module mars.tensor)
vonmises() (in module mars.tensor.random)
vsplit() (in module mars.tensor)
vstack() (in module mars.tensor)
W
wald() (in module mars.tensor.random)
weibull() (in module mars.tensor.random)
where() (in module mars.tensor)
(mars.dataframe.DataFrame method)
(mars.dataframe.Series method)
X
X_ (mars.learn.semi_supervised.LabelPropagation attribute)
XGBClassifier (in module mars.learn.contrib.xgboost)
XGBRegressor (in module mars.learn.contrib.xgboost)
Z
zeros() (in module mars.tensor)
,
[1]
zeros_like() (in module mars.tensor)
zipf() (in module mars.tensor.random)