[Feature Request]: Batch Feature Registration

[ahmadnazeri]

Description

In order to register all or subset of columns in a dataset, currently, the user has to manually type all the columns. We need to support a batch Feature registration.

How it would look like?

import featureform as ff

@ff.entity
class User:
    nv_features = ff.MultiFeature(name, variant, feature_variants="", entity_column="account_id", include_columns=[], exclude_columns=[], timestamp_column="", inference_store=redis)

    dataset_features = ff.MultiFeature(ff_dataset, feature_variants="", entity_column="account_id", include_columns=[], exclude_columns=[], inference_store=redis)

    df_features = ff.MultiFeature(pandas_df, feature_variants="", entity_column="account_id", include_columns=[], exclude_columns=[], inference_store=redis)

This would allow users to specify a name and variant, featureform dataset, or a pandas dataframe to register features based on the columns of a dataset.

Current Behavior

No response

Desired Behavior

import featureform as ff

@ff.entity
class User:
    nv_features = ff.MultiFeature(name, variant, feature_variants="", entity_column="account_id", include_columns=[], exclude_columns=[], timestamp_column="", inference_store=redis)

    dataset_features = ff.MultiFeature(ff_dataset, feature_variants="", entity_column="account_id", include_columns=[], exclude_columns=[], inference_store=redis)

    df_features = ff.MultiFeature(pandas_df, feature_variants="", entity_column="account_id", include_columns=[], exclude_columns=[], inference_store=redis)

Benefits

It automates the process of registering lots of columns as features.

Possible Implementation

No response

Additional Context

No response