We call continuous feature a feature with numerical values.
In issue #25 I proposed to expand a continuous feature in a set of binary features.
Another solution discussed with Bruno: possibility to add requests such as feat < x where feat is a numerical feature and x a numerical value.
It can be very useful to add the clustering of a continuous feature following a given gap, maybe with min and/or max values:
X.feat[gap=g] will cluster the values of X.feat by packs of size gX.feat[gap=g, min=a, max=b] will cluster the values between a and b by pack of size g, with two packs for all values < a and > b.
We call continuous feature a feature with numerical values.
In issue #25 I proposed to expand a continuous feature in a set of binary features.
Another solution discussed with Bruno: possibility to add requests such as
feat < xwherefeatis a numerical feature andxa numerical value.It can be very useful to add the clustering of a continuous feature following a given gap, maybe with min and/or max values:
X.feat[gap=g]will cluster the values of X.feat by packs of size gX.feat[gap=g, min=a, max=b]will cluster the values between a and b by pack of size g, with two packs for all values < a and > b.