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path: "tensorflow.estimator.LinearRegressor"
tf_class {
is_instance: "<class \'tensorflow.python.estimator.canned.linear.LinearRegressor\'>"
is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>"
is_instance: "<type \'object\'>"
member {
name: "config"
mtype: "<type \'property\'>"
}
member {
name: "model_dir"
mtype: "<type \'property\'>"
}
member {
name: "model_fn"
mtype: "<type \'property\'>"
}
member {
name: "params"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'feature_columns\', \'model_dir\', \'label_dimension\', \'weight_column\', \'optimizer\', \'config\', \'partitioner\', \'warm_start_from\', \'loss_reduction\', \'sparse_combiner\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Ftrl\', \'None\', \'None\', \'None\', \'weighted_sum\', \'sum\'], "
}
member_method {
name: "eval_dir"
argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "evaluate"
argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "export_savedmodel"
argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], "
}
member_method {
name: "get_variable_names"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_variable_value"
argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "latest_checkpoint"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "predict"
argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
}
member_method {
name: "train"
argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
}
}
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