  Here we present a catalog of 12,993 photometrically-classified supernova-like
light curves from the Zwicky Transient Facility, along with candidate host
galaxy associations. By training a random forest classifier on
spectroscopically classified supernovae from the Bright Transient Survey, we
achieve an accuracy of 80% across four supernova classes resulting in a final
data set of 8208 Type Ia, 2080 Type II, 1985 Type Ib/c, and 720 SLSN. Our work
represents a pathfinder effort to supply massive data sets of supernova light
curves with value-added information that can be used to enable population-scale
modeling of explosion parameters and investigate host galaxy environments.
