data = [train_df, test_df] for dataset in data: dataset['Fare'] = dataset['Fare'].fillna(dataset['Fare'].mean()) dataset['Fare'] = dataset['Fare'].astype(int) dataset.loc[ dataset['Fare'] <= 7.91, 'Fare'] = 0 dataset.loc[(dataset['Fare'] > 7.91) & (dataset['Fare'] <...
# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python # For example, here's several helpful packages to load import numpy as np # linear algebra import pandas as pd # data...
X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target, test_size=0.3) # 转换为Dataset数据格式 train_data = lgb.Dataset(X_train, label=y_train) validation_data = lgb.Dataset(X_test, label=y_test) # 参数 params = { 'learning_rate': 0.1, 'lambda_l1': 0.1...
如果现在Kaggle新建一个Notebook,里面默认的torch版本是2.0.0: 原项目中TextAudioLoader为Dataset的子类,在__getitem__函数中调用了get_audio_text_pair()函数,进而调用get_audio()函数。get_audio()函数调用了spectrogram_torch()函数对输入波形做短时Fourier变换(STFT),返回相应的频谱。 defget_audio_text_pair(s...
然后把train.txt和val.txt上传到Kaggle的Dataset中,具体操作见视频。 下一步需要构建训练和测试用的Dataset和定义collate_fn,这里我主要参考了下面两个链接: https://github.com/yuanzhoulvpi2017/zero_nlp https://github.com/liucongg/ChatGLM-Finetuning ...
importpandasaspdimportnumpyasnpimportglobimportfaissimportheapqimportpickleimportgcimporttimefromtqdmimporttqdmfromutilsimportget_timedifffromdatasetsimportload_dataset,load_from_diskbase_dir="./input"paraphs_parsed_dataset=load_from_disk(f"{base_dir}/wiki-270k")context_df=paraphs_parsed_dataset.to_panda...
基本上，如果你想使用KagglepythonAPI（@minh-triet提供的解决方案是针对命令行的而不是针对python的），...
document.querySelector("#top-toolbar > colab-connect-button").shadowRoot.querySelector("#connect").click() } setInterval(ConnectButton,60000); 1. 2. 3. 4. 5. 过几秒钟再输入如下代码: function closeButton(){ console.log("close"); ...
示例Download_Kaggle_Dataset_To_Colab的完整版本，在Windows下为我开始工作 我
# This code block downloads the full Cats-v-Dogs dataset and stores it as # cats-and-dogs.zip. It then unzips it to /tmp # which will create a tmp/PetImages directory containing subdirectories # called 'Cat' and 'Dog' (that's how the original researchers structured it) ...