0.10.0
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API Documentation
API Documentation
ΒΆ
Python
getml.data
Functions
load_data_frame
list_data_frames
Classes
DataFrame
Placeholder
Submodules
columns
Classes
FloatColumn
StringColumn
roles
Variables
categorical
join_key
numerical
target
time_stamp
unused_float
unused_string
getml.database
Functions
connect_greenplum
connect_mariadb
connect_mysql
connect_postgres
connect_sqlite3
drop_table
execute
get
get_colnames
list_tables
read_csv
sniff_csv
getml.dataset
Functions
make_categorical
make_discrete
make_numerical
make_same_units_categorical
make_same_units_numerical
make_snowflake
getml.engine
Functions
delete_project
list_projects
is_alive
set_project
shutdown
getml.hyperopt
Functions
_decode_hyperopt
list_hyperopts
load_hyperopt
Classes
GaussianHyperparameterSearch
LatinHypercubeSearch
RandomSearch
getml.models
Functions
list_models
load_model
Classes
MultirelModel
RelboostModel
Submodules
aggregations
Variables
Avg
Count
CountDistinct
CountMinusCountDistinct
Max
Median
Min
Stddev
Sum
Var
scores
Variables
accuracy
auc
cross_entropy
mae
rmse
rsquared
loss_functions
Classes
CrossEntropyLoss
SquareLoss
getml.predictors
Classes
LinearRegression
LogisticRegression
XGBoostClassifier
XGBoostRegressor
Variables
port
Command Line Interface