`lib.sedna.backend.base`¶

Module Contents¶

Classes¶

ML Framework Backend base Class

class lib.sedna.backend.base.BackendBase(estimator, fine_tune=True, **kwargs)[source]¶

ML Framework Backend base Class

property model_name(self)[source]¶

static parse_kwargs(func, **kwargs)[source]¶

train(self, *args, **kwargs)[source]¶: Train model.

predict(self, *args, **kwargs)[source]¶: Inference model.

predict_proba(self, *args, **kwargs)[source]¶: Compute probabilities of possible outcomes for samples in X.

evaluate(self, *args, **kwargs)[source]¶: evaluate model.

save(self, model_url='', model_name=None)[source]¶

model_info(self, model, relpath=None, result=None)[source]¶

load(self, model_url='', model_name=None, **kwargs)[source]¶

abstract set_weights(self, weights)[source]¶: Set weight with memory tensor.

abstract get_weights(self)[source]¶: Get the weights.