做网站个网站要多少钱,项目网络图被称为,wordpress下载站用什么模板,做网站需要多少固定带宽因为参加了DCASE2018比赛的声学场景分类的子任务#xff0c;这个比赛有个排行榜是用的kaggle来做的#xff0c;所以在比赛中#xff0c;用到过kaggle API#xff0c;下面是关于kaggle的使用笔记。 kaggle 是什么#xff1f;Kaggle是一个数据科学竞赛的平台#xff0c;很多… 因为参加了DCASE2018比赛的声学场景分类的子任务这个比赛有个排行榜是用的kaggle来做的所以在比赛中用到过kaggle API下面是关于kaggle的使用笔记。 kaggle 是什么Kaggle是一个数据科学竞赛的平台很多公司会发布一些接近真实业务的问题吸引爱好数据科学的人来一起解决。 点击导航栏的 competitions 可以看到有很多比赛其中正式比赛一般会有奖金或者工作机会除了正式比赛还有一些为初学者提供的 playground在这里可以先了解这个比赛练习能力再去参加正式比赛。 参赛方法参赛之前首先需要一个kaggle的账号激活之后找到自己感兴趣的competitions然后选择“join competitions”即可。 界面介绍Overview 首先在 overview 中仔细阅读问题的描述这个比赛是让我们预测房价它会给我们 79 个影响房价的变量我们可以通过应用 random forestgradient boosting 等算法来对房价进行预测。 Data在这里给我们提供了 train 数据集用来训练模型test 数据集用来将训练好的模型应用到这上面进行预测这个结果也是要提交到系统进行评价的sample_submission 就是我们最后提交的 csv 文件中里面的列的格式需要和这里一样。 Kernels可以看到一些参赛者分享的代码。 Discussion参赛者们可以在这里提问分享经验。 Leaderboard就是参赛者的排行榜。 参赛流程第一步在 Data 里面下载三个数据集最基本的就是上面提到的三个文件有些比赛会有附加的数据描述文件等。 第二步自己在线下分析建模调参把用 test 数据集预测好的结果按照 sample_submission 的格式输出到 csv 文件中。 第三步点击蓝色按钮 ’Submit Predictions’ 把 csv 文件拖拽进去然后系统就会加载并检验结果稍等片刻后就会在 Leaderboard 上显示当前结果所在的排名位置。上传过一次结果之后就直接加入了这场比赛。 注意正式比赛中每个团队每天有 5 次的上传机会然后就要等 24 小时再次传结果playground 的是 9 次。 kaggle API的安装及使用安装方法首先确保安装了Python和包管理器pip。 运行以下命令以使用命令行访问Kaggle API 1234// Windows系统默认的安装目录是“$ PYTHON_HOME / Scripts”pip install kaggle// Mac / Linux系统pip install --user kaggle下载API credentials要使用Kaggle API需要在kaggle官网上注册Kaggle帐户。 转到用户个人资料的’Account’标签然后选择“create API Token”之后会弹出kaggle.json的下载这是一个包含API credentials的文件。 将此文件放在〜/ .kaggle / kaggle.json位置在Windows上的位置C\ Users \ Windows-username \ .kaggle \ kaggle.json。 第一次安装的时候再C\ Users \ Windows-username \ .kaggle \ kaggle.json目录下没有.kaggle这个文件夹后来通过pip uninstall kaggle再重新安装之后自动出现.kaggle文件夹随后直接将kaggle.json文件复制到这个文件夹下面了。 您可以定义一个shell环境变量KAGGLE_CONFIG_DIR来将此位置更改为$ KAGGLE_CONFIG_DIR / kaggle.json在Windows上它将是KAGGLE_CONFIG_DIR\ kaggle.json。 命令命令行支持命令 123kaggle competitions {list,files,download,submit,submissions,leaderboard}kaggle datasets {list, files, download, create, version, init}kaggle config {view, set, unset}比赛——API支持Kaggle Competitions的命令。 List competitions 123456789usage: kaggle competitions list [-h] [-p PAGE] [-s SEARCH] [-v]optional arguments: -h, --help show this help message and exit -p PAGE, --page PAGE page number -s SEARCH, --search SEARCH term(s) to search for -v, --csv print in CSV format (if not set print in table format)例子 1kaggle competitions list -s healthList competition files123456789usage: kaggle competitions files [-h] [-c COMPETITION] [-v] [-q]optional arguments: -h, --help show this help message and exit -c COMPETITION, --competition COMPETITION Competition URL suffix (use kaggle competitions list to show options) If empty, the default competition will be used (use kaggle config set competition) -v, --csv Print results in CSV format (if not set print in table format) -q, --quiet Suppress printing information about download progress例子 1kaggle competitions files -c favorita-grocery-sales-forecastingDownload competition files1234567891011121314usage: kaggle competitions download [-h] [-c COMPETITION] [-f FILE] [-p PATH] [-w] [-o] [-q]optional arguments: -h, --help show this help message and exit -c COMPETITION, --competition COMPETITION Competition URL suffix (use kaggle competitions list to show options) If empty, the default competition will be used (use kaggle config set competition) -f FILE, --file FILE File name, all files downloaded if not provided (use kaggle competitions files -c competition to show options) -p PATH, --path PATH Folder where file(s) will be downloaded, defaults to ~/.kaggle -w, --wp Download files to current working path -o, --force Skip check whether local version of file is up to date, force file download -q, --quiet Suppress printing information about download progress例子: 12kaggle competitions download -c favorita-grocery-sales-forecastingkaggle competitions download -c favorita-grocery-sales-forecasting -f test.csv.7zSubmit to a competition1234567891011121314usage: kaggle competitions submit [-h] [-c COMPETITION] -f FILE -m MESSAGE [-q]required arguments: -f FILE, --file FILE File for upload (full path) -m MESSAGE, --message MESSAGE Message describing this submissionoptional arguments: -h, --help show this help message and exit -c COMPETITION, --competition COMPETITION Competition URL suffix (use kaggle competitions list to show options) If empty, the default competition will be used (use kaggle config set competition) -q, --quiet Suppress printing information about download progress例子: 1kaggle competitions submit -c favorita-grocery-sales-forecasting -f sample_submission_favorita.csv.7z -m My submission messageList competition submissions123456789usage: kaggle competitions submissions [-h] [-c COMPETITION] [-v] [-q]optional arguments: -h, --help show this help message and exit -c COMPETITION, --competition COMPETITION Competition URL suffix (use kaggle competitions list to show options) If empty, the default competition will be used (use kaggle config set competition) -v, --csv Print results in CSV format (if not set print in table format) -q, --quiet Suppress printing information about download progress例子: 1kaggle competitions submissions -c favorita-grocery-sales-forecastingGet competition leaderboard123456789101112usage: kaggle competitions leaderboard [-h] [-c COMPETITION] [-s] [-d] [-p PATH] [-q]optional arguments: -h, --help show this help message and exit -c COMPETITION, --competition COMPETITION Competition URL suffix (use kaggle competitions list to show options) If empty, the default competition will be used (use kaggle config set competition) -s, --show Show the top of the leaderboard -d, --download Download entire leaderboard -p PATH, --path PATH Folder where file(s) will be downloaded, defaults to ~/.kaggle -q, --quiet Suppress printing information about download progress例子: 1kaggle competitions leaderboard -c favorita-grocery-sales-forecasting -s数据集——API支持以下用于Kaggle数据集的命令。 List datasets12345678usage: kaggle datasets list [-h] [-p PAGE] [-s SEARCH] [-v]optional arguments: -h, --help show this help message and exit -p PAGE, --page PAGE Page number for results paging -s SEARCH, --search SEARCH Term(s) to search for -v, --csv Print results in CSV format (if not set print in table format)例子: 1kaggle datasets list -s demographicsList files for a dataset123456789usage: kaggle datasets files [-h] -d DATASET [-v]required arguments: -d DATASET, --dataset DATASET Dataset URL suffix in format owner/dataset-name (use kaggle datasets list to show options)optional arguments: -h, --help show this help message and exit -v, --csv Print results in CSV format (if not set print in table format)例子: 1kaggle datasets files -d zillow/zeconDownload dataset files123456789101112131415usage: kaggle datasets download [-h] -d DATASET [-f FILE] [-p PATH] [-w] [-o] [-q]required arguments: -d DATASET, --dataset DATASET Dataset URL suffix in format owner/dataset-name (use kaggle datasets list to show options)optional arguments: -h, --help show this help message and exit -f FILE, --file FILE File name, all files downloaded if not provided (use kaggle datasets files -d dataset to show options) -p PATH, --path PATH Folder where file(s) will be downloaded, defaults to ~/.kaggle -w, --wp Download files to current working path -o, --force Skip check whether local version of file is up to date, force file download -q, --quiet Suppress printing information about download progress例子: 123kaggle datasets download -d zillow/zeconkaggle datasets download -d zillow/zecon -f State_time_series.csvInitialize metadata file for dataset creation12345678usage: kaggle datasets init [-h] -p FOLDERrequired arguments: -p FOLDER, --path FOLDER Folder for upload, containing data files and a special metadata.json file (https://github.com/Kaggle/kaggle-api/wiki/Metadata)optional arguments: -h, --help show this help message and exit例子: 1kaggle datasets init -p /path/to/datasetCreate a new dataset1234567891011usage: kaggle datasets create [-h] -p FOLDER [-u] [-q]required arguments: -p FOLDER, --path FOLDER Folder for upload, containing data files and a special metadata.json file (https://github.com/Kaggle/kaggle-api/wiki/Metadata)optional arguments: -h, --help show this help message and exit -u, --public Create the Dataset publicly (default is private) -q, --quiet Suppress printing information about download progress -t, --keep-tabular Do not convert tabular files to CSV (default is to convert)例子: 1kaggle datasets create -p /path/to/datasetCreate a new dataset version1234567891011121314usage: kaggle datasets version [-h] -m VERSION_NOTES -p FOLDER [-q]required arguments: -m VERSION_NOTES, --message VERSION_NOTES Message describing the new version -p FOLDER, --path FOLDER Folder for upload, containing data files and a special metadata.json file (https://github.com/Kaggle/kaggle-api/wiki/Metadata)optional arguments: -h, --help show this help message and exit -q, --quiet Suppress printing information about download progress -t, --keep-tabular Do not convert tabular files to CSV (default is to convert) -d, --delete-old-versions Delete old versions of this dataset例子: 1kaggle datasets version -p /path/to/dataset -m Updated data配置 View current config values1234567891011121314usage: kaggle config path [-h] [-p PATH]optional arguments: -h, --help show this help message and exit -p PATH, --path PATH folder where file(s) will be downloaded, defaults to ~/.kaggleExample:kaggle config path -p C:\View current config valuesusage: kaggle config view [-h]optional arguments: -h, --help show this help message and exit例子: 1kaggle config viewSet a configuration value12345678910usage: kaggle config set [-h] -n NAME -v VALUErequired arguments: -n NAME, --name NAME Name of the configuration parameter (one of competition, path, proxy) -v VALUE, --value VALUE Value of the configuration parameter, valid values depending on name - competition: Competition URL suffix (use kaggle competitions list to show options) - path: Folder where file(s) will be downloaded, defaults to ~/.kaggle - proxy: Proxy for HTTP requests例子: 1kaggle config set -n competition -v titanicClear a configuration value12345usage: kaggle config unset [-h] -n NAMErequired arguments: -n NAME, --name NAME Name of the configuration parameter (one of competition, path, proxy)例子: 1kaggle config unset -n competition注意目前最大的限制是此时不以任何方式支持内核。 我们打算在不久的将来实施支持尽管没有ETA。 此外目前无法使用大型数据集 2GB。 参考kaggle官网kaggle API从0到1走进 Kaggle一个框架解决几乎所有机器学习问题Kaggle比赛从何着手kaggle入门python数据处理
