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Version 1.0.9 update #222
Version 1.0.9 update #222
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enryH
commented
Sep 20, 2020
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edited
- add Embedding Layer (PR feature/embedding layer lrp #115 and Pr/115 #212 )
- make BatchNormalization LRP compatible: commit
- gitHub Actions GitHub action tf1 #210
- fix example notebooks: Some DeepLIFT bugfixes #195, Update introduction_development.ipynb #164, Update utils_imagenet.py #147
- old small bug fixes
import from innvestigate.analyzer.base
…ametrized) layers until a given index
Not "_deep_lift_func"
Fixing typo
Fix DeepLIFT bugfixes
Fix import of ReverseAnalyzerBase
Added LRP-analyzer class to allow application of LRP_flat on all (parametrized) layers until a given index
In relevance_rule.py new alpha-beta-rules are introduced in Feb. 2019. Is there any reference? "AlphaBetaXRule",
"AlphaBetaX1000Rule",
"AlphaBetaX1010Rule",
"AlphaBetaX1001Rule",
"AlphaBetaX2m100Rule" |
.github/workflows/pythonapp.yml
Outdated
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics | ||
# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide | ||
flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics | ||
# or pylint? |
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should this one stay?
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So you suggest removing the flake8 part?
@@ -44,7 +44,7 @@ def readme(): | |||
def setup(): | |||
setuptools.setup( | |||
name="innvestigate", | |||
version="1.0.8", | |||
version="1.0.9", |
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I suggest you update the authors below. At least you contributed too.
model.add(Dense(16, activation='relu')) | ||
model.add(Dense(2, activation=None)) | ||
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# print(model.layers[0].get_weights()[0].shape) |
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I guess this comment can go.
v1.0.9 is now on test.pypi.org for testing. |
Yes, if it is not used I would remove it.
…On Fri, Sep 25, 2020 at 11:54 AM Henry ***@***.***> wrote:
***@***.**** commented on this pull request.
------------------------------
In .github/workflows/pythonapp.yml
<#222 (comment)>:
> + uses: ***@***.***
+ with:
+ python-version: ${{ matrix.python-version }}
+ - name: Install dependencies
+ run: |
+ python -m pip install --upgrade pip
+ pip install .
+ pip install tensorflow==${{matrix.tensorflow-version}} matplotlib
+ - name: Lint with flake8
+ run: |
+ pip install flake8
+ # stop the build if there are Python syntax errors or undefined names
+ flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+ # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+ flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+ # or pylint?
So you suggest removing the flake8 part?
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--
Cheers,
Max
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