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|
%global _empty_manifest_terminate_build 0
Name: python-early-stopping
Version: 0.1.3
Release: 1
Summary: Early stopping for neural networks
License: MIT License
URL: https://pypi.org/project/early-stopping/
Source0: https://mirrors.aliyun.com/pypi/web/packages/1c/05/780882b8f4b582e09562f69dcc3ed11035b5c4fdf9c1e983456acf50d8f0/early-stopping-0.1.3.tar.gz
BuildArch: noarch
%description
# Early Stopping
I'm too lazy to read the Tensorflow documentation, so I made this simple early stopper. After each training step, feed the object the testing loss result for that epoch and it will return a boolean that says whether or not to break the training loop.
# Installation
Install through pip as shown:
```bash
pip install early-stopping
```
# Example Usage
```py
from early_stopping import EarlyStopping
early_stopper = EarlyStopping(
depth=5,
ignore=20,
method='consistency'
)
# Your training loop
for epoch in range(EPOCHS):
# Train step here
# Test step here
# Check if we should break the loop
if early_stopper.check(testing_loss):
print('BREAKING THE TRAINING LOOP')
break
```
%package -n python3-early-stopping
Summary: Early stopping for neural networks
Provides: python-early-stopping
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-early-stopping
# Early Stopping
I'm too lazy to read the Tensorflow documentation, so I made this simple early stopper. After each training step, feed the object the testing loss result for that epoch and it will return a boolean that says whether or not to break the training loop.
# Installation
Install through pip as shown:
```bash
pip install early-stopping
```
# Example Usage
```py
from early_stopping import EarlyStopping
early_stopper = EarlyStopping(
depth=5,
ignore=20,
method='consistency'
)
# Your training loop
for epoch in range(EPOCHS):
# Train step here
# Test step here
# Check if we should break the loop
if early_stopper.check(testing_loss):
print('BREAKING THE TRAINING LOOP')
break
```
%package help
Summary: Development documents and examples for early-stopping
Provides: python3-early-stopping-doc
%description help
# Early Stopping
I'm too lazy to read the Tensorflow documentation, so I made this simple early stopper. After each training step, feed the object the testing loss result for that epoch and it will return a boolean that says whether or not to break the training loop.
# Installation
Install through pip as shown:
```bash
pip install early-stopping
```
# Example Usage
```py
from early_stopping import EarlyStopping
early_stopper = EarlyStopping(
depth=5,
ignore=20,
method='consistency'
)
# Your training loop
for epoch in range(EPOCHS):
# Train step here
# Test step here
# Check if we should break the loop
if early_stopper.check(testing_loss):
print('BREAKING THE TRAINING LOOP')
break
```
%prep
%autosetup -n early-stopping-0.1.3
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-early-stopping -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.3-1
- Package Spec generated
|
