Pipeline

Defined in: ds/src/ml/pipeline.js:20

Pipeline class for chaining transformers and estimators

Extends

• Estimator

Constructors

Constructor

new Pipeline(steps): Pipeline

Defined in: ds/src/ml/pipeline.js:25

Create a pipeline

Parameters

steps

any[]

Array of transformers/estimators

Returns

Pipeline

Overrides

Estimator.constructor

Properties

_state

_state: object

Defined in: ds/src/core/estimators/estimator.js:27

Inherited from

Estimator._state

---

_warnings

_warnings: any[]

Defined in: ds/src/core/estimators/estimator.js:29

Inherited from

Estimator._warnings

---

fitted

fitted: boolean

Defined in: ds/src/core/estimators/estimator.js:25

Inherited from

Estimator.fitted

---

params

params: any

Defined in: ds/src/core/estimators/estimator.js:24

Inherited from

Estimator.params

---

steps

steps: any[]

Defined in: ds/src/ml/pipeline.js:31

Methods

_prepareArgsForFit()

_prepareArgsForFit(args?): { columns?: undefined; columnsX: any[]; prepared: boolean; raw?: undefined; rows: any[]; X: any[][]; y: any[]; } | { columns: any[]; columnsX?: undefined; prepared: boolean; raw?: undefined; rows: any[]; X: any[][]; y?: undefined; } | { columns?: undefined; columnsX?: undefined; prepared?: undefined; raw: any[]; rows?: undefined; X?: undefined; y?: undefined; }

Defined in: ds/src/core/estimators/estimator.js:367

Convenience helper: parse arguments passed to fit/predict/transform.

Supports declarative table-style inputs:

• fit({ X, y, data, omit_missing })
• fit({ data, columns, … })

Returns an object { X, y, prepared, rows } where X/y are numeric arrays if preparation was required, otherwise returns the original values.

Note: this helper only prepares numeric matrices/vectors using core table utilities; it does not perform encoding of categorical predictors.

Parameters

args?

any[] = []

Returns

{ columns?: undefined; columnsX: any[]; prepared: boolean; raw?: undefined; rows: any[]; X: any[][]; y: any[]; } | { columns: any[]; columnsX?: undefined; prepared: boolean; raw?: undefined; rows: any[]; X: any[][]; y?: undefined; } | { columns?: undefined; columnsX?: undefined; prepared?: undefined; raw: any[]; rows?: undefined; X?: undefined; y?: undefined; }

Inherited from

Estimator._prepareArgsForFit

---

_repr_html_()

_repr_html_(): string

Defined in: ds/src/core/estimators/estimator.js:201

Observable/Jupyter HTML representation

Returns

string

HTML representation

Inherited from

Estimator._repr_html_

---

clearWarnings()

clearWarnings(): void

Defined in: ds/src/core/estimators/estimator.js:139

Clear all warnings

Returns

void

Inherited from

Estimator.clearWarnings

---

fit()

fit(X, y?): Pipeline

Defined in: ds/src/ml/pipeline.js:40

Fit all steps

Parameters

X

any[]

Feature matrix

y?

any[] = null

Target values (optional)

Returns

Pipeline

this

Overrides

Estimator.fit

---

fitTransform()

fitTransform(X, y?): any[]

Defined in: ds/src/ml/pipeline.js:93

Fit and transform in one step

Parameters

X

any[]

Feature matrix

y?

any[] = null

Target values (optional)

Returns

any[]

Transformed data

---

getFinalEstimator()

getFinalEstimator(): any

Defined in: ds/src/ml/pipeline.js:129

Get final estimator

Returns

any

Final step

---

getMemoryUsage()

getMemoryUsage(): string

Defined in: ds/src/core/estimators/estimator.js:97

Get memory usage in human-readable format

Returns

string

Memory usage string (e.g., “2.3 MB” or “145 KB”)

Inherited from

Estimator.getMemoryUsage

---

getParams()

getParams(): any

Defined in: ds/src/core/estimators/estimator.js:294

Get a shallow copy of parameters.

Returns

any

Inherited from

Estimator.getParams

---

getState()

getState(): any

Defined in: ds/src/core/estimators/estimator.js:65

Get comprehensive model state

Returns

any

State information including fitted status, memory estimate, warnings

Inherited from

Estimator.getState

---

getWarnings()

getWarnings(): any[]

Defined in: ds/src/core/estimators/estimator.js:124

Get all warnings

Returns

any[]

Array of warning objects

Inherited from

Estimator.getWarnings

---

getWarningsByType()

getWarningsByType(type): any[]

Defined in: ds/src/core/estimators/estimator.js:148

Get warnings of a specific type

Parameters

type

string

Warning type

Returns

any[]

Filtered warnings

Inherited from

Estimator.getWarningsByType

---

hasWarnings()

hasWarnings(): boolean

Defined in: ds/src/core/estimators/estimator.js:132

Check if model has warnings

Returns

boolean

Inherited from

Estimator.hasWarnings

---

isFitted()

isFitted(): boolean

Defined in: ds/src/core/estimators/estimator.js:36

Check if model is fitted

Returns

boolean

Inherited from

Estimator.isFitted

---

predict()

predict(X): any[]

Defined in: ds/src/ml/pipeline.js:103

Predict using final estimator

Parameters

X

any[]

Feature matrix

Returns

any[]

Predictions

Overrides

Estimator.predict

---

save()

save(): string

Defined in: ds/src/core/estimators/estimator.js:329

Save model to JSON string

Returns

string

JSON representation of the model

Inherited from

Estimator.save

---

setParams()

setParams(params?): Pipeline

Defined in: ds/src/core/estimators/estimator.js:285

Set parameters (mutates instance).

Parameters

params?

any = {}

Returns

Pipeline

Inherited from

Estimator.setParams

---

toJSON()

toJSON(): object

Defined in: ds/src/core/estimators/estimator.js:302

Serialize minimal model metadata. Subclasses may override to include learned parameters.

Returns

object

fitted

fitted: boolean

params

params: any

state

state: object

warnings

warnings: any[]

Inherited from

Estimator.toJSON

---

transform()

transform(X): any[]

Defined in: ds/src/ml/pipeline.js:73

Transform data through all steps

Parameters

X

any[]

Feature matrix

Returns

any[]

Transformed data

Overrides

Estimator.transform

---

fromJSON()

static fromJSON(obj?): Estimator

Defined in: ds/src/core/estimators/estimator.js:317

Basic deserialization. Subclasses should override if they need to restore learned arrays / matrices.

Parameters

obj?

any = {}

Returns

Estimator

Inherited from

Estimator.fromJSON

---

load()

static load(jsonString): Estimator

Defined in: ds/src/core/estimators/estimator.js:346

Load model from JSON string

Parameters

jsonString

string

JSON representation

Returns

Estimator

Reconstructed estimator instance

Inherited from

Estimator.load