def fastlinear_load_model(model_file_name):
"""
fastlinear_load_model(model_file_name) -> model
Load a fastlinear_model from model_file_name and return.
"""
model = libfastlinear.fastlinear_load_model(model_file_name)
if not model:
print("can't open model file %s" % model_file_name)
return None
model = toPyModel(model)
return model
def fastlinear_load_model(model_file_name):
"""
fastlinear_load_model(model_file_name) -> model
Load a fastlinear_model from model_file_name and return.
"""
model = libfastlinear.fastlinear_load_model(model_file_name)
if not model:
print("can't open model file %s" % model_file_name)
return None
model = toPyModel(model)
return model
def liblinear_to_fastlinear(liblinear_models, weights, feat_dim, params=None):
num_models = len(weights)
c_weights = (c_double * num_models)()
model_ptr_ptr = (POINTER(liblinear_model) * num_models)()
for t in range(num_models):
c_weights[t] = c_double(weights[t])
model_ptr_ptr[t] = pointer(liblinear_models[t])
new_model = libfastlinear.create_fastlinear_model(model_ptr_ptr, c_weights, num_models, feat_dim)
del model_ptr_ptr
del c_weights
if not new_model:
print("can't do liblinear_to_fastlinear")
return None
return toPyModel(new_model)
def liblinear_to_fastlinear(liblinear_models, weights, feat_dim, params=None):
num_models = len(weights)
c_weights = (c_double * num_models)()
model_ptr_ptr = (POINTER(liblinear_model) * num_models)()
for t in range(num_models):
c_weights[t] = c_double(weights[t])
model_ptr_ptr[t] = pointer(liblinear_models[t])
new_model = libfastlinear.create_fastlinear_model(model_ptr_ptr, c_weights,
num_models, feat_dim)
del model_ptr_ptr
del c_weights
if not new_model:
print("can't do liblinear_to_fastlinear")
return None
return toPyModel(new_model)
