# This script needs these libraries to be installed: # numpy, transformers, datasets import wandb import os import numpy as np from datasets import load_dataset from transformers import TrainingArguments, Trainer from transformers import AutoTokenizer, AutoModelForSequenceClassification def tokenize_functio...
np.set_printoptions(suppress=True)np.set_printoptions(precision=4)# from pylab import mpl# mpl.rcParams['font.sans-serif'] = ['SimHei'] # 指定默认字体:解决plot不能显示中文问题# mpl.rcParams['axes.unicode_minus'] = False # 解决保存图像是负号'-'显示为方块的问题dataset=datasets.load_breast_...
# 需要導入模塊: import DataLoader [as 別名]# 或者: from DataLoader importload_datasets_from_h5py[as 別名]#...這裏部分代碼省略...use_domain_embedding =Trueelifint(arg) ==0: use_domain_embedding =Falseelse: print("Option {} is not valid!".format(opt)) metric_types = ['accuracy','...
from sklearn.datasets import make_blobs:聚类数据生成器 import numpy as np import matplotlib.pyplot as plt from sklearn import datasets from sklearn.cluster import DBSCAN #matplotlib inline X1, y1=datasets.make_circles(n_samples=5000, factor=.6, noise=.05) X2, y2 = datasets.make_blobs(n_...
your features from training dataset to find external datasets and features which only give accuracy improvement to your existing data and estimate accuracy uplift (optional) Load training dataset into pandas dataframe and separate features' columns from label column in a Scikit-learn way: import pandas...
File partitioning for large datasets If you have a Microsoft Customer Agreement, Microsoft Partner Agreement, or Enterprise Agreement, you can enable Exports to chunk your file into multiple smaller file partitions to help with data ingestion. When you initially configure your export, set the File ...
Load metadata to DLF: Use the DLF API to upload the processed metadata to Alibaba Cloud DLF. Precautions The first time you run a Spark job to migrate metadata from a dataset that contains approximately 5,000,000 partitions, about 2 to 3 hours may be required to migrate the metadata...
Custom datasets can be created from a folder containing images; seepython dataset_tool.py --helpfor more information. Alternatively, the folder can also be used directly as a dataset, without running it throughdataset_tool.pyfirst, but doing so may lead to suboptimal performance. ...
For a finite dataset, training is reiterated through the dataset (if all data is exhausted) until `max_steps` is reached. I'm using Python v3.10.12, transformers==4.36.2, datasets==2.16.1, accelerate==0.26.0, torch==2.1.2. Ubadub, xinnianzhao, clarinevong, VeryLazyBoy, and machengc...
{'dataset_params': {'metric_type': 'L2', 'dim': 128, 'scalars_index': {'int8_1': {}, 'int16_1': {}, 'int32_1': {}, 'int64_1': {}, 'double_1': {}, 'float_1': {}, 'varchar_1': {}, 'int8_2': {'index_type': 'INVERTED'}, 'int16_2': {'index_type':...