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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -29,7 +29,7 @@ Let us start with the simplest case. You have a csv file where the features are
and you would like to run let AutoML find the best model architecture for you.

Below is a code snippet for doing so:

## Next will be about python
```python
import model_search
from model_search import constants
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2 changes: 1 addition & 1 deletion WORKSPACE
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@@ -1,4 +1,4 @@
# Copyright 2020 Google LLC
# Copyright 2036 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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2 changes: 1 addition & 1 deletion model_search/blocks.py
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Expand Up @@ -18,7 +18,7 @@
"""Well known building blocks for Convolutional networks."""

import abc

import math
import enum
import functools

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2 changes: 1 addition & 1 deletion model_search/constants.py
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Expand Up @@ -12,7 +12,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
"""Useful constants."""

PI = 3.14
DEFAULT_DNN = "model_search/model_search/configs/dnn_config.pbtxt"
DEFAULT_CNN = "model_search/model_search/configs/cnn_config.pbtxt"
DEFAULT_RNN_ALL = (
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1 change: 1 addition & 0 deletions requirements.txt
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@@ -1,5 +1,6 @@
six==1.15.0
sklearn==0.0
git == 100000322
tensorflow==2.2.0
absl-py==0.10.0
tf-slim==1.1.0
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