Add logistic regression functions to API.

PiperOrigin-RevId: 463645193
This commit is contained in:
Steve Chien 2022-07-27 12:04:31 -07:00 committed by A. Unique TensorFlower
parent 17cd0c52bc
commit 848cfc74c1
4 changed files with 30 additions and 0 deletions

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@ -33,6 +33,9 @@ py_library(
"//tensorflow_privacy/privacy/dp_query:tree_range_query",
"//tensorflow_privacy/privacy/estimators:dnn",
"//tensorflow_privacy/privacy/keras_models:dp_keras_model",
"//tensorflow_privacy/privacy/logistic_regression:datasets",
"//tensorflow_privacy/privacy/logistic_regression:multinomial_logistic",
"//tensorflow_privacy/privacy/logistic_regression:single_layer_softmax",
"//tensorflow_privacy/privacy/optimizers:dp_optimizer_keras",
"//tensorflow_privacy/privacy/optimizers:dp_optimizer_keras_vectorized",
"//tensorflow_privacy/v1:tensorflow_privacy_v1",

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@ -71,4 +71,13 @@ else:
from tensorflow_privacy.privacy.optimizers.dp_optimizer_keras_vectorized import VectorizedDPKerasSGDOptimizer
from tensorflow_privacy.privacy.optimizers.dp_optimizer_keras_vectorized import make_vectorized_keras_optimizer_class
# Logistic regression
from tensorflow_privacy.privacy.logistic_regression.datasets import linearly_separable_labeled_examples
from tensorflow_privacy.privacy.logistic_regression.datasets import synthetic_linearly_separable_data
from tensorflow_privacy.privacy.logistic_regression.multinomial_logistic import logistic_objective_perturbation
from tensorflow_privacy.privacy.logistic_regression.multinomial_logistic import logistic_dpsgd
from tensorflow_privacy.privacy.logistic_regression.single_layer_softmax import single_layer_softmax_classifier
# module `bolt_on` not yet available in this version of TF Privacy

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@ -4,6 +4,11 @@ package(default_visibility = ["//visibility:public"])
licenses(["notice"])
py_library(
name = "logistic_regression",
srcs = ["__init__.py"],
)
py_library(
name = "multinomial_logistic",
srcs = ["multinomial_logistic.py"],

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@ -0,0 +1,13 @@
# Copyright 2022, The TensorFlow Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.