MNB trainer - gws_gaia

Typing name : TASK.gws_gaia.MultinomialNaiveBayesClassifierTrainer

Brick : gws_gaia

Predict the class labels using a Multinomial Naive Bayes (MNB) classifier

Trainer of a naive Bayes classifier for a multinomial model. Fit a naive Bayes classifier according to a training table.

See https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html for more details.

Input

Table

The input table

Table

Output

result

The output result

Multinomial naive bayes classifier result

Configuration

training_design

Define the training design, i.e. the target Y to use for the model.

Type : List

Maximum occurrences number : -1

target_name

The name of the 'columns' or 'row_tag keys' to use as targets or labels.

Type : string

target_origin

Optional

The origin of the target. Notice: Targets comming from a 'row_tag' are always considered as categorical.

Type : string

Default value : column

target_type

Optional

The type of the target (categorical or numerical). Set 'auto' to infer the correct type. Notice: targets comming from row_tags are allways considered as categorical

Type : string

Default value : auto

alpha

Optional

Type : float

Default value : 1