0.15.0
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Index
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
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H
|
I
|
J
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
|
W
|
X
|
Y
A
abs() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
accuracy() (getml.pipeline.Pipeline property)
(getml.pipeline.Scores property)
acos() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
add() (getml.data.DataFrame method)
Aggregation (class in getml.data.columns)
alias() (getml.data.columns.FloatColumn method)
(getml.data.columns.StringColumn method)
as_num() (getml.data.columns.StringColumn method)
(getml.data.columns.VirtualBooleanColumn method)
(getml.data.columns.VirtualStringColumn method)
as_str() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualBooleanColumn method)
(getml.data.columns.VirtualFloatColumn method)
as_ts() (getml.data.columns.StringColumn method)
(getml.data.columns.VirtualStringColumn method)
asin() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
assert_equal() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
atan() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
auc() (getml.pipeline.Pipeline property)
(getml.pipeline.Scores property)
Avg (in module getml.feature_learning.aggregations)
avg() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
B
best_pipeline() (getml.hyperopt.GaussianHyperparameterSearch property)
(getml.hyperopt.LatinHypercubeSearch property)
(getml.hyperopt.RandomSearch property)
bfgs (in module getml.hyperopt.optimization)
C
categorical (in module getml.data.roles)
categorical_names() (getml.data.DataFrame property)
cbrt() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
ceil() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
check() (getml.pipeline.Pipeline method)
clean_up() (getml.hyperopt.GaussianHyperparameterSearch method)
(getml.hyperopt.LatinHypercubeSearch method)
(getml.hyperopt.RandomSearch method)
colnames() (getml.data.DataFrame property)
Columns (class in getml.pipeline)
columns() (getml.pipeline.Pipeline property)
concat() (in module getml.data)
connect_greenplum() (in module getml.database)
connect_mariadb() (in module getml.database)
connect_mysql() (in module getml.database)
connect_odbc() (in module getml.database)
connect_postgres() (in module getml.database)
connect_sqlite3() (in module getml.database)
Connection (class in getml.database)
contains() (getml.data.columns.StringColumn method)
(getml.data.columns.VirtualStringColumn method)
copy() (getml.data.DataFrame method)
copy_table() (in module getml.database)
correlation() (getml.pipeline.Features property)
correlations() (getml.pipeline.Features method)
cos() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
Count (in module getml.feature_learning.aggregations)
count() (getml.data.columns.FloatColumn method)
(getml.data.columns.StringColumn method)
(getml.data.columns.VirtualFloatColumn method)
(getml.data.columns.VirtualStringColumn method)
count_distinct() (getml.data.columns.StringColumn method)
(getml.data.columns.VirtualStringColumn method)
CountDistinct (in module getml.feature_learning.aggregations)
CountMinusCountDistinct (in module getml.feature_learning.aggregations)
cross_entropy() (getml.pipeline.Pipeline property)
(getml.pipeline.Scores property)
D
data_frames (in module getml.project)
DataFrame (class in getml.data)
DataFrames (class in getml.data)
day() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
days() (in module getml.data.time)
delete() (getml.data.DataFrame method)
(getml.pipeline.Pipeline method)
(in module getml.data)
(in module getml.pipeline)
(in module getml.project)
delete_all() (getml.data.DataFrames method)
delete_project() (in module getml.engine)
deploy() (getml.pipeline.Pipeline method)
drop() (getml.data.DataFrame method)
drop_table() (in module getml.database)
E
EmailDomain (class in getml.preprocessors)
environment variable
PATH
,
[1]
erf() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
execute() (in module getml.database)
exists() (in module getml.data)
(in module getml.pipeline)
exp (in module getml.hyperopt.kernels)
exp() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
F
FastPropModel (class in getml.feature_learning)
FastPropTimeSeries (class in getml.feature_learning)
Features (class in getml.pipeline)
features() (getml.pipeline.Pipeline property)
filter() (getml.data.DataFrames method)
(getml.hyperopt.Hyperopts method)
(getml.pipeline.Columns method)
(getml.pipeline.Features method)
(getml.pipeline.Pipelines method)
(getml.pipeline.Scores method)
find() (getml.pipeline.SQLCode method)
First (in module getml.feature_learning.aggregations)
fit() (getml.hyperopt.GaussianHyperparameterSearch method)
(getml.hyperopt.LatinHypercubeSearch method)
(getml.hyperopt.RandomSearch method)
(getml.pipeline.Pipeline method)
fitted() (getml.pipeline.Pipeline property)
FloatColumn (class in getml.data.columns)
floor() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
from_csv() (getml.data.DataFrame class method)
from_db() (getml.data.DataFrame class method)
from_dict() (getml.data.DataFrame class method)
from_json() (getml.data.DataFrame class method)
from_pandas() (getml.data.DataFrame class method)
from_s3() (getml.data.DataFrame class method)
G
gamma() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
gauss (in module getml.hyperopt.kernels)
GaussianHyperparameterSearch (class in getml.hyperopt)
get() (getml.data.columns.Aggregation method)
(in module getml.database)
get_colnames() (in module getml.database)
getml
module
getml.data
module
getml.data.columns
module
getml.data.relationship
module
getml.data.roles
module
getml.data.time
module
getml.database
module
getml.datasets
module
getml.engine
module
getml.feature_learning
module
getml.feature_learning.aggregations
module
getml.hyperopt
module
getml.hyperopt.burn_in
module
getml.hyperopt.kernels
module
getml.hyperopt.optimization
module
getml.pipeline
module
getml.predictors
module
getml.preprocessors
module
getml.project
module
group_by() (getml.data.DataFrame method)
H
hour() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
hours() (in module getml.data.time)
Hyperopts (class in getml.hyperopt)
hyperopts (in module getml.project)
I
id() (getml.hyperopt.GaussianHyperparameterSearch property)
(getml.hyperopt.LatinHypercubeSearch property)
(getml.hyperopt.RandomSearch property)
(getml.pipeline.Pipeline property)
importance() (getml.pipeline.Features property)
importances() (getml.pipeline.Columns method)
(getml.pipeline.Features method)
Imputation (class in getml.preprocessors)
in_memory() (getml.data.DataFrames property)
in_project_folder() (getml.data.DataFrames property)
info() (getml.pipeline.Pipeline method)
is_alive() (in module getml.engine)
is_classification() (getml.pipeline.Pipeline property)
is_engine_alive() (in module getml.engine)
is_false() (getml.data.columns.VirtualBooleanColumn method)
is_inf() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
is_monitor_alive() (in module getml.engine)
is_nan() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
is_null() (getml.data.columns.FloatColumn method)
(getml.data.columns.StringColumn method)
(getml.data.columns.VirtualFloatColumn method)
(getml.data.columns.VirtualStringColumn method)
is_regression() (getml.pipeline.Pipeline property)
J
join() (getml.data.DataFrame method)
(getml.data.Placeholder method)
join_key (in module getml.data.roles)
join_key_names() (getml.data.DataFrame property)
L
Last (in module getml.feature_learning.aggregations)
latin_hypercube (in module getml.hyperopt.burn_in)
LatinHypercubeSearch (class in getml.hyperopt)
length() (getml.data.columns.FloatColumn property)
(getml.data.columns.StringColumn property)
(getml.data.columns.VirtualBooleanColumn property)
(getml.data.columns.VirtualFloatColumn property)
(getml.data.columns.VirtualStringColumn property)
lgamma() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
lift_curve() (getml.pipeline.Metrics method)
LinearRegression (class in getml.predictors)
list_connections() (in module getml.database)
list_data_frames() (in module getml.data)
list_hyperopts() (in module getml.hyperopt)
list_pipelines() (in module getml.pipeline)
list_projects() (in module getml.engine)
list_running_projects() (in module getml.engine)
list_tables() (in module getml.database)
load() (getml.data.DataFrame method)
(in module getml.pipeline)
load_air_pollution() (in module getml.datasets)
load_all() (getml.data.DataFrames method)
load_atherosclerosis() (in module getml.datasets)
load_biodegradability() (in module getml.datasets)
load_consumer_expenditures() (in module getml.datasets)
load_data_frame() (in module getml.data)
load_hyperopt() (in module getml.hyperopt)
load_interstate94() (in module getml.datasets)
load_loans() (in module getml.datasets)
load_occupancy() (in module getml.datasets)
log() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
LogisticRegression (class in getml.predictors)
M
mae() (getml.pipeline.Pipeline property)
(getml.pipeline.Scores property)
make_categorical() (in module getml.datasets)
make_discrete() (in module getml.datasets)
make_numerical() (in module getml.datasets)
make_same_units_categorical() (in module getml.datasets)
make_same_units_numerical() (in module getml.datasets)
make_snowflake() (in module getml.datasets)
many_to_many (in module getml.data.relationship)
many_to_one (in module getml.data.relationship)
matern32 (in module getml.hyperopt.kernels)
matern52 (in module getml.hyperopt.kernels)
Max (in module getml.feature_learning.aggregations)
max() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
Median (in module getml.feature_learning.aggregations)
median() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
memory_usage() (getml.data.DataFrame property)
Metrics (class in getml.pipeline)
metrics() (getml.pipeline.Pipeline property)
microseconds() (in module getml.data.time)
milliseconds() (in module getml.data.time)
Min (in module getml.feature_learning.aggregations)
min() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
minute() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
minutes() (in module getml.data.time)
module
getml
getml.data
getml.data.columns
getml.data.relationship
getml.data.roles
getml.data.time
getml.database
getml.datasets
getml.engine
getml.feature_learning
getml.feature_learning.aggregations
getml.hyperopt
getml.hyperopt.burn_in
getml.hyperopt.kernels
getml.hyperopt.optimization
getml.pipeline
getml.predictors
getml.preprocessors
getml.project
month() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
MultirelModel (class in getml.feature_learning)
MultirelTimeSeries (class in getml.feature_learning)
N
n_bytes() (getml.data.DataFrame method)
n_categorical() (getml.data.DataFrame property)
n_cols() (getml.data.DataFrame method)
n_join_keys() (getml.data.DataFrame property)
n_numerical() (getml.data.DataFrame property)
n_rows() (getml.data.DataFrame method)
n_targets() (getml.data.DataFrame property)
n_time_stamps() (getml.data.DataFrame property)
n_unused() (getml.data.DataFrame property)
n_unused_floats() (getml.data.DataFrame property)
n_unused_strings() (getml.data.DataFrame property)
name (in module getml.project)
name() (getml.data.columns.FloatColumn property)
(getml.data.columns.StringColumn property)
(getml.hyperopt.GaussianHyperparameterSearch property)
(getml.hyperopt.LatinHypercubeSearch property)
(getml.hyperopt.RandomSearch property)
(getml.pipeline.Features property)
(getml.pipeline.Pipeline property)
names() (getml.pipeline.Columns property)
(getml.pipeline.Features property)
nelder_mead (in module getml.hyperopt.optimization)
num_column() (getml.data.DataFrame method)
numerical (in module getml.data.roles)
numerical_names() (getml.data.DataFrame property)
O
one_to_many (in module getml.data.relationship)
one_to_one (in module getml.data.relationship)
P
PATH
,
[1]
Pipeline (class in getml.pipeline)
Pipelines (class in getml.pipeline)
pipelines (in module getml.project)
Placeholder (class in getml.data)
precision_recall_curve() (getml.pipeline.Metrics method)
predict() (getml.pipeline.Pipeline method)
R
random (in module getml.hyperopt.burn_in)
random() (getml.data.DataFrame method)
RandomSearch (class in getml.hyperopt)
read_csv() (getml.data.DataFrame method)
(in module getml.database)
read_db() (getml.data.DataFrame method)
read_json() (getml.data.DataFrame method)
read_pandas() (getml.data.DataFrame method)
read_query() (getml.data.DataFrame method)
read_s3() (getml.data.DataFrame method)
(in module getml.database)
refresh() (getml.data.DataFrame method)
(getml.hyperopt.GaussianHyperparameterSearch method)
(getml.hyperopt.LatinHypercubeSearch method)
(getml.hyperopt.RandomSearch method)
(getml.pipeline.Pipeline method)
RelboostModel (class in getml.feature_learning)
RelboostTimeSeries (class in getml.feature_learning)
RelMTModel (class in getml.feature_learning)
RelMTTimeSeries (class in getml.feature_learning)
restart() (in module getml.project)
restart_project() (in module getml.engine)
retrieve_all() (getml.data.DataFrames method)
rmse() (getml.pipeline.Pipeline property)
(getml.pipeline.Scores property)
roc_curve() (getml.pipeline.Metrics method)
role() (getml.data.columns.FloatColumn property)
(getml.data.columns.StringColumn property)
roles() (getml.data.DataFrame property)
round() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
rowid() (getml.data.DataFrame method)
rsquared() (getml.pipeline.Pipeline property)
(getml.pipeline.Scores property)
S
save() (getml.data.DataFrame method)
(getml.pipeline.SQLCode method)
save_all() (getml.data.DataFrames method)
score() (getml.hyperopt.GaussianHyperparameterSearch property)
(getml.hyperopt.LatinHypercubeSearch property)
(getml.hyperopt.RandomSearch property)
(getml.pipeline.Pipeline method)
scored() (getml.pipeline.Pipeline property)
Scores (class in getml.pipeline)
scores() (getml.pipeline.Pipeline property)
Seasonal (class in getml.preprocessors)
second() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
seconds() (in module getml.data.time)
select() (getml.pipeline.Columns method)
set_project() (in module getml.engine)
set_relations() (getml.data.Placeholder method)
set_role() (getml.data.DataFrame method)
set_s3_access_key_id() (in module getml.engine)
set_s3_secret_access_key() (in module getml.engine)
set_unit() (getml.data.DataFrame method)
shape() (getml.data.DataFrame property)
shutdown() (in module getml.engine)
sin() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
Skew (in module getml.feature_learning.aggregations)
sniff_csv() (in module getml.database)
sniff_s3() (in module getml.database)
sort() (getml.data.DataFrames method)
(getml.hyperopt.Hyperopts method)
(getml.pipeline.Columns method)
(getml.pipeline.Features method)
(getml.pipeline.Pipelines method)
(getml.pipeline.Scores method)
SQLCode (class in getml.pipeline)
sqrt() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
Stddev (in module getml.feature_learning.aggregations)
stddev() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
string_column() (getml.data.DataFrame method)
StringColumn (class in getml.data.columns)
substr() (getml.data.columns.StringColumn method)
(getml.data.columns.VirtualStringColumn method)
Substring (class in getml.preprocessors)
Sum (in module getml.feature_learning.aggregations)
sum() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
suspend() (in module getml.project)
suspend_project() (in module getml.engine)
switch() (in module getml.project)
T
tan() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
target (in module getml.data.roles)
target_names() (getml.data.DataFrame property)
targets() (getml.pipeline.Pipeline property)
time_stamp (in module getml.data.roles)
time_stamp_names() (getml.data.DataFrame property)
to_csv() (getml.data.DataFrame method)
to_db() (getml.data.DataFrame method)
to_html() (getml.data.DataFrame method)
to_json() (getml.data.DataFrame method)
to_numpy() (getml.data.columns.FloatColumn method)
(getml.data.columns.StringColumn method)
(getml.data.columns.VirtualBooleanColumn method)
(getml.data.columns.VirtualFloatColumn method)
(getml.data.columns.VirtualStringColumn method)
to_pandas() (getml.data.DataFrame method)
(getml.pipeline.Columns method)
(getml.pipeline.Features method)
to_placeholder() (getml.data.DataFrame method)
to_s3() (getml.data.DataFrame method)
to_sql() (getml.pipeline.Features method)
to_str() (getml.pipeline.SQLCode method)
transform() (getml.pipeline.Pipeline method)
tune_feature_learners() (in module getml.hyperopt)
tune_predictors() (in module getml.hyperopt)
type() (getml.hyperopt.GaussianHyperparameterSearch property)
(getml.hyperopt.LatinHypercubeSearch property)
(getml.hyperopt.RandomSearch property)
U
unit() (getml.data.columns.FloatColumn property)
(getml.data.columns.StringColumn property)
unused_float (in module getml.data.roles)
unused_float_names() (getml.data.DataFrame property)
unused_names() (getml.data.DataFrame property)
unused_string (in module getml.data.roles)
unused_string_names() (getml.data.DataFrame property)
update() (getml.data.columns.FloatColumn method)
(getml.data.columns.StringColumn method)
(getml.data.columns.VirtualFloatColumn method)
(getml.data.columns.VirtualStringColumn method)
V
validate() (getml.feature_learning.FastPropModel method)
(getml.feature_learning.FastPropTimeSeries method)
(getml.feature_learning.MultirelModel method)
(getml.feature_learning.MultirelTimeSeries method)
(getml.feature_learning.RelboostModel method)
(getml.feature_learning.RelboostTimeSeries method)
(getml.feature_learning.RelMTModel method)
(getml.feature_learning.RelMTTimeSeries method)
(getml.hyperopt.GaussianHyperparameterSearch method)
(getml.hyperopt.LatinHypercubeSearch method)
(getml.hyperopt.RandomSearch method)
(getml.pipeline.Pipeline method)
(getml.predictors.LinearRegression method)
(getml.predictors.LogisticRegression method)
(getml.predictors.XGBoostClassifier method)
(getml.predictors.XGBoostRegressor method)
Var (in module getml.feature_learning.aggregations)
var() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
VirtualBooleanColumn (class in getml.data.columns)
VirtualFloatColumn (class in getml.data.columns)
VirtualStringColumn (class in getml.data.columns)
W
weekday() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
weeks() (in module getml.data.time)
where() (getml.data.DataFrame method)
X
XGBoostClassifier (class in getml.predictors)
XGBoostRegressor (class in getml.predictors)
Y
year() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)
yearday() (getml.data.columns.FloatColumn method)
(getml.data.columns.VirtualFloatColumn method)