Deberta models 对最终匿名文本非常有效. 将文本里的匿名q替换成i或x效果更佳. For both cases one can understand that the pretrained debertas have a better tokenization compared to usingq. For example a lot of texts the debertas originally have been trained on, have explicit tokens for i, ii, ...
一般学习率过大的话训练会抖动，然后过小的话收敛比较慢，这个过程中我们也用到队员开发的一个工具Hyper...
Kaggle选定的命题大多是生活和工作中的实际问题，能够直接跟社会需要的技能衔接，发散性强，同时还综合体现...
dataset_blend_train = np.zeros((Xtrain.shape[0],len(set(y.tolist())) # dataset_blend_test = np.zeros((Xtest.shape[0],len(set(y.tolist())) dataset_blend_test_list=[] loglossList=[] for i, (train, test) in enumerate(skf): # dataset_blend_test_j = [] X_train = Xtrain...
Reduce memory spike while creating lightgbm dataset 在训练lgb前将数据转化为float32可以减少内存占用 X_train_np = train.values.astype(np.float32) X_valid_np = valid.values.astype(np.float32) features = train.columns lgb_train = lgb.Dataset(X_train_np, label=y_tr, feature_name=list(features...
从学术界来讲,我的几位统计系、商学院的老师对我参加过两次Kaggle比赛这件事情都非常感兴趣,有的想让我跟他们做research,研究Kaggle平台;有的想在学校开一个小组专门做Kaggle。他们很看重跟industry之间的合作,尤其是想要用他们研发的模型/algorithm用在real industry dataset上。” ...
# dataset_blend_test = np.zeros((Xtest.shape[0],len(set(y.tolist())) dataset_blend_test_list=[] loglossList=[] for i, (train, test) in enumerate(skf): # dataset_blend_test_j = [] X_train = Xtrain[train] y_train =dummy_y[train] X_...
For example: If you live inMexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service. Whereas if you live inTurkey, and the declared value of your...
前人说过,对数据的特征分析比模型的建立还重要,因此打算用Titanic这个数据集,对特征分析(feature engineering) 作一个深入的了解。 数据分析 首先在拿到Titanic模型的train.csv和test.csv后,先打印出来观察。 import pandas as pd #数据分析 import numpy as np #科学计算 ...
在学校里往往是拿不到任何大规模的数据。绝大多数课堂上用的还是只有几百个几千个数据的UCI dataset。