因为我进行了相互调用,我在父类中调用了子类。 fromsrc.datasetimportBaseDatasetclassPSINSDataset(BaseDataset): from src.main importPSINSDatasetclassBaseDataset(Dataset):
简介ImportError: cannot import name 'BaseDataset' from 'src.dataset' 因为我进行了相互调用,我在父类中调用了子类。 fromsrc.datasetimportBaseDatasetclassPSINSDataset(BaseDataset):fromsrc.mainimportPSINSDatasetclassBaseDataset(Dataset):
map(tokenize_function, batched=True) small_eval_dataset = small_train_dataset.map(tokenize_function, batched=True) # download the model model = AutoModelForSequenceClassification.from_pretrained( "distilbert-base-uncased", num_labels=5 ) # set the wandb project where this run will be logged ...
frompaddlenlp.trlimportSFTConfig,SFTTrainerfromdatasetsimportload_datasetdataset=load_dataset("ZHUI/alpaca_demo",split="train")training_args=SFTConfig(output_dir="Qwen/Qwen2.5-0.5B-SFT",device="gpu")trainer=SFTTrainer(args=training_args,model="Qwen/Qwen2.5-0.5B-Instruct",train_dataset=dataset, )...
Simple projects like a number guessing game, a to-do list application, or a basic data analysis using a dataset of your interest. Intermediate. More complex projects like a web scraper, a blog website using Django, or a machine learning model using Scikit-learn. Advanced. Large-scale ...
{ "name": "AzureDatabricksDeltaLakeDataset", "properties": { "type": "AzureDatabricksDeltaLakeDataset", "typeProperties": { "database": "<database name>", "table": "<delta table name>" }, "schema": [ < physical schema, optional, retrievable during authoring > ], "linkedServiceName...
You could reduce duplicate key processing by storing the already processed keys in a database and checking the database before processing a key. That would result in less space usage for the data stores, faster dataset creation, and possibly faster runtime. ...
type The type property of the dataset must be set to: OdbcTable Yes tableName Name of the table in the ODBC data store. No for source (if "query" in activity source is specified);Yes for sinkExampleJSON Copy { "name": "ODBCDataset", "properties": { "type": "OdbcTable", "schema...
JDBCAppendTableSink import org.apache.flink.api.scala._ import org.apache.flink.table.api.scala.{BatchTableEnvironment, table2RowDataSet} object BatchJob { case class Test(id: Int, key1: String, value1: Boolean, key2: Long, value2: Double) private var dbName: String = "default"...
database.ResultSetrs=getDataSet();//Traverse the result set and obtain records row by row.//The values of columns in each record are separated by the specified delimiter and end with a newline character to form strings.///Add the strings to the buffer.while(rs.next()){buffer.append(rs...