Model.fit

In [ ]:
Model.fit(input_relation: (str, vDataFrame),
          X: list = [],
          ts: str = "",
          by: list = [],)

Trains the model.

Parameters

Name Type Optional Description
input_relation
str / vDataFrame
Training relation.
X
list
List of the predictors.
ts
str
Time series vcolumn to use to order the data. The vcolumn type must be date-like (date, datetime, timestamp...)
by
list
vcolumns used in the partition.

Returns

object : the cleaned relation

Example

In [5]:
from verticapy.learn.delphi import AutoDataPrep

model = AutoDataPrep("titanic_dataprep",)
model.drop()
model.fit("public.titanic",)
Out[5]:
123
pclass
Int
123
survived
Int
123
age
Numeric(45,29)
123
sibsp
Numeric(33,15)
123
parch
Numeric(33,15)
123
fare
Numeric(48,30)
123
body
Numeric(60,29)
123
sex_female
Int
123
sex_male
Int
123
ticket_113781
Int
123
ticket_1601
Int
123
ticket_19950
Int
123
ticket_3101295
Int
123
ticket_347077
Int
123
ticket_347082
Int
123
ticket_347088
Int
123
ticket_CA_2144
Int
123
ticket_CA._2343
Int
123
ticket_Others
Int
123
ticket_S.O.C._14879
Int
123
cabin_A34
Int
123
cabin_B57_B59_B63_B66
Int
123
cabin_B96_B98
Int
123
cabin_C22_C26
Int
123
cabin_C23_C25_C27
Int
...
123
embarked_C
Int
123
embarked_Q
Int
123
embarked_S
Int
123
boat_10
Int
123
boat_13
Int
123
boat_14
Int
123
boat_15
Int
123
boat_3
Int
123
boat_4
Int
123
boat_5
Int
123
boat_8
Int
123
boat_C
Int
123
boat_NULL
Int
123
boat_Others
Int
123
home.dest_Cornwall___Akron__OH
Int
123
home.dest_London
Int
123
home.dest_Montreal__PQ
Int
123
home.dest_NULL
Int
123
home.dest_New_York__NY
Int
123
home.dest_Others
Int
123
home.dest_Paris__France
Int
123
home.dest_Philadelphia__PA
Int
123
home.dest_Sweden_Winnipeg__MN
Int
123
Int
123
home.dest_Winnipeg__MB
Int
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