def build_item_features(self, data, normalize=True):
        """
        Build a item features matrix out of an iterable of the form
        (item id, [list of feature names]) or (item id, {feature name: feature weight}).

        Parameters
        ----------

        data: iterable of the form
            (item id, [list of feature names]) or (item id,
            {feature name: feature weight}).
            Item and feature ids will be translated to internal indices
            constructed during the fit call.
        normalize: bool, optional
            If true, will ensure that feature weights sum to 1 in every row.

        Returns
        -------

        feature matrix: CSR matrix (num items, num features)
            Matrix of item features.
        """

        builder = _FeatureBuilder(
            self._item_id_mapping,
            self._item_feature_mapping,
            self._item_identity_features,
            normalize,
            "item",
        )

        return builder.build(data)
def build_item_features ( self , data , normalize = True ) : builder = _FeatureBuilder ( self . _item_id_mapping , self . _item_feature_mapping , self . _item_identity_features , normalize , "item" , ) return builder . build ( data )
Build a item features matrix out of an iterable of the form
        (item id, [list of feature names]) or (item id, {feature name: feature weight}).

        Parameters
        ----------

        data: iterable of the form
            (item id, [list of feature names]) or (item id,
            {feature name: feature weight}).
            Item and feature ids will be translated to internal indices
            constructed during the fit call.
        normalize: bool, optional
            If true, will ensure that feature weights sum to 1 in every row.

        Returns
        -------

        feature matrix: CSR matrix (num items, num features)
            Matrix of item features.