DashAI.back.converters.OneHotEncoder
- class OneHotEncoder(**kwargs)[source]
Scikit-learn’s OneHotEncoder wrapper for DashAI.
Methods
__init__(**kwargs)changes_row_count()Indicates if the converter changes the number of rows in the dataset.
fit(x[, y])Generic fit method for sklearn transformers
fit_transform(X[, y])Fit to data, then transform it.
get_feature_names_out([input_features])Get output feature names for transformation.
get_metadata_routing()Get metadata routing of this object.
get_params([deep])Get parameters for this estimator.
get_schema()Generates the component related Json Schema.
inverse_transform(X)Convert the data back to the original representation.
set_fit_request(*[, x])Request metadata passed to the
fitmethod.set_output(*[, transform])Set output container.
set_params(**params)Set the parameters of this estimator.
set_transform_request(*[, x])Request metadata passed to the
transformmethod.transform(x[, y])Generic transform method for sklearn transformers
validate_and_transform(raw_data)It takes the data given by the user to initialize the model and returns it with all the objects that the model needs to work.
Attributes
DESCRIPTIONTYPEinfrequent_categories_Infrequent categories for each feature.