Class: MissingIndicator

Binary indicators for missing values.

Note that this component typically should not be used in a vanilla Pipeline consisting of transformers and a classifier, but rather could be added using a FeatureUnion or ColumnTransformer.

Constructors

new MissingIndicator()

new MissingIndicator(opts?): MissingIndicator

Parameters

Parameter	Type	Description
`opts`?	`object`	-
`opts.error_on_new`?	`boolean`	If `true`, `transform` will raise an error when there are features with missing values that have no missing values in `fit`. This is applicable only when `features='missing-only'`.
`opts.features`?	`"all"` \| `"missing-only"`	Whether the imputer mask should represent all or a subset of features.
`opts.missing_values`?	`string` \| `number`	The placeholder for the missing values. All occurrences of `missing_values` will be imputed. For pandas’ dataframes with nullable integer dtypes with missing values, `missing_values` should be set to `np.nan`, since `pd.NA` will be converted to `np.nan`.
`opts.sparse`?	`boolean` \| `"auto"`	Whether the imputer mask format should be sparse or dense.

Returns MissingIndicator

Defined in generated/impute/MissingIndicator.ts:25

Properties

Property	Type	Default value	Defined in
`_isDisposed`	`boolean`	`false`	generated/impute/MissingIndicator.ts:23
`_isInitialized`	`boolean`	`false`	generated/impute/MissingIndicator.ts:22
`_py`	`PythonBridge`	`undefined`	generated/impute/MissingIndicator.ts:21
`id`	`string`	`undefined`	generated/impute/MissingIndicator.ts:18
`opts`	`any`	`undefined`	generated/impute/MissingIndicator.ts:19

Accessors

feature_names_in_

Get Signature

get feature_names_in_(): Promise<ArrayLike>

Names of features seen during fit. Defined only when X has feature names that are all strings.

Returns Promise<ArrayLike>

Defined in generated/impute/MissingIndicator.ts:405

features_

Get Signature

get features_(): Promise<ArrayLike>

The features indices which will be returned when calling transform. They are computed during fit. If features='all', features_ is equal to range(n_features).

Returns Promise<ArrayLike>

Defined in generated/impute/MissingIndicator.ts:351

n_features_in_

Get Signature

get n_features_in_(): Promise<number>

Number of features seen during fit.

Returns Promise<number>

Defined in generated/impute/MissingIndicator.ts:378

py

Get Signature

get py(): PythonBridge

Returns PythonBridge

Set Signature

set py(pythonBridge): void

Parameters

Parameter	Type
`pythonBridge`	`PythonBridge`

Returns void

Defined in generated/impute/MissingIndicator.ts:56

Methods

dispose()

dispose(): Promise<void>

Disposes of the underlying Python resources.

Once dispose() is called, the instance is no longer usable.

Returns Promise<void>

Defined in generated/impute/MissingIndicator.ts:110

fit()

fit(opts): Promise<any>

Fit the transformer on X.

Parameters

Parameter	Type	Description
`opts`	`object`	-
`opts.X`?	`ArrayLike`	Input data, where `n_samples` is the number of samples and `n_features` is the number of features.
`opts.y`?	`any`	Not used, present for API consistency by convention.