in src/sagemaker/amazon/linear_learner.py [0:0]
def __init__(
self,
role,
instance_count=None,
instance_type=None,
predictor_type=None,
binary_classifier_model_selection_criteria=None,
target_recall=None,
target_precision=None,
positive_example_weight_mult=None,
epochs=None,
use_bias=None,
num_models=None,
num_calibration_samples=None,
init_method=None,
init_scale=None,
init_sigma=None,
init_bias=None,
optimizer=None,
loss=None,
wd=None,
l1=None,
momentum=None,
learning_rate=None,
beta_1=None,
beta_2=None,
bias_lr_mult=None,
bias_wd_mult=None,
use_lr_scheduler=None,
lr_scheduler_step=None,
lr_scheduler_factor=None,
lr_scheduler_minimum_lr=None,
normalize_data=None,
normalize_label=None,
unbias_data=None,
unbias_label=None,
num_point_for_scaler=None,
margin=None,
quantile=None,
loss_insensitivity=None,
huber_delta=None,
early_stopping_patience=None,
early_stopping_tolerance=None,
num_classes=None,
accuracy_top_k=None,
f_beta=None,
balance_multiclass_weights=None,
**kwargs