create_cd

Generate the columns description file with the given structure.

Method call format

create_cd(label=None,
          cat_features=None,
          text_features=None,
          embedding_features=None,
          weight=None,
          baseline=None,
          doc_id=None,
          group_id=None,
          subgroup_id=None,
          timestamp=None,
          auxiliary_columns=None,
          feature_names=None,
          output_path='train.cd')

Parameters

label

Description

A zero-based index of the column that defines the target variable (in other words, the object's label value).

Possible types

int

Default value

None

cat_features

Description

Zero-based indices of columns that define categorical features.

Possible types

• int
• list of int

Default value

None

text_features

Description

Zero-based indices of columns that define text features.

Possible types

• int
• list of int

Default value

None

embedding_features

Description

Zero-based indices of columns that define embedding features.

Possible types

• int
• list of int

Default value

None

weight

Description

A zero-based index of the column that defines the object's weight.

Possible types

int

Default value

None

baseline

Description

A zero-based index of the column that defines the initial formula values for all input objects.

Possible types

int

Default value

None

doc_id

Description

A zero-based index of the column that defines the alphanumeric ID of the object.

Possible types

int

Default value

None

group_id

Description

A zero-based index of the column that defines the identifier of the object's group.

Possible types

int

Default value

None

subgroup_id

Description

A zero-based index of the column that defines the identifier of the object's subgroup.

Possible types

int

Default value

None

timestamp

Description

A zero-based index of the column that defines the timestamp of the object.

Possible types

int

Default value

None

auxiliary_columns

Description

Zero-based indices of columns that define arbitrary data.

Possible types

• int
• list of int

Default value

None

feature_names

Description

A dictionary with the list of column indices and the corresponding feature names.

Possible types

dict

For example, use the feature_names dictionary to set the names of features in the columns indexed as 4, 5 and 12:

feature_names = {
    4: 'Categ1',
    5: 'Categ2',
    12: 'Num1'
}

Default value

None

output_path

Description

The path to the output file with columns description.

Possible types

string

Default value

train.cd

Usage examples

from catboost.utils import create_cd
feature_names = {
    4: 'Categ1',
    5: 'Categ2',
    12: 'Num1'
}

create_cd(
    label=0,
    cat_features=(4, 5, 6),
    weight=1,
    baseline=2,
    doc_id=3,
    group_id=7,
    subgroup_id=8,
    timestamp=9,
    auxiliary_columns=(10, 11),
    feature_names=feature_names,
    output_path='train.cd'
)