代码拉取完成,页面将自动刷新
同步操作将从 Gitee 极速下载/MLflow 强制同步,此操作会覆盖自 Fork 仓库以来所做的任何修改,且无法恢复!!!
确定后同步将在后台操作,完成时将刷新页面,请耐心等待。
# Databricks CLI
# Copyright 2017 Databricks, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"), except
# that the use of services to which certain application programming
# interfaces (each, an "API") connect requires that the user first obtain
# a license for the use of the APIs from Databricks, Inc. ("Databricks"),
# by creating an account at www.databricks.com and agreeing to either (a)
# the Community Edition Terms of Service, (b) the Databricks Terms of
# Service, or (c) another written agreement between Licensee and Databricks
# for the use of the APIs.
#
# 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.
import imp
import os
from setuptools import setup, find_packages
version = imp.load_source(
'mlflow.version', os.path.join('mlflow', 'version.py')).version
# Get a list of all files in the JS directory to include in our module
def package_files(directory):
paths = []
for (path, directories, filenames) in os.walk(directory):
for filename in filenames:
paths.append(os.path.join('..', path, filename))
return paths
# Prints out a set of paths (relative to the mlflow/ directory) of files in mlflow/server/js/build
# to include in the wheel, e.g. "../mlflow/server/js/build/index.html"
js_files = package_files('mlflow/server/js/build')
setup(
name='mlflow',
version=version,
packages=find_packages(exclude=['tests', 'tests.*']),
package_data={"mlflow": js_files},
install_requires=[
'awscli',
'click>=6.7',
'databricks-cli',
'requests>=2.17.3',
'six>=1.10.0',
'uuid',
'gitpython',
'Flask',
'pygal',
'zipstream',
'numpy',
'pandas',
'scipy',
'scikit-learn',
'python-dateutil',
'protobuf',
'gitpython',
'pyyaml',
'boto3',
'querystring_parser',
],
entry_points='''
[console_scripts]
mlflow=mlflow.cli:cli
''',
zip_safe=False,
author='Databricks',
description='MLflow: An ML Workflow Tool',
long_description=open('README.rst').read(),
license='Apache License 2.0',
classifiers=[
'Intended Audience :: Developers',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.6',
],
keywords='ml ai databricks',
url='https://mlflow.org/'
)
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。