tech.xgboost — techascent/tech.xgboost 1.0

byte-array->model clj

(byte-array->model data)

load clj

(load path)

model->byte-array clj

(model->byte-array model)

model-type->xgboost-objective clj multimethod

predict clj

(predict model dataset feature-keys)

save clj

(save trained-model path)

train clj

(train dataset
       feature-keys
       label-key
       model-type
       {:keys [alpha eta lambda max-depth scale-pos-weight subsample round]
        :or {alpha 0.0
             eta 0.3
             lambda 0.0
             max-depth 6
             scale-pos-weight 1.0
             subsample 0.87
             round 25}
        :as options})