Namespace: ml

dg.ml

Functions

applyModel

▸ applyModel(name, table, columnNamesMap?, showProgress?): Promise<DataFrame>

Applies predictive model to the specified table. See example: https://public.datagrok.ai/js/samples/domains/data-science/predictive-model

Async

Parameters

Name	Type	Default value	Description
name	string	undefined	Model namespace path.
table	DataFrame	undefined	Data table.
columnNamesMap	object	{}	Columns map.
showProgress	boolean	true	Maximum number of results to return.

Returns

Promise<DataFrame>

Defined in

src/ml.ts:21

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cluster

▸ cluster(table, features, clusters): Promise<DataFrame>

Clusters data. See example: https://public.datagrok.ai/js/samples/domains/data-science/cluster

Async

Parameters

Name	Type	Description
table	DataFrame	Data table.
features	string[]	List of column names containing features.
clusters	number	Number of clusters.

Returns

Promise<DataFrame>

Defined in

src/ml.ts:48

---

missingValuesImputation

▸ missingValuesImputation(table, impute, data, nearestNeighbours): Promise<DataFrame>

Imputes missing values. See example: https://public.datagrok.ai/js/samples/domains/data-science/missing-values-imputation

Async

Parameters

Name	Type	Description
table	DataFrame	Data table.
impute	string[]	List of column names to impute missing values.
data	string[]	List of column names containing data.
nearestNeighbours	number	Number of nearest neighbours.

Returns

Promise<DataFrame>

Defined in

src/ml.ts:35

---

pca

▸ pca(table, features, components, center, scale): Promise<DataFrame>

Principal component analysis. See example: https://public.datagrok.ai/js/samples/domains/data-science/pca

Async

Parameters

Name	Type	Description
table	DataFrame	Data table.
features	string[]	List of column names containing features.
components	number	Number of clusters.
center	boolean	Center features data before PCA.
scale	boolean	Scale features data before PCA.

Returns

Promise<DataFrame>

Defined in

src/ml.ts:63

---

randomData

▸ randomData(table, distribution, params, seed): Promise<DataFrame>

Creates a table with random values from the specified distribution. Documentation: https://datagrok.ai/help/transform/random-data See example: https://public.datagrok.ai/js/samples/domains/data-science/random-data

Async

Parameters

Name	Type	Description
table	DataFrame	Data table.
distribution	string	Distribution name.
params	object	Distribution parameters.
seed	number	Initial seed.

Returns

Promise<DataFrame>

Defined in

src/ml.ts:78